Detailled semantic labeling (2D) result


Name B. Yu et al.
Affiliation Chinese Academy of Sciences, China
Abbreviation CAS_Y3
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
0.907
0.028
0.035
0.018
0.003
0.009
building
0.016
0.965
0.010
0.004
0.000
0.005
low_veg
0.041
0.012
0.873
0.065
0.000
0.009
tree
0.034
0.006
0.122
0.833
0.002
0.003
car
0.071
0.006
0.003
0.017
0.893
0.010
clutter
0.296
0.139
0.125
0.031
0.010
0.398
Precision/Correctness
0.895
0.925
0.820
0.867
0.911
0.735
Recall/Completeness
0.907
0.965
0.873
0.833
0.893
0.398
F1
0.901
0.944
0.846
0.849
0.902
0.516

Overall accuracy 0.878

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
0.927
0.024
0.028
0.013
0.000
0.008
building
0.013
0.973
0.008
0.003
0.000
0.004
low_veg
0.030
0.007
0.899
0.056
0.000
0.009
tree
0.025
0.005
0.106
0.860
0.002
0.003
car
0.010
0.006
0.001
0.011
0.962
0.010
clutter
0.297
0.125
0.106
0.027
0.010
0.436
Precision/Correctness
0.917
0.941
0.847
0.894
0.950
0.758
Recall/Completeness
0.927
0.973
0.899
0.860
0.962
0.436
F1
0.922
0.957
0.872
0.876
0.956
0.553

Overall accuracy 0.901
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8641
0.0661
0.0485
0.0116
0.0022
0.0075
building
0.0098
0.9570
0.0218
0.0083
0.0003
0.0028
low_veg
0.0320
0.0107
0.8960
0.0450
0.0002
0.0162
tree
0.0386
0.0131
0.1233
0.8193
0.0013
0.0043
car
0.0835
0.0217
0.0034
0.0068
0.8771
0.0075
clutter
0.1433
0.3241
0.1312
0.0370
0.0104
0.3540
Precision/Correctness
0.898
0.859
0.852
0.910
0.898
0.449
Recall/Completeness
0.864
0.957
0.896
0.819
0.877
0.354
F1
0.881
0.905
0.873
0.862
0.887
0.396

Overall accuracy 0.871

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
0.8853
0.0608
0.0405
0.0071
0.0003
0.0060
building
0.0066
0.9647
0.0187
0.0073
0.0003
0.0024
low_veg
0.0238
0.0060
0.9201
0.0345
0.0001
0.0156
tree
0.0295
0.0109
0.1015
0.8533
0.0009
0.0039
car
0.0204
0.0248
0.0014
0.0016
0.9439
0.0079
clutter
0.1129
0.3334
0.0888
0.0291
0.0133
0.4226
Precision/Correctness
0.927
0.884
0.879
0.934
0.941
0.442
Recall/Completeness
0.885
0.965
0.920
0.853
0.944
0.423
F1
0.906
0.923
0.899
0.892
0.943
0.432

Overall accuracy 0.898

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
0.8640
0.0410
0.0810
0.0103
0.0018
0.0020
building
0.0043
0.9790
0.0097
0.0052
0.0000
0.0017
low_veg
0.0125
0.0056
0.9427
0.0384
0.0001
0.0008
tree
0.0188
0.0039
0.1786
0.7974
0.0007
0.0006
car
0.0609
0.0177
0.0020
0.0168
0.9023
0.0003
clutter
0.0813
0.3676
0.1896
0.0694
0.0263
0.2658
Precision/Correctness
0.912
0.855
0.834
0.940
0.892
0.490
Recall/Completeness
0.864
0.979
0.943
0.797
0.902
0.266
F1
0.888
0.913
0.885
0.863
0.897
0.345

Overall accuracy 0.879

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
0.8941
0.0385
0.0597
0.0058
0.0003
0.0017
building
0.0027
0.9871
0.0056
0.0030
0.0000
0.0015
low_veg
0.0083
0.0032
0.9571
0.0309
0.0000
0.0006
tree
0.0147
0.0029
0.1620
0.8194
0.0005
0.0005
car
0.0030
0.0190
0.0001
0.0114
0.9664
0.0002
clutter
0.0369
0.4250
0.1412
0.0704
0.0279
0.2985
Precision/Correctness
0.937
0.881
0.854
0.954
0.939
0.492
Recall/Completeness
0.894
0.987
0.957
0.819
0.966
0.298
F1
0.915
0.931
0.902
0.882
0.952
0.372

Overall accuracy 0.899

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
0.8896
0.0232
0.0553
0.0200
0.0034
0.0086
building
0.0078
0.9818
0.0055
0.0030
0.0000
0.0019
low_veg
0.0474
0.0246
0.8592
0.0619
0.0002
0.0067
tree
0.0277
0.0075
0.0957
0.8654
0.0020
0.0016
car
0.0743
0.0054
0.0021
0.0210
0.8880
0.0092
clutter
0.2890
0.1984
0.2722
0.0310
0.0061
0.2033
Precision/Correctness
0.891
0.931
0.819
0.904
0.911
0.505
Recall/Completeness
0.890
0.982
0.859
0.865
0.888
0.203
F1
0.890
0.956
0.839
0.884
0.899
0.290

Overall accuracy 0.883

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
0.9181
0.0157
0.0453
0.0128
0.0003
0.0079
building
0.0051
0.9885
0.0029
0.0019
0.0000
0.0016
low_veg
0.0360
0.0155
0.8926
0.0502
0.0001
0.0056
tree
0.0200
0.0058
0.0790
0.8924
0.0015
0.0013
car
0.0102
0.0058
0.0009
0.0124
0.9610
0.0097
clutter
0.2941
0.2012
0.2439
0.0229
0.0064
0.2314
Precision/Correctness
0.921
0.953
0.851
0.931
0.960
0.512
Recall/Completeness
0.918
0.988
0.893
0.892
0.961
0.231
F1
0.919
0.971
0.871
0.911
0.960
0.319

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
0.8732
0.0372
0.0595
0.0205
0.0033
0.0063
building
0.0089
0.9835
0.0043
0.0026
0.0000
0.0007
low_veg
0.0240
0.0134
0.9173
0.0423
0.0000
0.0031
tree
0.0224
0.0052
0.1849
0.7793
0.0013
0.0069
car
0.0684
0.0094
0.0020
0.0280
0.8825
0.0096
clutter
0.2030
0.2146
0.2016
0.0256
0.0056
0.3497
Precision/Correctness
0.897
0.918
0.787
0.920
0.897
0.716
Recall/Completeness
0.873
0.983
0.917
0.779
0.883
0.350
F1
0.885
0.949
0.847
0.844
0.890
0.470

Overall accuracy 0.869

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
0.9039
0.0311
0.0458
0.0137
0.0004
0.0051
building
0.0069
0.9893
0.0017
0.0015
0.0000
0.0004
low_veg
0.0143
0.0075
0.9440
0.0322
0.0000
0.0019
tree
0.0174
0.0042
0.1679
0.8033
0.0011
0.0061
car
0.0090
0.0089
0.0003
0.0182
0.9538
0.0098
clutter
0.1927
0.2100
0.1677
0.0187
0.0066
0.4043
Precision/Correctness
0.926
0.938
0.812
0.945
0.944
0.753
Recall/Completeness
0.904
0.989
0.944
0.803
0.954
0.404
F1
0.915
0.963
0.873
0.868
0.949
0.526

Overall accuracy 0.896

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
0.9264
0.0099
0.0323
0.0249
0.0020
0.0045
building
0.0158
0.9703
0.0067
0.0048
0.0000
0.0023
low_veg
0.0488
0.0069
0.8411
0.1005
0.0001
0.0026
tree
0.0299
0.0026
0.0500
0.9158
0.0010
0.0007
car
0.0730
0.0006
0.0030
0.0322
0.8886
0.0026
clutter
0.5099
0.1117
0.1507
0.0810
0.0130
0.1337
Precision/Correctness
0.843
0.964
0.810
0.797
0.922
0.774
Recall/Completeness
0.926
0.970
0.841
0.916
0.889
0.134
F1
0.883
0.967
0.825
0.852
0.905
0.228

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9464
0.0061
0.0257
0.0177
0.0002
0.0039
building
0.0102
0.9817
0.0027
0.0034
0.0000
0.0021
low_veg
0.0368
0.0020
0.8702
0.0891
0.0000
0.0020
tree
0.0193
0.0015
0.0365
0.9418
0.0006
0.0004
car
0.0073
0.0003
0.0004
0.0209
0.9685
0.0026
clutter
0.5364
0.0960
0.1340
0.0727
0.0143
0.1466
Precision/Correctness
0.868
0.977
0.848
0.835
0.945
0.797
Recall/Completeness
0.946
0.982
0.870
0.942
0.969
0.147
F1
0.905
0.979
0.859
0.885
0.957
0.248

Overall accuracy 0.899

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
0.8721
0.0238
0.0609
0.0179
0.0036
0.0217
building
0.0112
0.9741
0.0042
0.0066
0.0000
0.0039
low_veg
0.0848
0.0148
0.7822
0.0987
0.0003
0.0191
tree
0.0285
0.0049
0.1139
0.8428
0.0020
0.0079
car
0.0602
0.0060
0.0051
0.0236
0.8950
0.0101
clutter
0.5445
0.0537
0.1264
0.0140
0.0017
0.2597
Precision/Correctness
0.730
0.925
0.781
0.839
0.930
0.674
Recall/Completeness
0.872
0.974
0.782
0.843
0.895
0.260
F1
0.794
0.949
0.782
0.841
0.912
0.375

Overall accuracy 0.806

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
0.8919
0.0192
0.0553
0.0122
0.0003
0.0212
building
0.0078
0.9823
0.0015
0.0051
0.0000
0.0032
low_veg
0.0749
0.0096
0.8056
0.0921
0.0001
0.0177
tree
0.0205
0.0035
0.0958
0.8716
0.0014
0.0071
car
0.0156
0.0056
0.0045
0.0153
0.9494
0.0097
clutter
0.5634
0.0499
0.1105
0.0113
0.0013
0.2636
Precision/Correctness
0.739
0.942
0.805
0.863
0.973
0.697
Recall/Completeness
0.892
0.982
0.806
0.872
0.949
0.264
F1
0.808
0.962
0.805
0.867
0.961
0.383

Overall accuracy 0.825

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
0.9054
0.0432
0.0376
0.0072
0.0030
0.0036
building
0.0127
0.9711
0.0115
0.0029
0.0000
0.0018
low_veg
0.0572
0.0237
0.8713
0.0422
0.0007
0.0050
tree
0.0703
0.0082
0.1320
0.7801
0.0067
0.0027
car
0.0750
0.0071
0.0040
0.0098
0.9019
0.0021
clutter
0.3613
0.2639
0.1371
0.0205
0.0072
0.2099
Precision/Correctness
0.899
0.916
0.792
0.900
0.907
0.670
Recall/Completeness
0.905
0.971
0.871
0.780
0.902
0.210
F1
0.902
0.943
0.830
0.836
0.904
0.320

Overall accuracy 0.884

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
0.9228
0.0369
0.0324
0.0048
0.0004
0.0027
building
0.0104
0.9767
0.0092
0.0022
0.0000
0.0015
low_veg
0.0345
0.0145
0.9114
0.0356
0.0003
0.0037
tree
0.0530
0.0062
0.1107
0.8230
0.0052
0.0021
car
0.0076
0.0071
0.0005
0.0048
0.9781
0.0019
clutter
0.3782
0.2618
0.1136
0.0143
0.0066
0.2255
Precision/Correctness
0.928
0.935
0.822
0.926
0.949
0.702
Recall/Completeness
0.923
0.977
0.911
0.823
0.978
0.226
F1
0.925
0.955
0.864
0.872
0.963
0.341

Overall accuracy 0.910

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
0.9124
0.0237
0.0355
0.0211
0.0019
0.0054
building
0.0137
0.9761
0.0044
0.0039
0.0001
0.0019
low_veg
0.0498
0.0101
0.8677
0.0666
0.0001
0.0057
tree
0.0472
0.0043
0.1152
0.8302
0.0015
0.0015
car
0.0931
0.0015
0.0004
0.0112
0.8792
0.0146
clutter
0.2421
0.2585
0.1421
0.0225
0.0619
0.2730
Precision/Correctness
0.912
0.937
0.839
0.824
0.888
0.688
Recall/Completeness
0.912
0.976
0.868
0.830
0.879
0.273
F1
0.912
0.956
0.853
0.827
0.883
0.391

Overall accuracy 0.890

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
0.9320
0.0186
0.0296
0.0158
0.0002
0.0039
building
0.0097
0.9827
0.0029
0.0029
0.0000
0.0017
low_veg
0.0435
0.0053
0.8889
0.0581
0.0000
0.0041
tree
0.0325
0.0027
0.0997
0.8628
0.0011
0.0012
car
0.0132
0.0014
0.0000
0.0075
0.9621
0.0159
clutter
0.2137
0.2514
0.1284
0.0200
0.0766
0.3099
Precision/Correctness
0.937
0.955
0.867
0.854
0.906
0.717
Recall/Completeness
0.932
0.983
0.889
0.863
0.962
0.310
F1
0.935
0.968
0.878
0.858
0.933
0.433

Overall accuracy 0.915

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
0.9226
0.0132
0.0253
0.0271
0.0020
0.0098
building
0.0087
0.9839
0.0047
0.0020
0.0001
0.0006
low_veg
0.0578
0.0143
0.8307
0.0827
0.0003
0.0142
tree
0.0412
0.0067
0.0678
0.8764
0.0029
0.0051
car
0.0786
0.0045
0.0100
0.0188
0.8800
0.0080
clutter
0.2115
0.2355
0.1224
0.0743
0.0086
0.3476
Precision/Correctness
0.865
0.907
0.855
0.833
0.907
0.792
Recall/Completeness
0.923
0.984
0.831
0.876
0.880
0.348
F1
0.893
0.944
0.843
0.854
0.893
0.483

Overall accuracy 0.867

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
0.9430
0.0095
0.0178
0.0207
0.0003
0.0087
building
0.0068
0.9888
0.0025
0.0014
0.0001
0.0005
low_veg
0.0433
0.0104
0.8565
0.0763
0.0000
0.0135
tree
0.0309
0.0056
0.0579
0.8989
0.0021
0.0045
car
0.0089
0.0049
0.0087
0.0110
0.9582
0.0083
clutter
0.1990
0.2157
0.1068
0.0750
0.0087
0.3948
Precision/Correctness
0.894
0.928
0.883
0.857
0.934
0.813
Recall/Completeness
0.943
0.989
0.857
0.899
0.958
0.395
F1
0.918
0.957
0.870
0.878
0.946
0.532

Overall accuracy 0.893

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
0.8911
0.0415
0.0411
0.0189
0.0017
0.0056
building
0.0142
0.9674
0.0073
0.0065
0.0005
0.0041
low_veg
0.0424
0.0065
0.8192
0.1073
0.0001
0.0245
tree
0.0301
0.0041
0.0807
0.8799
0.0020
0.0031
car
0.0930
0.0044
0.0039
0.0156
0.8723
0.0109
clutter
0.3219
0.1770
0.1069
0.0157
0.0026
0.3759
Precision/Correctness
0.903
0.887
0.769
0.797
0.948
0.781
Recall/Completeness
0.891
0.967
0.819
0.880
0.872
0.376
F1
0.897
0.925
0.793
0.836
0.909
0.508

Overall accuracy 0.862

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
0.9073
0.0383
0.0354
0.0141
0.0005
0.0045
building
0.0099
0.9753
0.0056
0.0050
0.0004
0.0038
low_veg
0.0260
0.0028
0.8468
0.0997
0.0001
0.0246
tree
0.0210
0.0023
0.0694
0.9031
0.0015
0.0028
car
0.0155
0.0050
0.0007
0.0121
0.9542
0.0124
clutter
0.3275
0.1519
0.0915
0.0127
0.0021
0.4143
Precision/Correctness
0.923
0.906
0.797
0.828
0.971
0.800
Recall/Completeness
0.907
0.975
0.847
0.903
0.954
0.414
F1
0.915
0.939
0.821
0.864
0.962
0.546

Overall accuracy 0.885

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
0.9417
0.0147
0.0198
0.0155
0.0014
0.0068
building
0.0380
0.9391
0.0174
0.0010
0.0000
0.0044
low_veg
0.0178
0.0062
0.9424
0.0330
0.0000
0.0006
tree
0.0620
0.0031
0.0861
0.8460
0.0015
0.0014
car
0.0591
0.0000
0.0004
0.0050
0.8836
0.0519
clutter
0.3040
0.0469
0.3132
0.0162
0.0021
0.3176
Precision/Correctness
0.928
0.964
0.887
0.876
0.933
0.588
Recall/Completeness
0.942
0.939
0.942
0.846
0.884
0.318
F1
0.935
0.952
0.914
0.861
0.908
0.412

Overall accuracy 0.916

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
0.9580
0.0122
0.0146
0.0095
0.0002
0.0055
building
0.0335
0.9493
0.0130
0.0006
0.0000
0.0037
low_veg
0.0100
0.0038
0.9594
0.0266
0.0000
0.0003
tree
0.0439
0.0020
0.0735
0.8783
0.0011
0.0012
car
0.0050
0.0000
0.0001
0.0027
0.9395
0.0526
clutter
0.2927
0.0421
0.3176
0.0136
0.0016
0.3324
Precision/Correctness
0.945
0.973
0.908
0.908
0.976
0.621
Recall/Completeness
0.958
0.949
0.959
0.878
0.939
0.332
F1
0.951
0.961
0.933
0.893
0.958
0.433

Overall accuracy 0.935

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
0.9452
0.0175
0.0196
0.0108
0.0048
0.0021
building
0.0375
0.9554
0.0048
0.0008
0.0002
0.0013
low_veg
0.0549
0.0106
0.8629
0.0681
0.0003
0.0033
tree
0.0479
0.0122
0.0696
0.8652
0.0042
0.0010
car
0.0553
0.0120
0.0017
0.0122
0.9143
0.0044
clutter
0.3191
0.2653
0.1115
0.0612
0.0170
0.2259
Precision/Correctness
0.917
0.947
0.879
0.831
0.912
0.728
Recall/Completeness
0.945
0.955
0.863
0.865
0.914
0.226
F1
0.931
0.951
0.871
0.848
0.913
0.345

Overall accuracy 0.910

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
0.9623
0.0132
0.0147
0.0077
0.0003
0.0017
building
0.0333
0.9627
0.0025
0.0004
0.0000
0.0011
low_veg
0.0376
0.0052
0.8939
0.0609
0.0000
0.0024
tree
0.0368
0.0104
0.0573
0.8917
0.0031
0.0009
car
0.0055
0.0114
0.0008
0.0074
0.9698
0.0050
clutter
0.3075
0.2865
0.0829
0.0647
0.0165
0.2419
Precision/Correctness
0.936
0.958
0.906
0.859
0.969
0.760
Recall/Completeness
0.962
0.963
0.894
0.892
0.970
0.242
F1
0.949
0.960
0.900
0.875
0.969
0.367

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_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9022
0.0338
0.0304
0.0128
0.0049
0.0158
building
0.0117
0.9385
0.0441
0.0021
0.0003
0.0032
low_veg
0.0429
0.0059
0.8585
0.0542
0.0012
0.0374
tree
0.0366
0.0051
0.1520
0.7976
0.0040
0.0046
car
0.0575
0.0007
0.0048
0.0169
0.9101
0.0100
clutter
0.0986
0.0516
0.1029
0.0138
0.0043
0.7289
Precision/Correctness
0.938
0.925
0.712
0.894
0.904
0.766
Recall/Completeness
0.902
0.939
0.859
0.798
0.910
0.729
F1
0.920
0.932
0.778
0.843
0.907
0.747

Overall accuracy 0.878

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
0.9218
0.0315
0.0232
0.0090
0.0004
0.0140
building
0.0073
0.9469
0.0414
0.0013
0.0003
0.0029
low_veg
0.0272
0.0041
0.8873
0.0445
0.0002
0.0368
tree
0.0275
0.0037
0.1354
0.8262
0.0032
0.0040
car
0.0072
0.0002
0.0007
0.0113
0.9705
0.0102
clutter
0.0907
0.0514
0.0885
0.0108
0.0040
0.7546
Precision/Correctness
0.958
0.934
0.733
0.922
0.961
0.789
Recall/Completeness
0.922
0.947
0.887
0.826
0.970
0.755
F1
0.939
0.940
0.803
0.871
0.966
0.771

Overall accuracy 0.899

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
0.9203
0.0216
0.0109
0.0273
0.0016
0.0183
building
0.0206
0.9387
0.0025
0.0027
0.0000
0.0355
low_veg
0.0460
0.0083
0.7456
0.1919
0.0002
0.0080
tree
0.0217
0.0027
0.0915
0.8829
0.0007
0.0005
car
0.0485
0.0028
0.0012
0.0260
0.9125
0.0090
clutter
0.1069
0.0194
0.0209
0.0040
0.0084
0.8404
Precision/Correctness
0.955
0.939
0.834
0.667
0.884
0.808
Recall/Completeness
0.920
0.939
0.746
0.883
0.913
0.840
F1
0.938
0.939
0.787
0.760
0.898
0.824

Overall accuracy 0.897

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
0.9360
0.0183
0.0080
0.0201
0.0002
0.0174
building
0.0173
0.9446
0.0017
0.0018
0.0000
0.0347
low_veg
0.0339
0.0040
0.7699
0.1846
0.0000
0.0075
tree
0.0136
0.0011
0.0854
0.8993
0.0004
0.0002
car
0.0048
0.0029
0.0002
0.0163
0.9685
0.0073
clutter
0.1004
0.0179
0.0191
0.0032
0.0076
0.8517
Precision/Correctness
0.964
0.950
0.856
0.697
0.925
0.818
Recall/Completeness
0.936
0.945
0.770
0.899
0.968
0.852
F1
0.950
0.947
0.811
0.785
0.946
0.834

Overall accuracy 0.912

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image