实例介绍
遥感影像场景变化检测经典算法(IR-MAD、MAD、CVA、PCA)算法集锦,包含其算法Code 和 Demo,另外,含有算法的评价函数OA、Kappa、AUC、ROC曲线,分享学习,批评指教。
【实例截图】
【核心代码】
ChangeDetectionCode
└── Change Detection Code
├── covw.m
├── createfigure.m
├── CVADemo.m
├── DAcom.m
├── data
│ ├── major-TestROI.roi
│ └── Taizhou
│ ├── 2000TM
│ ├── 2000TM.HDR
│ ├── 2003TM
│ ├── 2003TM.HDR
│ ├── major-TestROI.roi
│ ├── TaizhouChange
│ ├── TaizhouChange_blackWhite.bmp
│ ├── TaizhouChange_blackWhite.bpw
│ ├── TaizhouChange_blackWhite_unchange.bmp
│ ├── TaizhouChange_blackWhite_unchange.bpw
│ ├── TaizhouChange.hdr
│ ├── TaizhouChange_overall
│ └── TaizhouChange_overall.hdr
├── eigen2.m
├── enviwrite2.m
├── enviwrite.m
├── freadenvi.m
├── IRMAD_Update.asv
├── IRMAD_Update.m
├── KmeansMap.m
├── MADGet.m
├── PCADemo.m
├── PCA.m
└── Test result
├── All Bands CCA EigValues Tendency 10 Iterations_Taizhou.bmp
├── All Bands CCA EigValues Tendency 10 Iterations_Taizhou.fig
├── All Bands CCA EigValues Tendency 30 Iterations_Taizhou.bmp
├── All Bands CCA EigValues Tendency 30 Iterations_Taizhou.fig
├── All Bands CCA EigValues Tendency 50 Iterations_Taizhou.bmp
├── All Bands CCA EigValues Tendency 50 Iterations_Taizhou.fig
├── All Bands CCA EigValues Tendency 70 Iterations_Nanjing.bmp
├── All Bands CCA EigValues Tendency 70 Iterations_Nanjing.fig
├── All Bands CCA EigValues Tendency 90 Iterations_Nanjing.bmp
├── All Bands CCA EigValues Tendency 90 Iterations_Nanjing.fig
├── NanjingChange_110_iterations_ChangeInageWeight_first.tif
├── NanjingChange_110_iterations_ChangeInageWeight_last.tif
├── NanjingChange_110_iterations_ChangeInageWeight_original.tif
├── NanjingChange_50_iterations_ChangeInageWeight_first.tif
├── NanjingChange_50_iterations_ChangeInageWeight_last.tif
├── NanjingChange_50_iterations_ChangeInageWeight_original.tif
├── NanjingChange_70_iterations_ChangeInageWeight_first.tif
├── NanjingChange_70_iterations_ChangeInageWeight_last.tif
├── NanjingChange_70_iterations_ChangeInageWeight_original.tif
├── NanjingChange_90_iterations_ChangeInageWeight_first.tif
├── NanjingChange_90_iterations_ChangeInageWeight_last.tif
├── NanjingChange_90_iterations_ChangeInageWeight_original.tif
├── Nanjing_Kmeans_test_TwoValue DifferImage.bmp
├── Nanjing_Kmeans TwoValue DifferImage.bmp
├── TaihzoutestChang_MAD_Intensity_Image.bmp
├── TaizhouChange_10_iterations_ChangeInageWeight_first.tif
├── TaizhouChange_10_iterations_ChangeInageWeight_last.tif
├── TaizhouChange_10_iterations_ChangeInageWeight_original.tif
├── TaizhouChange_30_iterations_ChangeInageWeight_first.tif
├── TaizhouChange_30_iterations_ChangeInageWeight_last.tif
├── TaizhouChange_30_iterations_ChangeInageWeight_original.tif
├── TaizhouChange_50_iterations_band1.bmp
├── TaizhouChange_50_iterations_band2.bmp
├── TaizhouChange_50_iterations_band3.bmp
├── TaizhouChange_50_iterations_band4.bmp
├── TaizhouChange_50_iterations_band5.bmp
├── TaizhouChange_50_iterations_band6.bmp
├── TaizhouChange_50_iterations_ChangeInage_weight_first.bmp
├── TaizhouChange_50_iterations_ChangeInageWeight_first.tif
├── TaizhouChange_50_iterations_ChangeInage_weight_last.bmp
├── TaizhouChange_50_iterations_ChangeInageWeight_last.tif
├── TaizhouChange_50_iterations_ChangeInage_weight_original.bmp
├── TaizhouChange_50_iterations_ChangeInageWeight_original.tif
├── TaizhouChange_50_iterations_ROC.bmp
├── TaizhouChange_50_iterations_ROC.fig
├── TaizhouChange_70_iterations_ChangeInageWeight_first.tif
├── TaizhouChange_70_iterations_ChangeInageWeight_last.tif
├── TaizhouChange_70_iterations_ChangeInageWeight_original.tif
├── TaizhouChange_Intensity_Image.bmp
├── TaizhouChange_MAD_ChangeInage_weight_last.bmp
├── TaizhouChange_MAD_ROC_001.bmp
├── TaizhouChange_MAD_ROC_001.fig
├── TaizhouChange_MAD_ROC_002.bmp
├── TaizhouChange_MAD_ROC_002.fig
├── TaizhouChange_MAD_ROC.bmp
├── TaizhouChange_MAD_ROC.fig
├── Taizhou_Kmeans_MAD_TwoValue DifferImage.bmp
├── Taizhou_Kmeans_test_TwoValue DifferImage.bmp
└── Taizhou_Kmeans TwoValue DifferImage.bmp
4 directories, 87 files
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