1. 融合300tc和hpi定标程序；

2. add：300tc中，从spatial bin1和spectral bin1的定标文件生成其他bin2的定标文件；

1.1radiance_calibration_300tc.py

@@ -8,6 +8,7 @@ import sys, os, traceback, re
 import shutil
 from radiance_calibration_ui import Ui_MainWindow
 from library.multithread import Worker
+from library.image_reader_writer import ImageReaderWriter
 import sys, traceback
 from osgeo import gdal
 from scipy.interpolate import interp1d
@@ -32,6 +33,7 @@ class EnterWindow(QMainWindow, Ui_MainWindow):
         self.out_file_bt.clicked.connect(self.select_out_file)
 
         self.operate_bt.clicked.connect(self.operate)
+        self.dark_checkBox.stateChanged.connect(self.disabledDark)
 
         self.tmp_rad_file_path = None  # 用于保存当前路径，下次打开就默认在此路径下
         self.tmp_dn_file_path = None  # 用于保存当前路径，下次打开就默认在此路径下
@@ -91,7 +93,14 @@ class EnterWindow(QMainWindow, Ui_MainWindow):
         self.out_file_le.setText(out_file_path)
 
     def operate(self):
-        self.radiance_calibration_object.operate()
+        if(self.dark_checkBox.isChecked()):
+            self.radiance_calibration_object.operate()
+        else:
+            self.radiance_calibration_object.operate_without_dark()
+
+    def disabledDark(self, isEnable):
+        self.dark_le.setEnabled(isEnable)
+        self.dark_bt.setEnabled(isEnable)
 
 
 class RadianceCalibration():
@@ -251,15 +260,24 @@ class RadianceCalibration():
 
             # 读取影像
             img_proj, img_geotrans, self.img_data = self.read_img(self.dn_file_path)
+            dn_hdr = spectral.envi.read_envi_header(self.get_hdr_filename(self.dn_file_path))
+
+            # 重采样
+            f = interp1d(self.asd_radiance[:, 0], self.asd_radiance[:, 1])
+            # wave_destination = dn_hdr["wavelength"].removeprefix("{").removesuffix("}").split(",")
+            asd_radiance_interpolated = [f(float(i)) for i in dn_hdr["wavelength"]]
+            asd_radiance_interpolated2 = np.array(asd_radiance_interpolated)
 
             # 将影像所有行平均，得到一行（帧）影像
             img_data_ave = np.mean(self.img_data, axis=1)
 
             gain = np.empty((img_data_ave.shape[0], 1, img_data_ave.shape[1]))
             for i in range(gain.shape[2]):
-                gain[:, 0, i] = self.asd_radiance[:, 1] / img_data_ave[:, i]
+                gain[:, 0, i] = asd_radiance_interpolated2 / img_data_ave[:, i]
 
-            self.write_img(self.out_file_path, gain)
+            gain_name = os.path.join(self.out_file_path, "gain.bip")
+            ImageReaderWriter.write_img(gain_name, gain)
+            # self.write_img(gain_name, gain)
         except:
             traceback.print_exc()
 

1.2radiance_calibration_corning410.py

@@ -73,6 +73,7 @@ class EnterWindow(QMainWindow, Ui_MainWindow):
         self.out_file_le.setText(out_file_path)
 
     def operate(self):
+
         self.radiance_calibration_object.operate()
 
 
@@ -94,6 +95,7 @@ class RadianceCalibration():
             # 读取asd辐亮度数据
             data = pd.read_csv(self.asd_radiance_file_path, sep='\t', dtype=np.float64, header=None)
             self.asd_radiance = np.array(data)
+
             # 读取影像
             img_proj, img_geotrans, self.img_data = ImageReaderWriter.read_img(self.dn_file_path)
 

change_bin_for_calfile.py

@@ -0,0 +1,55 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+import os
+import glob
+import sys, traceback, re
+from osgeo import gdal
+import numpy as np
+import matplotlib.pyplot as plt
+from library.image_reader_writer import ImageReaderWriter
+import spectral
+
+
+def write_img(dst_filename, data):
+    format = "ENVI"
+    driver = gdal.GetDriverByName(format)
+    RasterXSize = data.shape[2]  # 遥感影像的sample（列数）
+    RasterYSize = data.shape[1]  # 遥感影像的line（行数）
+    band = data.shape[0]
+    # driver.Create()函数中RasterXSize代表影像的sample（列数），RasterYSize代表影像的line（行数）
+    dst_ds = driver.Create(dst_filename, RasterXSize, RasterYSize, band, gdal.GDT_Float64,
+                           options=["INTERLEAVE=BIP"])
+    for i in range(band):
+        dst_ds.GetRasterBand(i + 1).WriteArray(data[i, :, :])  # gdal的band从1开始，所以dst_ds.GetRasterBand(i+1)
+    dst_ds = None
+
+
+gainfilepath = r'D:\delete\254_11\offset.bip'
+gainfilepathhdr = r'D:\delete\254_11\offset.bip.hdr'
+gainfilepath_out = r'D:\delete\254_11\convert\offset.bip'
+img_proj, img_geotrans, img_data = ImageReaderWriter.read_img(gainfilepath)
+
+# # 空间bin
+# gain = np.empty((300, 1, 688))
+# for i in range(gain.shape[2]):
+#     if i <= 683:
+#         gain[:, :, i] = img_data[:, :, i*2]  # 丢弃
+#     else:
+#         gain[:, :, i] = img_data[:, :, 683]  # 重复
+
+# 光谱bin
+gain = np.empty((150, 1, 1368))
+for i in range(gain.shape[0]):
+    gain[i, :, :] = (img_data[2 * i, :, :] + img_data[2 * i + 1, :, :]) / 2
+
+header_tmp = spectral.envi.read_envi_header(gainfilepathhdr)
+
+wavetmp = []
+for i in range(150):  # len(header_tmp["wavelength"])
+    x = (float(header_tmp["wavelength"][2 * i]) + float(header_tmp["wavelength"][2 * i + 1])) / 2
+    wavetmp.append(x)
+
+    print("%.4f, " % x, end='')
+
+write_img(gainfilepath_out, gain)

radiance_calibration_ui.py

@@ -2,9 +2,10 @@
 
 # Form implementation generated from reading ui file 'radiance_calibration_ui.ui'
 #
-# Created by: PyQt5 UI code generator 5.13.0
+# Created by: PyQt5 UI code generator 5.15.7
 #
-# WARNING! All changes made in this file will be lost!
+# WARNING: Any manual changes made to this file will be lost when pyuic5 is
+# run again.  Do not edit this file unless you know what you are doing.
 
 
 from PyQt5 import QtCore, QtGui, QtWidgets
@@ -73,6 +74,7 @@ class Ui_MainWindow(object):
         self.dn_bt.setObjectName("dn_bt")
         self.gridLayout.addWidget(self.dn_bt, 1, 2, 1, 1)
         self.dark_checkBox = QtWidgets.QCheckBox(self.frame)
+        self.dark_checkBox.setChecked(True)
         self.dark_checkBox.setObjectName("dark_checkBox")
         self.gridLayout.addWidget(self.dark_checkBox, 2, 0, 1, 1)
         self.dark_le = QtWidgets.QLineEdit(self.frame)
@@ -144,8 +146,18 @@ class Ui_MainWindow(object):
         self.rad_bt.setText(_translate("MainWindow", "浏览..."))
         self.label_3.setText(_translate("MainWindow", "DN"))
         self.dn_bt.setText(_translate("MainWindow", "浏览..."))
-        self.dark_checkBox.setText(_translate("MainWindow", "dark_checkBox"))
+        self.dark_checkBox.setText(_translate("MainWindow", "dark_300tc"))
         self.dark_bt.setText(_translate("MainWindow", "浏览..."))
         self.label_4.setText(_translate("MainWindow", "输出路径"))
         self.out_file_bt.setText(_translate("MainWindow", "浏览..."))
         self.operate_bt.setText(_translate("MainWindow", "执行"))
+
+
+if __name__ == "__main__":
+    import sys
+    app = QtWidgets.QApplication(sys.argv)
+    MainWindow = QtWidgets.QMainWindow()
+    ui = Ui_MainWindow()
+    ui.setupUi(MainWindow)
+    MainWindow.show()
+    sys.exit(app.exec_())

radiance_calibration_ui.ui

@@ -109,7 +109,7 @@
        <item row="2" column="0">
         <widget class="QCheckBox" name="dark_checkBox">
          <property name="text">
-          <string>dark</string>
+          <string>dark_300tc</string>
          </property>
          <property name="checked">
           <bool>true</bool>
@@ -215,7 +215,7 @@
      <x>0</x>
      <y>0</y>
      <width>964</width>
-     <height>23</height>
+     <height>26</height>
     </rect>
    </property>
   </widget>