569 lines
22 KiB
Python
569 lines
22 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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Step9 面板 - 水色指数反演（直接处理去耀斑 BSQ 影像）
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将 waterindex.csv 中的公式直接应用于去耀斑高光谱影像，
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输出各水质参数指数的 GeoTIFF 栅格图像。
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"""
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import os
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import traceback
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from pathlib import Path
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from typing import Dict, List, Optional
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from PyQt5.QtWidgets import (
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QWidget, QVBoxLayout, QHBoxLayout, QGridLayout, QFormLayout,
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QGroupBox, QLabel, QLineEdit, QComboBox, QCheckBox, QPushButton,
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QFileDialog, QMessageBox, QListWidget, QListWidgetItem,
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QAbstractItemView, QProgressBar, QTextEdit, QFrame,
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QScrollArea, QSizePolicy,
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)
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from PyQt5.QtGui import QFont
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from PyQt5.QtCore import Qt, QThread, pyqtSignal
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from src.gui.components.custom_widgets import FileSelectWidget
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from src.gui.styles import ModernStylesheet
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class WaterIndexWorker(QThread):
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"""后台线程：执行水色指数反演"""
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finished_ok = pyqtSignal(dict)
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failed = pyqtSignal(str)
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progress = pyqtSignal(str, float) # message, percent
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log = pyqtSignal(str)
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def __init__(
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self,
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bsq_path: str,
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hdr_path: str,
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output_dir: str,
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selected_formulas: List[str],
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waterindex_csv: str,
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water_mask_path: Optional[str] = None,
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work_dir: Optional[str] = None,
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):
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super().__init__()
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self.bsq_path = bsq_path
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self.hdr_path = hdr_path
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self.output_dir = output_dir
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self.selected_formulas = selected_formulas
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self.waterindex_csv = waterindex_csv
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self.water_mask_path = water_mask_path
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self.work_dir = work_dir
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def run(self):
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try:
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from src.core.algorithms.waterindex_inversion import WaterIndexProcessor
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self.progress.emit("正在初始化水色指数处理器…", 2)
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processor = WaterIndexProcessor(self.waterindex_csv)
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self.progress.emit("正在读取影像元数据…", 5)
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# 获取影像元数据
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meta = processor.get_image_metadata(self.bsq_path, self.hdr_path)
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if not meta:
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self.failed.emit("无法读取影像元数据，请检查 BSQ 和 HDR 文件是否匹配")
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return
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n_bands = meta.get('bands', 0)
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wv_range = meta.get('wavelength_range', '未知')
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self.log.emit(
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f"影像信息: {meta['width']}×{meta['height']} 像素, "
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f"{n_bands} 波段, {wv_range}"
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)
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if self.water_mask_path:
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self.log.emit(f"使用水域掩膜: {self.water_mask_path}")
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# 使用 run_inversion 入口（含掩膜拦截链路）
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results = processor.run_inversion(
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deglint_img_path=self.bsq_path,
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work_dir=self.work_dir or self.output_dir,
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formula_csv_path=self.waterindex_csv,
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selected_formulas=self.selected_formulas,
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water_mask_path=self.water_mask_path,
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callback=self._on_progress,
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)
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self.progress.emit(f"完成！共生成 {len(results)} 个指数图", 100)
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self.finished_ok.emit(results)
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except Exception as e:
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self.failed.emit(f"{e}\n{traceback.format_exc()}")
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def _on_progress(self, msg: str, pct: float):
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self.progress.emit(msg, pct)
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class Step11WaterColorPanel(QWidget):
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"""步骤11：水色指数反演（直接处理 BSQ 影像）"""
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def __init__(self, parent=None):
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super().__init__(parent)
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self._worker: Optional[WaterIndexWorker] = None
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self._waterindex_csv = self._find_waterindex_csv()
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self._categories: List[str] = []
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self._all_formulas: List[Dict] = []
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self._formula_list_widgets: Dict[str, QListWidgetItem] = {}
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self.init_ui()
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self._load_formulas()
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def init_ui(self):
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layout = QVBoxLayout()
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# ---- 标题 ----
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title = QLabel("步骤11：水色指数反演（高光谱影像直接处理）")
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title.setFont(QFont("Arial", 12, QFont.Bold))
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layout.addWidget(title)
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# ---- 说明 ----
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hint = QLabel(
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"将 waterindex.csv 中的公式直接应用于去耀斑高光谱影像（BSQ），"
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"输出各水质参数指数的 GeoTIFF 栅格图像。"
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"指数图可直接用于水质专题图生成。"
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)
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hint.setWordWrap(True)
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hint.setStyleSheet(f"color: {ModernStylesheet.COLORS.get('text_secondary', '#666')};")
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layout.addWidget(hint)
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# ---- 输入影像选择 ----
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input_group = QGroupBox("输入影像")
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input_layout = QFormLayout()
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self.bsq_file = FileSelectWidget(
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"去耀斑 BSQ 影像:",
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"BSQ Files (*.bsq);;DAT Files (*.dat);;All Files (*.*)"
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)
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self.bsq_file.line_edit.setPlaceholderText("选择去耀斑处理后的 BSQ 影像")
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self.bsq_file.browse_btn.clicked.disconnect()
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self.bsq_file.browse_btn.clicked.connect(self._browse_bsq)
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input_layout.addRow("BSQ 影像:", self.bsq_file)
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self.hdr_file = FileSelectWidget(
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"ENVI 头文件:",
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"HDR Files (*.hdr);;All Files (*.*)"
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)
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self.hdr_file.line_edit.setPlaceholderText("自动关联同路径 .hdr 文件")
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self.hdr_file.browse_btn.clicked.disconnect()
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self.hdr_file.browse_btn.clicked.connect(self._browse_hdr)
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input_layout.addRow("HDR 文件:", self.hdr_file)
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# 影像信息显示
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self.meta_label = QLabel("未加载影像")
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self.meta_label.setStyleSheet(
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"background: #f0f0f0; padding: 4px 8px; border-radius: 4px; "
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"font-size: 12px; color: #333;"
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)
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input_layout.addRow("影像信息:", self.meta_label)
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input_group.setLayout(input_layout)
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layout.addWidget(input_group)
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# ---- 公式选择 ----
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formula_group = QGroupBox("公式选择")
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formula_layout = QGridLayout()
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# 类别过滤
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formula_layout.addWidget(QLabel("按类别筛选:"), 0, 0)
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self.category_combo = QComboBox()
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self.category_combo.currentTextChanged.connect(self._on_category_changed)
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formula_layout.addWidget(self.category_combo, 0, 1, 1, 2)
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# 全选/取消全选
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select_btn_layout = QHBoxLayout()
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self.select_all_btn = QPushButton("全选")
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self.select_all_btn.setMaximumWidth(80)
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self.select_all_btn.clicked.connect(self._select_all)
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select_btn_layout.addWidget(self.select_all_btn)
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self.deselect_all_btn = QPushButton("取消全选")
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self.deselect_all_btn.setMaximumWidth(80)
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self.deselect_all_btn.clicked.connect(self._deselect_all)
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select_btn_layout.addWidget(self.deselect_all_btn)
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select_btn_layout.addStretch()
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formula_layout.addLayout(select_btn_layout, 0, 3)
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# 公式列表
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self.formula_list = QListWidget()
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self.formula_list.setSelectionMode(QAbstractItemView.MultiSelection)
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self.formula_list.setMinimumHeight(200)
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self.formula_list.itemChanged.connect(self._on_item_changed)
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formula_layout.addWidget(self.formula_list, 1, 0, 1, 4)
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formula_group.setLayout(formula_layout)
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layout.addWidget(formula_group)
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# ---- 输出设置 ----
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output_group = QGroupBox("输出设置")
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output_layout = QFormLayout()
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self.output_dir = FileSelectWidget(
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"输出目录:",
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"Directories"
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)
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self.output_dir.line_edit.setPlaceholderText("留空 → 工作目录/10_WaterIndex_Images")
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self.output_dir.browse_btn.clicked.disconnect()
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self.output_dir.browse_btn.clicked.connect(self._browse_output_dir)
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output_layout.addRow("输出目录:", self.output_dir)
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self.format_combo = QComboBox()
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self.format_combo.addItems(["GTiff (GeoTIFF)", "ENVI", "PCI"])
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self.format_combo.setCurrentIndex(0)
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output_layout.addRow("输出格式:", self.format_combo)
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output_group.setLayout(output_layout)
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layout.addWidget(output_group)
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# ---- 进度显示 ----
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self.progress_bar = QProgressBar()
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self.progress_bar.setMinimum(0)
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self.progress_bar.setMaximum(100)
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self.progress_bar.setValue(0)
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self.progress_bar.setTextVisible(True)
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layout.addWidget(self.progress_bar)
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self.progress_label = QLabel("")
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self.progress_label.setStyleSheet("font-size: 11px; color: #666;")
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layout.addWidget(self.progress_label)
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# ---- 启用 & 运行 ----
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self.enable_checkbox = QCheckBox("启用此步骤")
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self.enable_checkbox.setChecked(True)
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layout.addWidget(self.enable_checkbox)
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self.run_btn = QPushButton("▶ 执行水色指数反演")
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self.run_btn.setStyleSheet(ModernStylesheet.get_button_stylesheet('success'))
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self.run_btn.clicked.connect(self.run_step)
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layout.addWidget(self.run_btn)
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layout.addStretch()
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self.setLayout(layout)
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def _find_waterindex_csv(self) -> str:
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"""查找 waterindex.csv 路径"""
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candidates = [
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Path(__file__).parent.parent.parent / "model" / "waterindex.csv",
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Path(__file__).parent.parent.parent.parent / "src" / "gui" / "model" / "waterindex.csv",
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]
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for c in candidates:
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if c.exists():
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return str(c)
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return ""
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def _load_formulas(self):
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"""加载 waterindex.csv 中的公式"""
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if not self._waterindex_csv or not Path(self._waterindex_csv).exists():
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self.meta_label.setText("⚠️ waterindex.csv 未找到")
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return
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import csv
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self._all_formulas = []
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try:
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with open(self._waterindex_csv, 'r', encoding='utf-8-sig') as f:
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reader = csv.DictReader(f)
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self._all_formulas = list(reader)
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except Exception as e:
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self.meta_label.setText(f"⚠️ 加载公式失败: {e}")
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return
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# 提取所有类别
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cats = set()
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for f in self._all_formulas:
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c = f.get('Category', '').strip()
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if c:
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cats.add(c)
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self._categories = sorted(cats)
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self.category_combo.clear()
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self.category_combo.addItem("全部")
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self.category_combo.addItems(self._categories)
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self._populate_list("全部")
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def _populate_list(self, category: str):
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"""根据类别填充公式列表"""
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self.formula_list.clear()
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self._formula_list_widgets.clear()
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formulas_to_show = (
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[f for f in self._all_formulas if f.get('Category', '') == category]
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if category != "全部"
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else self._all_formulas
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)
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for f in formulas_to_show:
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name = f.get('Formula_Name', '')
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formula_str = f.get('Formula', '')
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cat = f.get('Category', '')
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ftype = f.get('Formula_Type', '')
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item = QListWidgetItem()
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item.setFlags(item.flags() | Qt.ItemIsUserCheckable)
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item.setCheckState(Qt.Checked)
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item.setData(Qt.UserRole, name)
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item.setText(
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f"☑ {name} [{cat}] ({ftype})\n {formula_str}"
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)
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item.setToolTip(f"{name}\n{category}\n{formula_str}")
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self.formula_list.addItem(item)
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self._formula_list_widgets[name] = item
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def _on_category_changed(self, category: str):
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self._populate_list(category)
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def _select_all(self):
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for item in self.formula_list.selectedItems():
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item.setCheckState(Qt.Checked)
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# 也全选当前显示的
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for i in range(self.formula_list.count()):
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it = self.formula_list.item(i)
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it.setCheckState(Qt.Checked)
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def _deselect_all(self):
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for i in range(self.formula_list.count()):
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it = self.formula_list.item(i)
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it.setCheckState(Qt.Unchecked)
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def _on_item_changed(self, item: QListWidgetItem):
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pass # 可扩展：实时统计选中数量
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||
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def _browse_bsq(self):
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path, _ = QFileDialog.getOpenFileName(
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self, "选择去耀斑 BSQ 影像",
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"",
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"BSQ Files (*.bsq);;DAT Files (*.dat);;All Files (*.*)"
|
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)
|
||
if path:
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self.bsq_file.set_path(path)
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# 自动关联同路径 hdr
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hdr = Path(path).with_suffix('.hdr')
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if hdr.exists():
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self.hdr_file.set_path(str(hdr))
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self._load_metadata(path, str(hdr) if hdr.exists() else "")
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def _browse_hdr(self):
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path, _ = QFileDialog.getOpenFileName(
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self, "选择 ENVI 头文件",
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"",
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"HDR Files (*.hdr);;All Files (*.*)"
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)
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if path:
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self.hdr_file.set_path(path)
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bsq_path = self.bsq_file.get_path()
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if bsq_path:
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self._load_metadata(bsq_path, path)
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||
def _browse_output_dir(self):
|
||
d = QFileDialog.getExistingDirectory(self, "选择输出目录", "")
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if d:
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||
self.output_dir.set_path(d)
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||
|
||
def _load_metadata(self, bsq_path: str, hdr_path: str):
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"""加载并显示影像元数据"""
|
||
if not bsq_path or not Path(bsq_path).exists():
|
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self.meta_label.setText("⚠️ 影像文件不存在")
|
||
return
|
||
if not hdr_path or not Path(hdr_path).exists():
|
||
self.meta_label.setText("⚠️ 头文件不存在")
|
||
return
|
||
|
||
try:
|
||
from src.core.algorithms.waterindex_inversion import WaterIndexProcessor
|
||
processor = WaterIndexProcessor(self._waterindex_csv)
|
||
meta = processor.get_image_metadata(bsq_path, hdr_path)
|
||
if meta:
|
||
self.meta_label.setText(
|
||
f"✅ {meta['width']}×{meta['height']} | "
|
||
f"{meta['bands']} 波段 | {meta.get('wavelength_range', '未知')} | "
|
||
f"驱动: {meta['driver']}"
|
||
)
|
||
else:
|
||
self.meta_label.setText("⚠️ 无法读取元数据")
|
||
except Exception as e:
|
||
self.meta_label.setText(f"⚠️ 元数据读取失败: {e}")
|
||
|
||
def _get_selected_formula_names(self) -> List[str]:
|
||
names = []
|
||
for i in range(self.formula_list.count()):
|
||
item = self.formula_list.item(i)
|
||
if item.checkState() == Qt.Checked:
|
||
name = item.data(Qt.UserRole)
|
||
if name:
|
||
names.append(name)
|
||
return names
|
||
|
||
def _get_default_work_dir(self) -> str:
|
||
if hasattr(self, 'work_dir') and self.work_dir:
|
||
return str(self.work_dir)
|
||
mw = self.window()
|
||
if mw and hasattr(mw, 'work_dir') and mw.work_dir:
|
||
return str(mw.work_dir)
|
||
return ""
|
||
|
||
def get_config(self) -> dict:
|
||
bsq = self.bsq_file.get_path()
|
||
return {
|
||
'bsq_path': bsq,
|
||
'hdr_path': self.hdr_file.get_path(),
|
||
'deglint_img_path': bsq,
|
||
'output_dir': self.output_dir.get_path(),
|
||
'output_format': self.format_combo.currentText().split()[0],
|
||
'selected_formulas': self._get_selected_formula_names(),
|
||
}
|
||
|
||
def set_config(self, config: dict):
|
||
if config.get('bsq_path'):
|
||
self.bsq_file.set_path(config['bsq_path'])
|
||
if config.get('hdr_path'):
|
||
self.hdr_file.set_path(config['hdr_path'])
|
||
if config.get('output_dir'):
|
||
self.output_dir.set_path(config['output_dir'])
|
||
if 'selected_formulas' in config:
|
||
names = set(config['selected_formulas'])
|
||
for i in range(self.formula_list.count()):
|
||
item = self.formula_list.item(i)
|
||
name = item.data(Qt.UserRole)
|
||
item.setCheckState(Qt.Checked if name in names else Qt.Unchecked)
|
||
|
||
def update_from_config(self, work_dir=None, pipeline=None):
|
||
if work_dir:
|
||
self.work_dir = work_dir
|
||
elif hasattr(self, 'work_dir') and self.work_dir:
|
||
pass
|
||
else:
|
||
self.work_dir = None
|
||
|
||
main_window = self.window()
|
||
|
||
# 自动填入去耀斑影像
|
||
if main_window and hasattr(main_window, 'step3_panel'):
|
||
deglint_path = main_window.step3_panel.output_file.get_path()
|
||
if deglint_path and not self.bsq_file.get_path():
|
||
if not os.path.isabs(deglint_path):
|
||
deglint_path = os.path.join(self.work_dir or '', deglint_path).replace('\\', '/')
|
||
self.bsq_file.set_path(deglint_path)
|
||
hdr = Path(deglint_path).with_suffix('.hdr')
|
||
if hdr.exists():
|
||
self.hdr_file.set_path(str(hdr))
|
||
self._load_metadata(deglint_path, str(hdr))
|
||
|
||
# 自动填入输出目录
|
||
if self.work_dir:
|
||
out_dir = os.path.join(self.work_dir, "10_WaterIndex_Images").replace('\\', '/')
|
||
os.makedirs(out_dir, exist_ok=True)
|
||
if not self.output_dir.get_path():
|
||
self.output_dir.set_path(out_dir)
|
||
|
||
def run_step(self):
|
||
bsq_path = self.bsq_file.get_path().strip()
|
||
hdr_path = self.hdr_file.get_path().strip()
|
||
output_dir = self.output_dir.get_path().strip()
|
||
|
||
# 验证输入
|
||
if not bsq_path:
|
||
QMessageBox.warning(self, "输入错误", "请选择去耀斑 BSQ 影像！")
|
||
return
|
||
if not Path(bsq_path).exists():
|
||
QMessageBox.warning(self, "输入错误", f"BSQ 影像不存在:\n{bsq_path}")
|
||
return
|
||
if not hdr_path:
|
||
# 尝试自动查找
|
||
auto_hdr = Path(bsq_path).with_suffix('.hdr')
|
||
if auto_hdr.exists():
|
||
hdr_path = str(auto_hdr)
|
||
self.hdr_file.set_path(hdr_path)
|
||
else:
|
||
QMessageBox.warning(self, "输入错误", "请选择 ENVI 头文件！")
|
||
return
|
||
if not Path(hdr_path).exists():
|
||
QMessageBox.warning(self, "输入错误", f"HDR 文件不存在:\n{hdr_path}")
|
||
return
|
||
if not output_dir:
|
||
work_dir = self._get_default_work_dir()
|
||
output_dir = os.path.join(work_dir, "10_WaterIndex_Images").replace('\\', '/')
|
||
os.makedirs(output_dir, exist_ok=True)
|
||
self.output_dir.set_path(output_dir)
|
||
|
||
selected = self._get_selected_formula_names()
|
||
if not selected:
|
||
QMessageBox.warning(self, "输入错误", "请至少选择一个公式！")
|
||
return
|
||
|
||
if self._waterindex_csv and not Path(self._waterindex_csv).exists():
|
||
QMessageBox.warning(self, "配置错误", f"waterindex.csv 不存在:\n{self._waterindex_csv}")
|
||
return
|
||
|
||
# ── 自动扫描工作目录下的水域掩膜文件 ────────────────────────────
|
||
work_dir = self.work_dir or str(Path(bsq_path).parent)
|
||
mask_dir = os.path.join(work_dir, "1_water_mask")
|
||
water_mask_path: Optional[str] = None
|
||
if os.path.isdir(mask_dir):
|
||
# ★★★ glob 智能扫描：取任意 .dat 或 .tif 文件 ★★★
|
||
for pattern in ("*.dat", "*.tif", "*.TIF", "*.DT"):
|
||
candidates = sorted(Path(mask_dir).glob(pattern))
|
||
if candidates:
|
||
water_mask_path = str(candidates[0])
|
||
break
|
||
|
||
if water_mask_path:
|
||
print(f"[Step8] 自动找到水域掩膜: {water_mask_path}")
|
||
else:
|
||
print(f"[Step8] 未找到水域掩膜，跳过陆地剔除（陆地将保留在指数图中）")
|
||
|
||
# 开始后台处理
|
||
self.run_btn.setEnabled(False)
|
||
self.progress_bar.setValue(0)
|
||
self.progress_label.setText("")
|
||
|
||
self._worker = WaterIndexWorker(
|
||
bsq_path=bsq_path,
|
||
hdr_path=hdr_path,
|
||
output_dir=output_dir,
|
||
selected_formulas=selected,
|
||
waterindex_csv=self._waterindex_csv,
|
||
water_mask_path=water_mask_path,
|
||
work_dir=work_dir,
|
||
)
|
||
self._worker.progress.connect(self._on_progress)
|
||
self._worker.finished_ok.connect(self._on_finished)
|
||
self._worker.failed.connect(self._on_failed)
|
||
self._worker.log.connect(lambda m: self.progress_label.setText(m))
|
||
self._worker.start()
|
||
|
||
def _on_progress(self, msg: str, pct: float):
|
||
self.progress_bar.setValue(int(pct))
|
||
self.progress_label.setText(msg)
|
||
|
||
def _on_finished(self, results: Dict[str, str]):
|
||
self.run_btn.setEnabled(True)
|
||
n = len(results)
|
||
QMessageBox.information(
|
||
self, "执行成功",
|
||
f"水色指数反演完成！\n"
|
||
f"共生成 {n} 个指数图（GeoTIFF）。\n\n"
|
||
f"输出目录: {self.output_dir.get_path()}"
|
||
)
|
||
main_window = self.window()
|
||
if main_window and hasattr(main_window, 'log_message'):
|
||
main_window.log_message(f"步骤8：水色指数反演完成，生成 {n} 个指数图", "info")
|
||
|
||
def _on_failed(self, err: str):
|
||
self.run_btn.setEnabled(True)
|
||
self.progress_bar.setValue(0)
|
||
QMessageBox.critical(self, "执行错误", f"水色指数反演失败:\n\n{err[:500]}")
|
||
|
||
def get_output_dir(self) -> str:
|
||
return self.output_dir.get_path().strip() or ""
|
||
|
||
def get_output_tif_paths(self) -> List[str]:
|
||
"""获取输出目录下的所有 GeoTIFF 文件路径"""
|
||
out_dir = self.get_output_dir()
|
||
if not out_dir or not os.path.isdir(out_dir):
|
||
return []
|
||
return sorted(
|
||
str(p) for p in Path(out_dir).glob("*.tif")
|
||
if p.is_file()
|
||
) |