Detailled semantic labeling (2D) result


Name G. Chen and X. Zhang
Affiliation Wuhan University, China
Abbreviation CVEO2
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
0.915
0.025
0.034
0.020
0.002
0.005
building
0.034
0.944
0.013
0.004
0.000
0.005
low_veg
0.040
0.012
0.870
0.072
0.000
0.005
tree
0.030
0.006
0.117
0.843
0.002
0.003
car
0.074
0.013
0.002
0.018
0.880
0.013
clutter
0.381
0.163
0.163
0.025
0.010
0.258
Precision/Correctness
0.877
0.921
0.815
0.858
0.926
0.729
Recall/Completeness
0.915
0.944
0.870
0.843
0.880
0.258
F1
0.895
0.933
0.842
0.851
0.902
0.382

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
0.933
0.020
0.028
0.014
0.000
0.004
building
0.032
0.949
0.011
0.003
0.000
0.005
low_veg
0.031
0.008
0.893
0.064
0.000
0.004
tree
0.021
0.004
0.102
0.869
0.001
0.003
car
0.013
0.013
0.001
0.012
0.947
0.014
clutter
0.396
0.147
0.154
0.020
0.009
0.273
Precision/Correctness
0.894
0.940
0.838
0.885
0.954
0.747
Recall/Completeness
0.933
0.949
0.893
0.869
0.947
0.273
F1
0.913
0.945
0.865
0.877
0.951
0.400

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
0.8949
0.0211
0.0590
0.0165
0.0016
0.0069
building
0.0280
0.9153
0.0424
0.0073
0.0001
0.0070
low_veg
0.0261
0.0079
0.9153
0.0421
0.0002
0.0083
tree
0.0297
0.0084
0.1421
0.8138
0.0009
0.0050
car
0.0866
0.0147
0.0022
0.0151
0.8347
0.0468
clutter
0.1390
0.2222
0.1573
0.0324
0.0087
0.4404
Precision/Correctness
0.903
0.923
0.826
0.909
0.919
0.540
Recall/Completeness
0.895
0.915
0.915
0.814
0.835
0.440
F1
0.899
0.919
0.868
0.859
0.875
0.485

Overall accuracy 0.876

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
0.9185
0.0148
0.0503
0.0111
0.0001
0.0052
building
0.0259
0.9217
0.0396
0.0060
0.0001
0.0067
low_veg
0.0200
0.0039
0.9357
0.0327
0.0001
0.0076
tree
0.0218
0.0069
0.1208
0.8456
0.0006
0.0044
car
0.0291
0.0161
0.0006
0.0069
0.8932
0.0542
clutter
0.1112
0.2185
0.1157
0.0257
0.0096
0.5192
Precision/Correctness
0.926
0.948
0.851
0.933
0.959
0.536
Recall/Completeness
0.919
0.922
0.936
0.846
0.893
0.519
F1
0.922
0.935
0.891
0.887
0.925
0.528

Overall accuracy 0.901

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
0.8871
0.0081
0.0839
0.0148
0.0010
0.0052
building
0.0170
0.9631
0.0113
0.0078
0.0000
0.0008
low_veg
0.0211
0.0053
0.9404
0.0316
0.0000
0.0016
tree
0.0153
0.0032
0.1988
0.7802
0.0005
0.0020
car
0.0745
0.0109
0.0035
0.0182
0.8781
0.0148
clutter
0.1012
0.3183
0.1752
0.0474
0.0081
0.3498
Precision/Correctness
0.894
0.920
0.821
0.945
0.934
0.348
Recall/Completeness
0.887
0.963
0.940
0.780
0.878
0.350
F1
0.891
0.941
0.876
0.855
0.905
0.349

Overall accuracy 0.874

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
0.9143
0.0046
0.0660
0.0100
0.0000
0.0050
building
0.0154
0.9713
0.0074
0.0054
0.0000
0.0006
low_veg
0.0173
0.0034
0.9524
0.0255
0.0000
0.0015
tree
0.0116
0.0025
0.1811
0.8025
0.0003
0.0019
car
0.0193
0.0094
0.0001
0.0120
0.9415
0.0178
clutter
0.0611
0.3565
0.1410
0.0467
0.0063
0.3884
Precision/Correctness
0.915
0.945
0.839
0.958
0.970
0.315
Recall/Completeness
0.914
0.971
0.952
0.803
0.941
0.388
F1
0.915
0.958
0.892
0.874
0.956
0.348

Overall accuracy 0.893

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
0.8961
0.0243
0.0507
0.0218
0.0026
0.0045
building
0.0193
0.9660
0.0088
0.0041
0.0001
0.0018
low_veg
0.0424
0.0226
0.8688
0.0612
0.0001
0.0049
tree
0.0235
0.0072
0.0965
0.8692
0.0016
0.0021
car
0.0699
0.0066
0.0013
0.0231
0.8922
0.0069
clutter
0.2793
0.2069
0.2483
0.0271
0.0101
0.2285
Precision/Correctness
0.890
0.930
0.823
0.903
0.922
0.622
Recall/Completeness
0.896
0.966
0.869
0.869
0.892
0.228
F1
0.893
0.948
0.845
0.886
0.907
0.334

Overall accuracy 0.885

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
0.9241
0.0166
0.0410
0.0144
0.0001
0.0038
building
0.0174
0.9716
0.0066
0.0029
0.0001
0.0015
low_veg
0.0325
0.0120
0.9007
0.0508
0.0000
0.0040
tree
0.0164
0.0057
0.0796
0.8955
0.0011
0.0017
car
0.0108
0.0066
0.0002
0.0152
0.9599
0.0073
clutter
0.2947
0.2054
0.2199
0.0182
0.0117
0.2501
Precision/Correctness
0.916
0.954
0.854
0.928
0.962
0.629
Recall/Completeness
0.924
0.972
0.901
0.896
0.960
0.250
F1
0.920
0.963
0.876
0.912
0.961
0.358

Overall accuracy 0.912

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
0.8741
0.0276
0.0689
0.0240
0.0025
0.0029
building
0.0280
0.9532
0.0116
0.0035
0.0000
0.0036
low_veg
0.0267
0.0131
0.9095
0.0480
0.0000
0.0027
tree
0.0194
0.0034
0.1697
0.8022
0.0010
0.0043
car
0.0665
0.0161
0.0019
0.0354
0.8610
0.0191
clutter
0.2038
0.2284
0.1788
0.0305
0.0051
0.3532
Precision/Correctness
0.879
0.924
0.788
0.911
0.916
0.754
Recall/Completeness
0.874
0.953
0.910
0.802
0.861
0.353
F1
0.876
0.938
0.844
0.853
0.888
0.481

Overall accuracy 0.867

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
0.9040
0.0204
0.0562
0.0170
0.0003
0.0021
building
0.0267
0.9581
0.0092
0.0025
0.0000
0.0034
low_veg
0.0181
0.0076
0.9342
0.0383
0.0000
0.0018
tree
0.0145
0.0025
0.1521
0.8267
0.0008
0.0034
car
0.0106
0.0166
0.0005
0.0242
0.9263
0.0218
clutter
0.1961
0.2212
0.1475
0.0241
0.0062
0.4049
Precision/Correctness
0.904
0.945
0.813
0.935
0.954
0.787
Recall/Completeness
0.904
0.958
0.934
0.827
0.926
0.405
F1
0.904
0.952
0.869
0.877
0.940
0.535

Overall accuracy 0.892

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
0.9285
0.0105
0.0301
0.0281
0.0009
0.0020
building
0.0355
0.9507
0.0059
0.0057
0.0000
0.0022
low_veg
0.0339
0.0087
0.8332
0.1219
0.0001
0.0022
tree
0.0209
0.0024
0.0400
0.9355
0.0006
0.0006
car
0.0726
0.0029
0.0031
0.0311
0.8847
0.0056
clutter
0.4857
0.1449
0.1941
0.0659
0.0143
0.0950
Precision/Correctness
0.839
0.956
0.804
0.783
0.935
0.776
Recall/Completeness
0.928
0.951
0.833
0.935
0.885
0.095
F1
0.882
0.953
0.819
0.852
0.909
0.169

Overall accuracy 0.865

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
0.9473
0.0064
0.0237
0.0208
0.0001
0.0017
building
0.0326
0.9581
0.0029
0.0044
0.0000
0.0020
low_veg
0.0261
0.0036
0.8566
0.1118
0.0000
0.0020
tree
0.0118
0.0011
0.0274
0.9589
0.0003
0.0004
car
0.0076
0.0025
0.0003
0.0201
0.9637
0.0059
clutter
0.5101
0.1309
0.1868
0.0566
0.0157
0.0999
Precision/Correctness
0.858
0.969
0.837
0.818
0.943
0.785
Recall/Completeness
0.947
0.958
0.857
0.959
0.964
0.100
F1
0.900
0.964
0.847
0.883
0.953
0.177

Overall accuracy 0.889

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
0.8974
0.0260
0.0504
0.0189
0.0023
0.0051
building
0.0278
0.9573
0.0041
0.0065
0.0005
0.0038
low_veg
0.0896
0.0310
0.7837
0.0840
0.0002
0.0114
tree
0.0256
0.0110
0.1082
0.8478
0.0017
0.0057
car
0.0723
0.0094
0.0017
0.0271
0.8743
0.0153
clutter
0.5663
0.0593
0.1090
0.0136
0.0014
0.2504
Precision/Correctness
0.720
0.898
0.801
0.854
0.943
0.802
Recall/Completeness
0.897
0.957
0.784
0.848
0.874
0.250
F1
0.799
0.927
0.792
0.851
0.908
0.382

Overall accuracy 0.809

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
0.9154
0.0207
0.0463
0.0133
0.0001
0.0042
building
0.0255
0.9633
0.0024
0.0054
0.0004
0.0031
low_veg
0.0792
0.0258
0.8090
0.0759
0.0000
0.0100
tree
0.0177
0.0098
0.0906
0.8757
0.0012
0.0049
car
0.0205
0.0093
0.0002
0.0192
0.9332
0.0176
clutter
0.5861
0.0537
0.0978
0.0101
0.0009
0.2514
Precision/Correctness
0.729
0.917
0.822
0.879
0.976
0.829
Recall/Completeness
0.915
0.963
0.809
0.876
0.933
0.251
F1
0.811
0.940
0.816
0.877
0.954
0.386

Overall accuracy 0.827

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
0.9029
0.0464
0.0369
0.0086
0.0018
0.0033
building
0.0423
0.9351
0.0107
0.0028
0.0001
0.0091
low_veg
0.0423
0.0244
0.8779
0.0494
0.0004
0.0057
tree
0.0483
0.0074
0.1091
0.8245
0.0042
0.0065
car
0.0776
0.0191
0.0037
0.0089
0.8763
0.0145
clutter
0.3174
0.3073
0.1092
0.0247
0.0073
0.2341
Precision/Correctness
0.892
0.906
0.813
0.892
0.934
0.527
Recall/Completeness
0.903
0.935
0.878
0.824
0.876
0.234
F1
0.898
0.920
0.844
0.857
0.904
0.324

Overall accuracy 0.879

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
0.9202
0.0396
0.0317
0.0056
0.0002
0.0026
building
0.0407
0.9391
0.0088
0.0022
0.0001
0.0091
low_veg
0.0256
0.0159
0.9108
0.0431
0.0000
0.0046
tree
0.0333
0.0054
0.0872
0.8653
0.0027
0.0061
car
0.0101
0.0208
0.0006
0.0043
0.9465
0.0176
clutter
0.3363
0.3068
0.0932
0.0201
0.0054
0.2383
Precision/Correctness
0.914
0.926
0.840
0.917
0.969
0.501
Recall/Completeness
0.920
0.939
0.911
0.865
0.947
0.238
F1
0.917
0.932
0.874
0.890
0.957
0.323

Overall accuracy 0.902

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
0.9180
0.0261
0.0278
0.0225
0.0013
0.0043
building
0.0199
0.9713
0.0032
0.0044
0.0000
0.0013
low_veg
0.0508
0.0163
0.8378
0.0910
0.0000
0.0040
tree
0.0470
0.0049
0.0896
0.8553
0.0019
0.0013
car
0.0938
0.0060
0.0006
0.0105
0.8814
0.0077
clutter
0.2132
0.3372
0.1451
0.0262
0.0508
0.2275
Precision/Correctness
0.909
0.922
0.861
0.795
0.907
0.716
Recall/Completeness
0.918
0.971
0.838
0.855
0.881
0.228
F1
0.914
0.946
0.849
0.824
0.894
0.345

Overall accuracy 0.887

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
0.9369
0.0194
0.0233
0.0167
0.0001
0.0036
building
0.0177
0.9759
0.0019
0.0035
0.0000
0.0011
low_veg
0.0444
0.0109
0.8605
0.0812
0.0000
0.0029
tree
0.0318
0.0033
0.0770
0.8855
0.0015
0.0010
car
0.0146
0.0035
0.0000
0.0073
0.9657
0.0088
clutter
0.1878
0.3337
0.1381
0.0238
0.0635
0.2532
Precision/Correctness
0.932
0.943
0.886
0.824
0.919
0.728
Recall/Completeness
0.937
0.976
0.861
0.885
0.966
0.253
F1
0.935
0.959
0.873
0.854
0.942
0.376

Overall accuracy 0.911

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
0.9337
0.0116
0.0212
0.0302
0.0009
0.0023
building
0.0201
0.9722
0.0051
0.0020
0.0000
0.0006
low_veg
0.0590
0.0077
0.8171
0.1073
0.0002
0.0088
tree
0.0433
0.0056
0.0733
0.8723
0.0028
0.0026
car
0.0979
0.0174
0.0053
0.0166
0.8526
0.0103
clutter
0.3253
0.2449
0.1604
0.0484
0.0045
0.2165
Precision/Correctness
0.831
0.910
0.842
0.815
0.936
0.832
Recall/Completeness
0.934
0.972
0.817
0.872
0.853
0.216
F1
0.879
0.940
0.829
0.843
0.893
0.344

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
0.9520
0.0076
0.0152
0.0232
0.0002
0.0017
building
0.0187
0.9761
0.0033
0.0015
0.0000
0.0005
low_veg
0.0453
0.0039
0.8406
0.1018
0.0000
0.0083
tree
0.0333
0.0045
0.0648
0.8932
0.0020
0.0022
car
0.0190
0.0169
0.0043
0.0094
0.9382
0.0121
clutter
0.3331
0.2193
0.1546
0.0468
0.0042
0.2419
Precision/Correctness
0.855
0.932
0.864
0.838
0.955
0.851
Recall/Completeness
0.952
0.976
0.841
0.893
0.938
0.242
F1
0.901
0.954
0.852
0.865
0.947
0.377

Overall accuracy 0.877

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
0.8938
0.0380
0.0413
0.0229
0.0011
0.0028
building
0.0155
0.9590
0.0128
0.0048
0.0002
0.0076
low_veg
0.0492
0.0106
0.7735
0.1589
0.0001
0.0078
tree
0.0272
0.0069
0.0539
0.9088
0.0017
0.0014
car
0.1041
0.0083
0.0024
0.0161
0.8616
0.0074
clutter
0.5256
0.1971
0.0926
0.0125
0.0093
0.1629
Precision/Correctness
0.869
0.883
0.773
0.754
0.943
0.718
Recall/Completeness
0.894
0.959
0.773
0.909
0.862
0.163
F1
0.881
0.919
0.773
0.824
0.901
0.265

Overall accuracy 0.842

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
0.9086
0.0338
0.0370
0.0178
0.0005
0.0023
building
0.0130
0.9642
0.0116
0.0037
0.0002
0.0073
low_veg
0.0346
0.0065
0.7966
0.1547
0.0000
0.0076
tree
0.0179
0.0047
0.0439
0.9310
0.0013
0.0012
car
0.0235
0.0074
0.0001
0.0132
0.9469
0.0089
clutter
0.5632
0.1645
0.0822
0.0096
0.0097
0.1708
Precision/Correctness
0.885
0.905
0.794
0.781
0.952
0.727
Recall/Completeness
0.909
0.964
0.797
0.931
0.947
0.171
F1
0.897
0.934
0.795
0.850
0.949
0.277

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_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9395
0.0186
0.0189
0.0135
0.0008
0.0088
building
0.0306
0.9429
0.0177
0.0021
0.0001
0.0066
low_veg
0.0151
0.0038
0.9375
0.0430
0.0000
0.0007
tree
0.0650
0.0026
0.0771
0.8525
0.0009
0.0019
car
0.0664
0.0332
0.0001
0.0045
0.8290
0.0668
clutter
0.4753
0.0669
0.1568
0.0295
0.0025
0.2690
Precision/Correctness
0.924
0.958
0.903
0.861
0.957
0.475
Recall/Completeness
0.939
0.943
0.937
0.853
0.829
0.269
F1
0.931
0.950
0.920
0.857
0.888
0.343

Overall accuracy 0.915

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
0.9547
0.0147
0.0147
0.0083
0.0000
0.0076
building
0.0282
0.9489
0.0148
0.0017
0.0001
0.0063
low_veg
0.0090
0.0016
0.9519
0.0371
0.0000
0.0004
tree
0.0462
0.0014
0.0649
0.8854
0.0005
0.0015
car
0.0067
0.0362
0.0000
0.0022
0.8817
0.0732
clutter
0.5039
0.0567
0.1391
0.0264
0.0016
0.2724
Precision/Correctness
0.938
0.969
0.921
0.889
0.987
0.478
Recall/Completeness
0.955
0.949
0.952
0.885
0.882
0.272
F1
0.946
0.959
0.936
0.887
0.931
0.347

Overall accuracy 0.931

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
0.9483
0.0117
0.0229
0.0121
0.0032
0.0018
building
0.0390
0.9503
0.0055
0.0010
0.0002
0.0040
low_veg
0.0363
0.0083
0.8752
0.0771
0.0003
0.0027
tree
0.0367
0.0063
0.0666
0.8857
0.0038
0.0010
car
0.0483
0.0081
0.0017
0.0142
0.9236
0.0041
clutter
0.2449
0.3094
0.2841
0.0198
0.0176
0.1242
Precision/Correctness
0.930
0.954
0.851
0.825
0.932
0.531
Recall/Completeness
0.948
0.950
0.875
0.886
0.924
0.124
F1
0.939
0.952
0.863
0.854
0.928
0.201

Overall accuracy 0.912

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
0.9638
0.0073
0.0185
0.0089
0.0001
0.0014
building
0.0359
0.9557
0.0036
0.0006
0.0001
0.0040
low_veg
0.0239
0.0029
0.9005
0.0704
0.0000
0.0022
tree
0.0256
0.0050
0.0548
0.9109
0.0027
0.0010
car
0.0038
0.0069
0.0002
0.0096
0.9749
0.0046
clutter
0.2337
0.3333
0.2865
0.0161
0.0161
0.1143
Precision/Correctness
0.945
0.965
0.873
0.853
0.973
0.505
Recall/Completeness
0.964
0.956
0.901
0.911
0.975
0.114
F1
0.954
0.960
0.886
0.881
0.974
0.186

Overall accuracy 0.929

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
0.9008
0.0490
0.0279
0.0120
0.0037
0.0067
building
0.0137
0.9303
0.0507
0.0019
0.0003
0.0032
low_veg
0.0607
0.0078
0.8447
0.0746
0.0010
0.0112
tree
0.0328
0.0069
0.1102
0.8446
0.0037
0.0018
car
0.0561
0.0152
0.0035
0.0171
0.9056
0.0025
clutter
0.2754
0.1404
0.1547
0.0074
0.0082
0.4139
Precision/Correctness
0.906
0.879
0.720
0.885
0.912
0.824
Recall/Completeness
0.901
0.930
0.845
0.845
0.906
0.414
F1
0.903
0.904
0.777
0.865
0.909
0.551

Overall accuracy 0.862

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
0.9178
0.0463
0.0220
0.0080
0.0001
0.0057
building
0.0114
0.9343
0.0499
0.0012
0.0002
0.0030
low_veg
0.0478
0.0051
0.8716
0.0654
0.0001
0.0099
tree
0.0241
0.0048
0.0948
0.8723
0.0029
0.0013
car
0.0075
0.0151
0.0003
0.0121
0.9623
0.0028
clutter
0.2755
0.1415
0.1487
0.0053
0.0074
0.4216
Precision/Correctness
0.921
0.891
0.735
0.912
0.960
0.846
Recall/Completeness
0.918
0.934
0.872
0.872
0.962
0.422
F1
0.919
0.912
0.798
0.892
0.961
0.563

Overall accuracy 0.880

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
0.9365
0.0202
0.0075
0.0284
0.0013
0.0062
building
0.1283
0.8482
0.0048
0.0019
0.0021
0.0147
low_veg
0.0458
0.0110
0.7590
0.1818
0.0002
0.0023
tree
0.0190
0.0052
0.0883
0.8849
0.0006
0.0020
car
0.0497
0.0283
0.0004
0.0306
0.8870
0.0040
clutter
0.3440
0.0353
0.2293
0.0028
0.0070
0.3815
Precision/Correctness
0.875
0.926
0.703
0.672
0.869
0.836
Recall/Completeness
0.936
0.848
0.759
0.885
0.887
0.382
F1
0.905
0.886
0.730
0.764
0.878
0.524

Overall accuracy 0.844

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
0.9513
0.0160
0.0055
0.0210
0.0003
0.0059
building
0.1289
0.8495
0.0041
0.0012
0.0019
0.0145
low_veg
0.0352
0.0069
0.7823
0.1737
0.0000
0.0018
tree
0.0117
0.0034
0.0816
0.9008
0.0003
0.0021
car
0.0050
0.0315
0.0000
0.0217
0.9379
0.0039
clutter
0.3390
0.0326
0.2320
0.0024
0.0064
0.3876
Precision/Correctness
0.880
0.941
0.708
0.703
0.893
0.843
Recall/Completeness
0.951
0.849
0.782
0.901
0.938
0.388
F1
0.914
0.893
0.743
0.789
0.915
0.531

Overall accuracy 0.856

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image