diff --git a/.gitignore b/.gitignore
index efd4ada1..e8d6e643 100644
--- a/.gitignore
+++ b/.gitignore
@@ -39,3 +39,4 @@
/deformation-C-SAR/tool/
/dem-C-SAR/tool/
/soilMoistureTop/tool/
+/backScattering/dist/
diff --git a/Ortho/Ortho.xml b/Ortho/Ortho.xml
index 0c0d9ae0..b74b5504 100644
--- a/Ortho/Ortho.xml
+++ b/Ortho/Ortho.xml
@@ -45,7 +45,7 @@
File
tar.gz
Cal
- E:\202306hb\sar_img\GF3_KSC_QPSI_036065_E116.2_N43.5_20230616_L1A_AHV_L10006792279.tar.gz
+ E:\202306hb\sar_img\GF3B_SYC_QPSI_008316_E116.1_N43.3_20230622_L1A_AHV_L10000202892.tar.gz
True
False
File
@@ -92,7 +92,7 @@
File
tar.gz
Cal
- D:\micro\WorkSpace\Ortho\Output\GF3_KSC_QPSI_036065_E116.2_N43.5_20230616_L1A_AHV_L10006792279-ortho.tar.gz
+ D:\micro\WorkSpace\Ortho\Output\GF3B_SYC_QPSI_008316_E116.1_N43.3_20230622_L1A_AHV_L10000202892-ortho.tar.gz
DEFAULT
DEFAULT
DEFAULT
diff --git a/backScattering/dist/BackScatteringMain.exe b/backScattering/dist/BackScatteringMain.exe
index af2aa877..a81b3fc5 100644
Binary files a/backScattering/dist/BackScatteringMain.exe and b/backScattering/dist/BackScatteringMain.exe differ
diff --git a/tool/algorithm/algtools/ROIAlg.py b/tool/algorithm/algtools/ROIAlg.py
index 9ee6f706..186fb968 100644
--- a/tool/algorithm/algtools/ROIAlg.py
+++ b/tool/algorithm/algtools/ROIAlg.py
@@ -224,7 +224,7 @@ class ROIAlg:
for i in range(0, im_bands):
tif_array[i, :, :][np.isnan(mask_array)] = background_value
tif_array[i, :, :][mask_array == 0] = background_value
- image_handler.write_img(out_tif_path, proj, geotrans, tif_array, '-9999')
+ image_handler.write_img(out_tif_path, proj, geotrans, tif_array, background_value)
logger.info("cal_roi success, path: %s", out_tif_path)
return True
diff --git a/vegetationPhenology/VegetationPhenology.xml b/vegetationPhenology/VegetationPhenology.xml
index 4cd6c2ad..b87c7cf0 100644
--- a/vegetationPhenology/VegetationPhenology.xml
+++ b/vegetationPhenology/VegetationPhenology.xml
@@ -37,7 +37,7 @@
File
tar.gz
Man
- G:\VegetationPhenology-likun\rusuoces\GF3C_MYC_QPSI_006270_E100.4_N27.0_20230615_L1A_AHV_L10000158764-ortho.tar.gz
+ E:\VegetationPhenology-likun\rusuoces\GF3C_MYC_QPSI_006270_E100.4_N27.0_20230615_L1A_AHV_L10000158764-ortho.tar.gz
DEFAULT
DEFAULT
DEFAULT
@@ -51,7 +51,7 @@
File
csv
Man
- G:\VegetationPhenology-likun\rusuoces\VegetationPhe_samples.csv
+ E:\VegetationPhenology-likun\rusuoces\VegetationPhe_samples.csv
DEFAULT
DEFAULT
DEFAULT
@@ -65,7 +65,7 @@
File
tif
Man
- G:\VegetationPhenology-likun\rusuoces\landcover.tif
+ E:\VegetationPhenology-likun\rusuoces\N47_25_2020LC030\n47_25_2020lc030.tif
True
False
File
@@ -80,7 +80,7 @@
Value
string
Man
- empty
+ 10
True
False
UploadInput
@@ -113,7 +113,7 @@
Value
string
Man
- 0,1,2,7,8,9,10
+ 0,1,2,7,8,9,10,11,12,13
True
True
UploadInput
diff --git a/vegetationPhenology/VegetationPhenologyMain.py b/vegetationPhenology/VegetationPhenologyMain.py
index 76513d0d..8dea872e 100644
--- a/vegetationPhenology/VegetationPhenologyMain.py
+++ b/vegetationPhenology/VegetationPhenologyMain.py
@@ -381,7 +381,7 @@ class PhenologyMain:
feature_dir, train_data_dic = self.create_feature_single_tar(name)
# 生成训练集
- X_train_part, Y_train_part, optimal_feature = ml.gene_optimal_train_set(train_data_dic, feature_dir, 0.07, 0.85)
+ X_train_part, Y_train_part, optimal_feature = ml.gene_optimal_train_set(train_data_dic, feature_dir, 0.08, 0.85)
name_list = ml.get_name_list(feature_dir)
if len(optimal_feature) <= 0:
logger.error('特征筛选结果为空,无可用特征作为训练集')
@@ -527,7 +527,6 @@ class PhenologyMain:
# product_geo_path = self.__product_dic + img_name + '_VegetationPhenologyProduct.tif'
# int_16_array = np.array(array, dtype=np.int16)
-
rows, cols = self.get_name_rows_cols(img_name)
array = np.zeros((rows, cols), dtype='float16')
array[row_list, col_list] = Y_test