可视化面板重构：目录/文件名双引擎汉化，Emoji图标智能分配

src/gui/panels/visualization_panel.py

@@ -548,22 +548,24 @@ class ImageCategoryTree(QTreeWidget):
 
     # 目录层级中文翻译
     DIR_MAPPING = {
-        "14_visualization": "可视化产物",
-        "glint_deglint_previews": "耀斑与去耀斑预览",
-        "sampling_maps": "采样点地图",
-        "scatter_plots": "模型评估散点图",
-        "flight_maps": "飞行轨迹图",
-        "11_12_13_predictions": "预测结果",
+        "14_visualization": "统计与分析报表",
+        "1_water_mask": "水域掩膜识别",
+        "2_glint": "耀斑区域检测",
+        "3_deglint": "去耀斑影像结果",
+        "5_training_spectra": "训练光谱特征",
+        "8_Regression_Modeling": "回归建模分析",
+        "9_water_quality_prediction": "水质预测结果",
+        "10_feature_construction": "特征构建散点",
+        "11_12_13_predictions": "空间分布专题图",
+        "glint_deglint_previews": "耀斑处理预览",
+        "sampling_maps": "采样点空间分布",
+        "flight_maps": "无人机飞行轨迹",
         "Machine_Learning_Prediction": "机器学习预测",
         "Non_Empirical_Prediction": "非经验模型预测",
         "Custom_Regression_Prediction": "自定义回归预测",
-        "8_Regression_Modeling": "回归建模",
-        "10_feature_construction": "特征构建",
-        "5_training_spectra": "训练光谱",
-        "2_glint": "耀斑分析",
-        "3_deglint": "去耀斑处理",
-        "1_water_mask": "水掩膜",
-        "9_water_quality_prediction": "水质预测",
+        "boxplot_dir": "水质参数箱线图",
+        "boxplot": "水质参数箱线图",
+        "output_dir": "输出目录",
         "8_spatial_inversion": "空间反演",
         "4_processed_data": "处理数据",
     }
@@ -610,59 +612,49 @@ class ImageCategoryTree(QTreeWidget):
         return self.DIR_MAPPING.get(dir_name, dir_name)
 
     def _translate_filename(self, filename: str) -> str:
-        """翻译文件名为中文（动态替换后缀片段）"""
-        # 依次替换常见后缀模式
-        replacements = [
-            ("_spectrum_comparison", " 光谱曲线对比图"),
-            ("_scatter_true_vs_pred", " 真值-预测散点图"),
-            ("_true_vs_pred", " 真值-预测散点图"),
-            ("_histogram", " 分布直方图"),
-            ("_boxplot", " 箱线图"),
-            ("_distribution_map", " 分布图"),
-            ("_distribution_enhanced", " 增强分布图"),
-            ("_thematic_map", " 专题图"),
-            ("_water_quality_map", " 水质分布图"),
-            ("_prediction_map", " 预测结果图"),
-            ("_inversion_map", " 反演结果图"),
-            ("_glint_deglint", " 耀斑去耀斑对比"),
-            ("_glint_mask", " 耀斑掩膜"),
-            ("_deglint", " 去耀斑"),
-            ("_mask_overlay", " 掩膜叠加"),
-            ("_content", " 含量"),
-            ("_distribution", " 分布"),
-            ("_prediction", " 预测"),
-            ("_inversion", " 反演"),
-            ("_enhanced", " 增强"),
-            ("_scatter", " 散点图"),
-            ("_boxplot", " 箱线图"),
-            ("_correlation_heatmap", " 相关性热力图"),
-            ("_parameter_boxplot", " 箱线图"),
-            ("_sampling_point", " 采样点"),
-            ("_sampling_points", " 采样点"),
-            ("_flight_path", " 飞行轨迹"),
-            ("_trajectory", " 轨迹"),
-        ]
-        result = filename
-        for pattern, replacement in replacements:
-            result = result.replace(pattern, replacement)
-
-        # 处理参数名（常见水质参数翻译）
-        param_map = {
-            "Chla": "叶绿素", "COD": "化学需氧量", "TN": "总氮", "TP": "总磷",
-            "Turbidity": "浊度", "DO": "溶解氧", "pH": "pH值",
-            "Conductivity": "电导率", "BOD": "生化需氧量", "NH3_N": "氨氮",
+        # 1. 后缀替换 (图表类型)
+        type_mapping = {
+            '_scatter_true_vs_pred': ' 真值预测散点图',
+            '_spectrum_comparison': ' 光谱曲线对比图',
+            '_spectrum': ' 光谱特征图',
+            '_histogram': ' 分布直方图',
+            '_boxplot_seaborn': ' Seaborn箱线图',
+            '_boxplot': ' 箱线图',
+            '_distribution_enhanced': ' 增强空间分布图',
+            '_distribution': ' 空间分布图',
+            '_sampling_map': ' 采样点地图',
+            '_flight_paths': ' 飞行轨迹图',
+            '_preview': ' 效果预览图',
+            'water_mask_overlay': '水域掩膜叠加图',
+            'hsi_preview': '原始影像预览',
+            'correlation_heatmap': '特征相关性热力图',
+            'parameter_boxplot': '水质参数汇总箱线图',
+            'all_parameters_boxplot': '全参数汇总箱线图',
+            'content_map': '含量分布专题图',
+            '_scatter_with_confidence': ' 置信区间散点图'
         }
-        for eng, chn in param_map.items():
-            # 在文件名中找到参数名并翻译
-            if eng.lower() in result.lower():
-                result = result.replace(eng, chn)
-            if eng.lower() in result.lower():
-                result = result.replace(eng.lower(), chn)
 
-        # 如果没有任何替换，返回原文件名（去掉扩展名）
-        if result == filename:
-            return filename.rsplit(".", 1)[0] if "." in filename else filename
-        return result
+        name = filename
+        for eng, chn in type_mapping.items():
+            if eng in name:
+                name = name.replace(eng, chn)
+
+        # 2. 常见水质参数前缀替换
+        param_mapping = {
+            'Chlorophyll': '叶绿素', 'Chl_a': '叶绿素a', 'Chla': '叶绿素a',
+            'Turbidity': '浊度', 'Temperature': '温度', 'spCond': '电导率',
+            'COD': '化学需氧量', 'DO': '溶解氧', 'PH': 'pH值', 'TDS': '总溶解固体',
+            'BGA': '蓝绿藻', 'TT': '透明度', 'NH3-N': '氨氮', 'NO3-N': '硝酸盐氮',
+            'severe_glint_area': '重度耀斑区域', 'deglint_goodman': 'Goodman算法去耀斑'
+        }
+
+        for eng, chn in param_mapping.items():
+            if name.startswith(eng + ' ') or name.startswith(eng + '_'):
+                name = name.replace(eng, chn, 1)
+            elif eng in name:
+                name = name.replace(eng, chn)
+
+        return name.strip('_')
 
     def add_image_by_dir(self, file_path: Path, work_path: Path):
         """按真实物理目录层级挂载图片节点
@@ -713,10 +705,19 @@ class ImageCategoryTree(QTreeWidget):
         else:
             parent_item = root_item
 
-        # 创建图片节点
+        # 创建图片节点（根据翻译后的名称分配图标）
         display_name = self._translate_filename(file_path.stem) + file_path.suffix
+        icon = "🖼️"  # 默认
+        if "散点" in display_name:
+            icon = "📊"
+        elif "光谱" in display_name or "曲线" in display_name:
+            icon = "📈"
+        elif "箱线" in display_name or "直方" in display_name:
+            icon = "📉"
+        elif "分布" in display_name or "地图" in display_name or "轨迹" in display_name:
+            icon = "🗺️"
         image_item = QTreeWidgetItem(parent_item)
-        image_item.setText(0, f"    🖼 {display_name}")
+        image_item.setText(0, f"  {icon} {display_name}")
         image_item.setData(0, Qt.UserRole, {"type": "image", "path": str(file_path), "display_name": display_name})
         image_item.setToolTip(0, str(file_path))