添加公式方法

src/gui/panels/step5_clean_panel.py

@@ -76,7 +76,7 @@ class Step5CleanPanel(QWidget):
             "输出处理后CSV:",
             "CSV Files (*.csv);;All Files (*.*)"
         )
-        self.output_file.line_edit.setPlaceholderText("processed_data.csv")
+        self.output_file.line_edit.setPlaceholderText("cleaned_sampling_data.csv")
         layout.addWidget(self.output_file)
 
         # 启用步骤
@@ -127,9 +127,9 @@ class Step5CleanPanel(QWidget):
             self.work_dir = None
 
         if self.work_dir:
-            output_dir = os.path.join(self.work_dir, "4_processed_data")
+            output_dir = os.path.join(self.work_dir, "5_Data_Cleaning")
             os.makedirs(output_dir, exist_ok=True)
-            default_output_path = os.path.join(output_dir, "processed_data.csv").replace('\\', '/')
+            default_output_path = os.path.join(output_dir, "cleaned_sampling_data.csv").replace('\\', '/')
             self.output_file.set_path(default_output_path)
         else:
             self.output_file.set_path("")

src/gui/panels/step6_feature_panel.py

@@ -193,7 +193,7 @@ class Step6FeaturePanel(QWidget):
 
         # 4. 自动填充输出路径（基于工作目录）
         if self.work_dir:
-            output_dir = os.path.join(self.work_dir, "5_training_spectra")
+            output_dir = os.path.join(self.work_dir, "6_Spectral_Feature_Extraction")
             os.makedirs(output_dir, exist_ok=True)
             default_output_path = os.path.join(output_dir, "training_spectra.csv").replace('\\', '/')
             self.output_file.set_path(default_output_path)

src/gui/panels/step7_index_panel.py

@@ -261,7 +261,7 @@ class Step7IndexPanel(QWidget):
 
         work_dir = self._get_work_dir()
         if work_dir:
-            track_a_dir = os.path.join(work_dir, "6_water_quality_indices")
+            track_a_dir = os.path.join(work_dir, "7_Water_Quality_Indices")
             os.makedirs(track_a_dir, exist_ok=True)
             config['output_file'] = os.path.join(track_a_dir, "training_spectra_indices.csv").replace('\\', '/')
 

src/gui/panels/step8_ml_train_panel.py

@@ -271,7 +271,7 @@ class Step8MlTrainPanel(QWidget):
         if not initial_dir or not os.path.isdir(initial_dir):
             # 默认定位到 indices 目录
             work_dir = self._get_default_work_dir()
-            initial_dir = os.path.join(work_dir, "6_water_quality_indices") if work_dir else ""
+            initial_dir = os.path.join(work_dir, "7_Water_Quality_Indices") if work_dir else ""
             if initial_dir and not os.path.isdir(initial_dir):
                 os.makedirs(initial_dir, exist_ok=True)
 
@@ -375,17 +375,17 @@ class Step8MlTrainPanel(QWidget):
                     self.training_csv_file.set_path(step5_csv)
 
         # 2. 自动填充输出文件路径（基于工作目录和输入文件名）
-        # 输入是 training_spectra.csv → 输出 {work_dir}/6_water_quality_indices/training_spectra_indices.csv
+        # 输入是 training_spectra.csv → 输出 {work_dir}/7_Water_Quality_Indices/training_spectra_indices.csv
-        # 输入是 sampling_spectra.csv   → 输出 {work_dir}/6_water_quality_indices/sampling_spectra_indices.csv
+        # 输入是 sampling_spectra.csv   → 输出 {work_dir}/7_Water_Quality_Indices/sampling_spectra_indices.csv
         if self.work_dir:
-            indices_dir = os.path.join(self.work_dir, "6_water_quality_indices")
+            indices_dir = os.path.join(self.work_dir, "7_Water_Quality_Indices")
             os.makedirs(indices_dir, exist_ok=True)
             training_csv = self.training_csv_file.get_path()
             if training_csv:
                 basename = os.path.splitext(os.path.basename(training_csv))[0]
                 output_file = f"{basename}_indices.csv"
             else:
-                output_file = "water_quality_indices.csv"
+                output_file = "training_spectra_indices.csv"
             output_path = os.path.join(indices_dir, output_file).replace('\\', '/')
             self.output_path.set_path(output_path)
         else:

src/gui/water_quality_gui.py

@@ -1369,10 +1369,10 @@ class WaterQualityGUI(QMainWindow):
             'step2': "2_glint/severe_glint_area.dat",
             'step3': "3_deglint/deglint_kutser.bsq",
             'step4_sampling': "4_sampling/sampling_spectra.csv",
-            'step5_clean': "4_processed_data/processed_data.csv",
+            'step5_clean': "5_Data_Cleaning/cleaned_sampling_data.csv",
-            'step6_feature': "5_training_spectra/training_spectra.csv",
+            'step6_feature': "6_Spectral_Feature_Extraction/training_spectra.csv",
-            'step7_index': "6_water_quality_indices/training_spectra_indices.csv",
+            'step7_index': "7_Water_Quality_Indices/training_spectra_indices.csv",
-            'step8_ml_train': "7_Supervised_Model_Training/",
+            'step8_ml_train': "8_Supervised_Model_Training/",
             'step9_ml_predict': "11_12_13_predictions/Machine_Learning_Prediction/",
             'step10_watercolor': "10_WaterIndex_Images/",
             'step11_map': "14_visualization/"
@@ -2381,10 +2381,10 @@ class WaterQualityGUI(QMainWindow):
             '1_water_mask': 'step1',
             '2_glint': 'step2',
             '3_deglint': 'step3',
-            '4_processed_data': 'step4_sampling',
+            '5_Data_Cleaning': 'step5_clean',
-            '5_training_spectra': 'step5_clean',
+            '6_Spectral_Feature_Extraction': 'step6_feature',
-            '6_water_quality_indices': 'step6_feature',
+            '7_Water_Quality_Indices': 'step7_index',
-            '7_Supervised_Model_Training': 'step7_index',
+            '8_Supervised_Model_Training': 'step8_ml_train',
             '8_Regression_Modeling': 'step8_ml_train',
             '9_Custom_Regression_Modeling': 'step9_ml_predict',
             '11_12_13_predictions/Machine_Learning_Prediction': 'step9_ml_predict',