Detailled semantic labeling (2D) result


Name G. Chen and X. Zhang
Affiliation Wuhan University, China
Abbreviation CVEO
Strategy (u)nsupervised, (s)upervised, (h)ybrid s


Overall statistics, reference set: full_reference


Number of non processed tiles by this participant: 0
↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.921
0.028
0.032
0.012
0.001
0.006
building
0.031
0.953
0.010
0.003
0.000
0.004
low_veg
0.048
0.016
0.871
0.060
0.000
0.005
tree
0.047
0.008
0.126
0.814
0.002
0.002
car
0.085
0.014
0.002
0.011
0.879
0.010
clutter
0.367
0.169
0.177
0.022
0.008
0.257
Precision/Correctness
0.868
0.914
0.813
0.884
0.929
0.733
Recall/Completeness
0.921
0.953
0.871
0.814
0.879
0.257
F1
0.894
0.933
0.841
0.848
0.903
0.380

Overall accuracy 0.869

Overall statistics, reference set: no_boundary


Number of non processed tiles by this participant: 0
↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.937
0.023
0.026
0.008
0.000
0.005
building
0.028
0.958
0.008
0.002
0.000
0.003
low_veg
0.037
0.011
0.895
0.052
0.000
0.005
tree
0.036
0.006
0.111
0.844
0.002
0.002
car
0.012
0.015
0.000
0.007
0.954
0.011
clutter
0.376
0.153
0.170
0.018
0.008
0.275
Precision/Correctness
0.888
0.932
0.835
0.907
0.953
0.749
Recall/Completeness
0.937
0.958
0.895
0.844
0.954
0.275
F1
0.912
0.945
0.864
0.874
0.954
0.402

Overall accuracy 0.890
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8789
0.0417
0.0501
0.0103
0.0016
0.0174
building
0.0310
0.9295
0.0276
0.0047
0.0001
0.0070
low_veg
0.0301
0.0159
0.9015
0.0384
0.0002
0.0140
tree
0.0419
0.0142
0.1387
0.8004
0.0013
0.0034
car
0.0802
0.0264
0.0017
0.0067
0.8452
0.0399
clutter
0.1332
0.3128
0.1506
0.0285
0.0123
0.3627
Precision/Correctness
0.885
0.874
0.839
0.922
0.906
0.387
Recall/Completeness
0.879
0.930
0.901
0.800
0.845
0.363
F1
0.882
0.901
0.869
0.857
0.875
0.374

Overall accuracy 0.866

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_2_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8999
0.0347
0.0415
0.0068
0.0002
0.0168
building
0.0292
0.9351
0.0252
0.0038
0.0001
0.0066
low_veg
0.0235
0.0112
0.9227
0.0290
0.0001
0.0135
tree
0.0326
0.0121
0.1188
0.8327
0.0009
0.0030
car
0.0184
0.0312
0.0003
0.0026
0.9009
0.0465
clutter
0.1083
0.3124
0.1155
0.0222
0.0132
0.4283
Precision/Correctness
0.909
0.902
0.863
0.944
0.944
0.365
Recall/Completeness
0.900
0.935
0.923
0.833
0.901
0.428
F1
0.905
0.918
0.892
0.885
0.922
0.394

Overall accuracy 0.891

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_2_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8841
0.0191
0.0794
0.0083
0.0010
0.0081
building
0.0036
0.9828
0.0087
0.0047
0.0000
0.0001
low_veg
0.0132
0.0045
0.9517
0.0297
0.0000
0.0007
tree
0.0216
0.0049
0.1878
0.7843
0.0008
0.0006
car
0.0681
0.0180
0.0019
0.0091
0.8934
0.0095
clutter
0.0914
0.4216
0.1593
0.0521
0.0204
0.2551
Precision/Correctness
0.906
0.892
0.831
0.952
0.912
0.334
Recall/Completeness
0.884
0.983
0.952
0.784
0.893
0.255
F1
0.895
0.935
0.887
0.860
0.903
0.289

Overall accuracy 0.881

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_2_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9111
0.0158
0.0601
0.0049
0.0001
0.0080
building
0.0022
0.9896
0.0051
0.0030
0.0000
0.0001
low_veg
0.0094
0.0023
0.9642
0.0236
0.0000
0.0005
tree
0.0173
0.0039
0.1699
0.8078
0.0006
0.0005
car
0.0043
0.0198
0.0000
0.0064
0.9593
0.0102
clutter
0.0571
0.4891
0.1158
0.0589
0.0185
0.2605
Precision/Correctness
0.928
0.919
0.850
0.964
0.945
0.291
Recall/Completeness
0.911
0.990
0.964
0.808
0.959
0.261
F1
0.920
0.953
0.903
0.879
0.952
0.275

Overall accuracy 0.900

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_3_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9008
0.0311
0.0398
0.0145
0.0022
0.0116
building
0.0172
0.9736
0.0052
0.0023
0.0000
0.0017
low_veg
0.0594
0.0275
0.8542
0.0546
0.0001
0.0042
tree
0.0336
0.0102
0.0975
0.8548
0.0023
0.0016
car
0.0776
0.0046
0.0008
0.0163
0.8893
0.0114
clutter
0.2733
0.2262
0.2581
0.0288
0.0025
0.2112
Precision/Correctness
0.871
0.916
0.832
0.917
0.930
0.508
Recall/Completeness
0.901
0.974
0.854
0.855
0.889
0.211
F1
0.886
0.944
0.843
0.885
0.909
0.298

Overall accuracy 0.881

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_3_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9253
0.0233
0.0311
0.0089
0.0001
0.0113
building
0.0150
0.9790
0.0031
0.0014
0.0000
0.0014
low_veg
0.0485
0.0170
0.8869
0.0443
0.0000
0.0032
tree
0.0244
0.0082
0.0811
0.8834
0.0017
0.0013
car
0.0104
0.0048
0.0000
0.0112
0.9615
0.0121
clutter
0.2822
0.2218
0.2371
0.0225
0.0023
0.2340
Precision/Correctness
0.899
0.942
0.862
0.941
0.966
0.496
Recall/Completeness
0.925
0.979
0.887
0.883
0.962
0.234
F1
0.912
0.960
0.874
0.911
0.964
0.318

Overall accuracy 0.908

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_3_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8593
0.0485
0.0670
0.0155
0.0022
0.0074
building
0.0176
0.9725
0.0059
0.0025
0.0000
0.0014
low_veg
0.0258
0.0186
0.9121
0.0412
0.0000
0.0023
tree
0.0280
0.0087
0.2037
0.7548
0.0015
0.0032
car
0.0737
0.0233
0.0009
0.0225
0.8693
0.0102
clutter
0.2029
0.2593
0.1861
0.0320
0.0009
0.3188
Precision/Correctness
0.878
0.893
0.771
0.923
0.922
0.737
Recall/Completeness
0.859
0.972
0.912
0.755
0.869
0.319
F1
0.869
0.931
0.835
0.831
0.895
0.445

Overall accuracy 0.855

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_3_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8866
0.0418
0.0542
0.0102
0.0001
0.0071
building
0.0162
0.9770
0.0038
0.0017
0.0000
0.0013
low_veg
0.0173
0.0123
0.9367
0.0320
0.0000
0.0016
tree
0.0221
0.0074
0.1873
0.7796
0.0012
0.0024
car
0.0119
0.0248
0.0001
0.0149
0.9372
0.0111
clutter
0.1930
0.2557
0.1569
0.0264
0.0007
0.3672
Precision/Correctness
0.905
0.916
0.793
0.945
0.960
0.761
Recall/Completeness
0.887
0.977
0.937
0.780
0.937
0.367
F1
0.896
0.945
0.859
0.854
0.949
0.495

Overall accuracy 0.880

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_4_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9358
0.0173
0.0279
0.0169
0.0007
0.0015
building
0.0235
0.9648
0.0061
0.0033
0.0001
0.0022
low_veg
0.0519
0.0150
0.8212
0.1091
0.0001
0.0027
tree
0.0403
0.0026
0.0461
0.9085
0.0019
0.0005
car
0.0884
0.0026
0.0019
0.0154
0.8885
0.0032
clutter
0.5446
0.1446
0.1306
0.0526
0.0099
0.1177
Precision/Correctness
0.827
0.948
0.825
0.818
0.944
0.821
Recall/Completeness
0.936
0.965
0.821
0.908
0.888
0.118
F1
0.878
0.956
0.823
0.861
0.915
0.206

Overall accuracy 0.869

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_4_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9509
0.0137
0.0222
0.0117
0.0001
0.0013
building
0.0195
0.9736
0.0027
0.0022
0.0001
0.0020
low_veg
0.0417
0.0104
0.8460
0.0995
0.0000
0.0024
tree
0.0256
0.0012
0.0342
0.9375
0.0012
0.0003
car
0.0074
0.0020
0.0001
0.0088
0.9785
0.0032
clutter
0.5705
0.1333
0.1144
0.0438
0.0107
0.1272
Precision/Correctness
0.851
0.961
0.860
0.850
0.953
0.838
Recall/Completeness
0.951
0.974
0.846
0.938
0.978
0.127
F1
0.898
0.967
0.853
0.892
0.965
0.221

Overall accuracy 0.893

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_4_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8881
0.0359
0.0571
0.0101
0.0019
0.0070
building
0.0192
0.9703
0.0029
0.0048
0.0004
0.0024
low_veg
0.0939
0.0373
0.7878
0.0730
0.0002
0.0079
tree
0.0422
0.0100
0.1152
0.8251
0.0027
0.0049
car
0.0818
0.0141
0.0013
0.0144
0.8749
0.0135
clutter
0.5029
0.0708
0.1743
0.0121
0.0014
0.2384
Precision/Correctness
0.727
0.879
0.770
0.877
0.941
0.817
Recall/Completeness
0.888
0.970
0.788
0.825
0.875
0.238
F1
0.799
0.922
0.779
0.850
0.907
0.369

Overall accuracy 0.805

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_4_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9026
0.0311
0.0532
0.0066
0.0001
0.0064
building
0.0168
0.9758
0.0012
0.0038
0.0003
0.0021
low_veg
0.0830
0.0322
0.8118
0.0657
0.0000
0.0073
tree
0.0319
0.0081
0.0977
0.8559
0.0020
0.0044
car
0.0217
0.0142
0.0000
0.0105
0.9381
0.0155
clutter
0.5178
0.0651
0.1650
0.0090
0.0011
0.2420
Precision/Correctness
0.738
0.898
0.789
0.899
0.967
0.835
Recall/Completeness
0.903
0.976
0.812
0.856
0.938
0.242
F1
0.812
0.935
0.800
0.877
0.952
0.375

Overall accuracy 0.823

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_4_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9013
0.0477
0.0410
0.0042
0.0014
0.0043
building
0.0430
0.9403
0.0097
0.0027
0.0000
0.0043
low_veg
0.0501
0.0269
0.8807
0.0383
0.0004
0.0036
tree
0.0806
0.0081
0.1237
0.7773
0.0071
0.0032
car
0.0872
0.0239
0.0024
0.0040
0.8703
0.0123
clutter
0.3184
0.3242
0.1164
0.0190
0.0070
0.2150
Precision/Correctness
0.877
0.902
0.799
0.916
0.925
0.602
Recall/Completeness
0.901
0.940
0.881
0.777
0.870
0.215
F1
0.889
0.921
0.838
0.841
0.897
0.317

Overall accuracy 0.873

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_4_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9159
0.0413
0.0365
0.0025
0.0001
0.0037
building
0.0410
0.9450
0.0077
0.0021
0.0000
0.0042
low_veg
0.0315
0.0193
0.9134
0.0330
0.0000
0.0028
tree
0.0628
0.0059
0.1014
0.8219
0.0054
0.0026
car
0.0115
0.0271
0.0001
0.0021
0.9450
0.0142
clutter
0.3331
0.3280
0.1019
0.0162
0.0052
0.2156
Precision/Correctness
0.901
0.921
0.825
0.936
0.954
0.585
Recall/Completeness
0.916
0.945
0.913
0.822
0.945
0.216
F1
0.908
0.933
0.867
0.875
0.950
0.315

Overall accuracy 0.897

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_5_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9341
0.0229
0.0223
0.0152
0.0010
0.0046
building
0.0177
0.9742
0.0032
0.0036
0.0001
0.0013
low_veg
0.0771
0.0176
0.8252
0.0761
0.0000
0.0039
tree
0.0720
0.0070
0.1035
0.8139
0.0024
0.0012
car
0.1034
0.0026
0.0004
0.0060
0.8724
0.0152
clutter
0.2464
0.3443
0.1440
0.0217
0.0331
0.2104
Precision/Correctness
0.888
0.924
0.860
0.824
0.928
0.680
Recall/Completeness
0.934
0.974
0.825
0.814
0.872
0.210
F1
0.910
0.948
0.842
0.819
0.899
0.321

Overall accuracy 0.885

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_5_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9496
0.0168
0.0186
0.0110
0.0001
0.0039
building
0.0147
0.9795
0.0019
0.0028
0.0001
0.0011
low_veg
0.0695
0.0121
0.8479
0.0674
0.0000
0.0031
tree
0.0527
0.0050
0.0914
0.8482
0.0018
0.0010
car
0.0135
0.0028
0.0000
0.0042
0.9629
0.0167
clutter
0.2156
0.3515
0.1402
0.0203
0.0396
0.2328
Precision/Correctness
0.914
0.944
0.884
0.852
0.942
0.685
Recall/Completeness
0.950
0.980
0.848
0.848
0.963
0.233
F1
0.931
0.961
0.865
0.850
0.952
0.348

Overall accuracy 0.909

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_5_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9433
0.0124
0.0224
0.0183
0.0008
0.0027
building
0.0209
0.9710
0.0049
0.0015
0.0000
0.0016
low_veg
0.0718
0.0125
0.8266
0.0807
0.0002
0.0082
tree
0.0654
0.0064
0.0882
0.8335
0.0038
0.0026
car
0.1165
0.0168
0.0027
0.0112
0.8487
0.0041
clutter
0.2992
0.2413
0.1644
0.0419
0.0093
0.2439
Precision/Correctness
0.819
0.906
0.830
0.852
0.911
0.842
Recall/Completeness
0.943
0.971
0.827
0.834
0.849
0.244
F1
0.877
0.937
0.828
0.843
0.879
0.378

Overall accuracy 0.853

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_5_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9587
0.0088
0.0160
0.0139
0.0003
0.0023
building
0.0190
0.9755
0.0030
0.0010
0.0000
0.0015
low_veg
0.0578
0.0090
0.8494
0.0757
0.0000
0.0080
tree
0.0526
0.0052
0.0789
0.8582
0.0028
0.0022
car
0.0269
0.0172
0.0001
0.0074
0.9435
0.0050
clutter
0.2959
0.2184
0.1594
0.0405
0.0097
0.2763
Precision/Correctness
0.846
0.927
0.853
0.873
0.924
0.857
Recall/Completeness
0.959
0.976
0.849
0.858
0.943
0.276
F1
0.899
0.951
0.851
0.866
0.934
0.418

Overall accuracy 0.876

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_5_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9052
0.0381
0.0377
0.0160
0.0009
0.0021
building
0.0331
0.9422
0.0102
0.0042
0.0002
0.0101
low_veg
0.0517
0.0144
0.7896
0.1370
0.0001
0.0072
tree
0.0484
0.0073
0.0662
0.8751
0.0024
0.0006
car
0.1127
0.0143
0.0021
0.0107
0.8493
0.0109
clutter
0.4518
0.1781
0.1024
0.0138
0.0059
0.2480
Precision/Correctness
0.866
0.883
0.777
0.782
0.953
0.787
Recall/Completeness
0.905
0.942
0.790
0.875
0.849
0.248
F1
0.885
0.911
0.783
0.826
0.898
0.377

Overall accuracy 0.847

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_5_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9175
0.0345
0.0337
0.0122
0.0005
0.0017
building
0.0291
0.9489
0.0087
0.0032
0.0001
0.0100
low_veg
0.0365
0.0111
0.8129
0.1328
0.0000
0.0067
tree
0.0356
0.0053
0.0563
0.9005
0.0018
0.0005
car
0.0149
0.0157
0.0001
0.0089
0.9476
0.0129
clutter
0.4737
0.1458
0.0914
0.0111
0.0059
0.2721
Precision/Correctness
0.885
0.904
0.798
0.808
0.961
0.797
Recall/Completeness
0.917
0.949
0.813
0.900
0.948
0.272
F1
0.901
0.926
0.805
0.852
0.954
0.406

Overall accuracy 0.868

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_6_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9496
0.0215
0.0144
0.0079
0.0007
0.0058
building
0.0380
0.9392
0.0164
0.0016
0.0001
0.0047
low_veg
0.0232
0.0062
0.9380
0.0316
0.0000
0.0010
tree
0.1054
0.0061
0.0868
0.7994
0.0015
0.0007
car
0.0795
0.0231
0.0000
0.0023
0.8778
0.0173
clutter
0.4098
0.0909
0.2522
0.0295
0.0013
0.2163
Precision/Correctness
0.907
0.948
0.899
0.892
0.954
0.536
Recall/Completeness
0.950
0.939
0.938
0.799
0.878
0.216
F1
0.928
0.944
0.918
0.843
0.914
0.308

Overall accuracy 0.911

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_6_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9605
0.0185
0.0111
0.0048
0.0002
0.0049
building
0.0343
0.9464
0.0137
0.0012
0.0002
0.0042
low_veg
0.0155
0.0039
0.9536
0.0264
0.0000
0.0006
tree
0.0805
0.0045
0.0744
0.8389
0.0012
0.0005
car
0.0068
0.0281
0.0000
0.0011
0.9447
0.0192
clutter
0.4246
0.0815
0.2538
0.0279
0.0006
0.2116
Precision/Correctness
0.925
0.958
0.915
0.916
0.975
0.539
Recall/Completeness
0.961
0.946
0.954
0.839
0.945
0.212
F1
0.943
0.952
0.934
0.876
0.960
0.304

Overall accuracy 0.928

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_6_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9625
0.0113
0.0155
0.0065
0.0025
0.0017
building
0.0541
0.9391
0.0048
0.0008
0.0001
0.0010
low_veg
0.0644
0.0093
0.8704
0.0533
0.0003
0.0023
tree
0.0675
0.0081
0.0893
0.8289
0.0051
0.0010
car
0.0625
0.0066
0.0010
0.0093
0.9160
0.0045
clutter
0.2880
0.3088
0.2591
0.0171
0.0141
0.1128
Precision/Correctness
0.901
0.953
0.859
0.870
0.939
0.625
Recall/Completeness
0.963
0.939
0.870
0.829
0.916
0.113
F1
0.931
0.946
0.865
0.849
0.927
0.191

Overall accuracy 0.907

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_6_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9742
0.0078
0.0119
0.0045
0.0001
0.0015
building
0.0500
0.9457
0.0029
0.0005
0.0000
0.0009
low_veg
0.0493
0.0048
0.8964
0.0474
0.0000
0.0020
tree
0.0524
0.0067
0.0760
0.8601
0.0038
0.0010
car
0.0066
0.0063
0.0002
0.0064
0.9752
0.0053
clutter
0.2702
0.3343
0.2618
0.0140
0.0126
0.1072
Precision/Correctness
0.919
0.963
0.880
0.896
0.973
0.616
Recall/Completeness
0.974
0.946
0.896
0.860
0.975
0.107
F1
0.946
0.954
0.888
0.878
0.974
0.183

Overall accuracy 0.925

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_6_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9134
0.0392
0.0292
0.0067
0.0028
0.0087
building
0.0155
0.9454
0.0352
0.0019
0.0000
0.0019
low_veg
0.0579
0.0113
0.8660
0.0524
0.0007
0.0117
tree
0.0522
0.0068
0.1345
0.8004
0.0048
0.0014
car
0.0708
0.0112
0.0037
0.0105
0.9006
0.0032
clutter
0.2306
0.1427
0.2442
0.0103
0.0057
0.3665
Precision/Correctness
0.905
0.892
0.701
0.914
0.924
0.792
Recall/Completeness
0.913
0.945
0.866
0.800
0.901
0.367
F1
0.909
0.918
0.775
0.854
0.912
0.501

Overall accuracy 0.863

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_6_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9284
0.0364
0.0230
0.0042
0.0001
0.0080
building
0.0127
0.9508
0.0336
0.0013
0.0000
0.0015
low_veg
0.0446
0.0090
0.8911
0.0441
0.0001
0.0111
tree
0.0410
0.0048
0.1176
0.8318
0.0037
0.0010
car
0.0093
0.0113
0.0002
0.0079
0.9675
0.0037
clutter
0.2282
0.1431
0.2402
0.0081
0.0053
0.3750
Precision/Correctness
0.923
0.903
0.716
0.937
0.962
0.811
Recall/Completeness
0.928
0.951
0.891
0.832
0.968
0.375
F1
0.925
0.927
0.794
0.881
0.965
0.513

Overall accuracy 0.882

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_7_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9519
0.0164
0.0075
0.0186
0.0011
0.0045
building
0.0770
0.9059
0.0038
0.0010
0.0010
0.0113
low_veg
0.0626
0.0091
0.7791
0.1457
0.0001
0.0035
tree
0.0421
0.0059
0.0968
0.8539
0.0011
0.0003
car
0.0642
0.0290
0.0004
0.0167
0.8879
0.0017
clutter
0.3749
0.0288
0.2132
0.0022
0.0103
0.3706
Precision/Correctness
0.885
0.942
0.715
0.730
0.872
0.866
Recall/Completeness
0.952
0.906
0.779
0.854
0.888
0.371
F1
0.917
0.924
0.746
0.787
0.880
0.519

Overall accuracy 0.863

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


=============================================================

Tile top_potsdam_7_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9646
0.0125
0.0055
0.0128
0.0003
0.0043
building
0.0758
0.9089
0.0030
0.0006
0.0008
0.0110
low_veg
0.0498
0.0054
0.8041
0.1374
0.0000
0.0033
tree
0.0288
0.0035
0.0898
0.8770
0.0007
0.0002
car
0.0055
0.0348
0.0000
0.0109
0.9467
0.0020
clutter
0.3707
0.0263
0.2148
0.0018
0.0098
0.3767
Precision/Correctness
0.892
0.955
0.722
0.762
0.889
0.874
Recall/Completeness
0.965
0.909
0.804
0.877
0.947
0.377
F1
0.927
0.931
0.761
0.816
0.917
0.526

Overall accuracy 0.876

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image