Detailled semantic labeling (2D) result


Name Y. Liu et al.
Affiliation Chinese Academy of Sciences, China
Abbreviation CASIA2
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
0.928
0.014
0.029
0.017
0.002
0.009
building
0.017
0.968
0.006
0.003
0.000
0.006
low_veg
0.045
0.009
0.871
0.064
0.000
0.011
tree
0.032
0.004
0.117
0.842
0.002
0.003
car
0.078
0.003
0.001
0.017
0.892
0.010
clutter
0.280
0.111
0.135
0.022
0.009
0.444
Precision/Correctness
0.898
0.949
0.832
0.874
0.928
0.733
Recall/Completeness
0.928
0.968
0.871
0.842
0.892
0.444
F1
0.913
0.959
0.851
0.857
0.909
0.553

Overall accuracy 0.888

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
0.946
0.011
0.023
0.011
0.000
0.008
building
0.013
0.976
0.004
0.002
0.000
0.005
low_veg
0.033
0.005
0.897
0.055
0.000
0.010
tree
0.023
0.003
0.102
0.868
0.001
0.002
car
0.009
0.003
0.000
0.010
0.968
0.011
clutter
0.273
0.097
0.119
0.017
0.009
0.485
Precision/Correctness
0.921
0.964
0.857
0.902
0.956
0.759
Recall/Completeness
0.946
0.976
0.897
0.868
0.968
0.485
F1
0.933
0.970
0.877
0.884
0.962
0.591

Overall accuracy 0.911
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9041
0.0204
0.0485
0.0104
0.0018
0.0147
building
0.0135
0.9558
0.0191
0.0033
0.0003
0.0080
low_veg
0.0318
0.0107
0.9097
0.0368
0.0002
0.0108
tree
0.0372
0.0087
0.1265
0.8224
0.0012
0.0040
car
0.0820
0.0105
0.0024
0.0082
0.8810
0.0159
clutter
0.1433
0.1739
0.1414
0.0233
0.0140
0.5042
Precision/Correctness
0.901
0.928
0.853
0.928
0.903
0.506
Recall/Completeness
0.904
0.956
0.910
0.822
0.881
0.504
F1
0.902
0.942
0.880
0.872
0.892
0.505

Overall accuracy 0.888

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
0.9251
0.0155
0.0407
0.0060
0.0002
0.0125
building
0.0102
0.9647
0.0156
0.0023
0.0003
0.0070
low_veg
0.0232
0.0072
0.9333
0.0267
0.0001
0.0093
tree
0.0282
0.0068
0.1053
0.8557
0.0008
0.0032
car
0.0177
0.0130
0.0005
0.0025
0.9475
0.0187
clutter
0.0985
0.1723
0.1019
0.0155
0.0180
0.5938
Precision/Correctness
0.930
0.948
0.879
0.951
0.940
0.509
Recall/Completeness
0.925
0.965
0.933
0.856
0.948
0.594
F1
0.927
0.956
0.905
0.901
0.944
0.548

Overall accuracy 0.914

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
0.8997
0.0067
0.0734
0.0110
0.0011
0.0081
building
0.0048
0.9809
0.0082
0.0040
0.0000
0.0021
low_veg
0.0148
0.0036
0.9540
0.0252
0.0000
0.0025
tree
0.0174
0.0033
0.2012
0.7765
0.0007
0.0009
car
0.0653
0.0044
0.0014
0.0128
0.9161
0.0000
clutter
0.0869
0.2737
0.1478
0.0530
0.0502
0.3884
Precision/Correctness
0.912
0.935
0.824
0.956
0.900
0.337
Recall/Completeness
0.900
0.981
0.954
0.776
0.916
0.388
F1
0.906
0.957
0.884
0.857
0.908
0.361

Overall accuracy 0.882

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
0.9289
0.0036
0.0537
0.0064
0.0000
0.0074
building
0.0028
0.9894
0.0036
0.0026
0.0000
0.0015
low_veg
0.0099
0.0017
0.9671
0.0192
0.0000
0.0021
tree
0.0132
0.0025
0.1838
0.7993
0.0005
0.0007
car
0.0023
0.0032
0.0000
0.0048
0.9897
0.0000
clutter
0.0377
0.3103
0.0937
0.0516
0.0602
0.4465
Precision/Correctness
0.938
0.959
0.843
0.969
0.934
0.330
Recall/Completeness
0.929
0.989
0.967
0.799
0.990
0.447
F1
0.933
0.974
0.901
0.876
0.961
0.379

Overall accuracy 0.901

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
0.9054
0.0181
0.0426
0.0164
0.0026
0.0149
building
0.0073
0.9789
0.0052
0.0032
0.0000
0.0054
low_veg
0.0562
0.0175
0.8670
0.0501
0.0001
0.0092
tree
0.0267
0.0060
0.0933
0.8699
0.0021
0.0021
car
0.0725
0.0019
0.0006
0.0167
0.8978
0.0104
clutter
0.2941
0.1424
0.2337
0.0235
0.0059
0.3004
Precision/Correctness
0.886
0.947
0.837
0.921
0.922
0.475
Recall/Completeness
0.905
0.979
0.867
0.870
0.898
0.300
F1
0.896
0.963
0.852
0.895
0.910
0.368

Overall accuracy 0.892

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
0.9303
0.0116
0.0346
0.0096
0.0001
0.0138
building
0.0046
0.9862
0.0026
0.0019
0.0000
0.0046
low_veg
0.0434
0.0086
0.9026
0.0382
0.0000
0.0071
tree
0.0184
0.0046
0.0765
0.8974
0.0015
0.0016
car
0.0077
0.0017
0.0000
0.0087
0.9701
0.0117
clutter
0.2978
0.1370
0.2002
0.0166
0.0074
0.3412
Precision/Correctness
0.917
0.968
0.867
0.947
0.963
0.480
Recall/Completeness
0.930
0.986
0.903
0.897
0.970
0.341
F1
0.924
0.977
0.885
0.921
0.966
0.399

Overall accuracy 0.921

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
0.8898
0.0227
0.0551
0.0206
0.0026
0.0092
building
0.0107
0.9813
0.0035
0.0026
0.0000
0.0020
low_veg
0.0256
0.0119
0.9181
0.0392
0.0000
0.0052
tree
0.0193
0.0034
0.1887
0.7838
0.0011
0.0036
car
0.0675
0.0000
0.0008
0.0288
0.8916
0.0113
clutter
0.2145
0.1751
0.1870
0.0196
0.0049
0.3988
Precision/Correctness
0.897
0.938
0.789
0.925
0.914
0.714
Recall/Completeness
0.890
0.981
0.918
0.784
0.892
0.399
F1
0.893
0.959
0.848
0.848
0.903
0.512

Overall accuracy 0.875

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
0.9178
0.0172
0.0436
0.0136
0.0002
0.0076
building
0.0086
0.9873
0.0009
0.0016
0.0000
0.0015
low_veg
0.0147
0.0064
0.9460
0.0291
0.0000
0.0037
tree
0.0140
0.0025
0.1719
0.8078
0.0009
0.0029
car
0.0086
0.0000
0.0001
0.0171
0.9630
0.0113
clutter
0.2015
0.1685
0.1557
0.0116
0.0060
0.4567
Precision/Correctness
0.927
0.957
0.812
0.949
0.955
0.755
Recall/Completeness
0.918
0.987
0.946
0.808
0.963
0.457
F1
0.923
0.972
0.874
0.873
0.959
0.569

Overall accuracy 0.901

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
0.9431
0.0074
0.0220
0.0234
0.0010
0.0030
building
0.0163
0.9682
0.0065
0.0046
0.0001
0.0044
low_veg
0.0536
0.0056
0.8262
0.1090
0.0001
0.0056
tree
0.0220
0.0013
0.0399
0.9347
0.0012
0.0009
car
0.0742
0.0001
0.0008
0.0296
0.8934
0.0020
clutter
0.5391
0.0977
0.1454
0.0689
0.0131
0.1358
Precision/Correctness
0.841
0.970
0.834
0.801
0.934
0.733
Recall/Completeness
0.943
0.968
0.826
0.935
0.893
0.136
F1
0.889
0.969
0.830
0.863
0.913
0.229

Overall accuracy 0.878

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
0.9607
0.0046
0.0166
0.0157
0.0001
0.0023
building
0.0106
0.9802
0.0025
0.0029
0.0000
0.0038
low_veg
0.0398
0.0013
0.8576
0.0967
0.0000
0.0046
tree
0.0120
0.0005
0.0285
0.9579
0.0006
0.0005
car
0.0043
0.0000
0.0000
0.0173
0.9766
0.0018
clutter
0.5675
0.0845
0.1281
0.0584
0.0147
0.1467
Precision/Correctness
0.866
0.981
0.873
0.841
0.945
0.766
Recall/Completeness
0.961
0.980
0.858
0.958
0.977
0.147
F1
0.911
0.980
0.865
0.896
0.960
0.246

Overall accuracy 0.904

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
0.8958
0.0163
0.0524
0.0145
0.0026
0.0184
building
0.0157
0.9676
0.0032
0.0061
0.0000
0.0074
low_veg
0.0838
0.0121
0.7954
0.0786
0.0002
0.0299
tree
0.0303
0.0036
0.1174
0.8390
0.0018
0.0079
car
0.0647
0.0044
0.0006
0.0260
0.8884
0.0159
clutter
0.4388
0.0379
0.1515
0.0130
0.0011
0.3575
Precision/Correctness
0.758
0.945
0.782
0.864
0.946
0.704
Recall/Completeness
0.896
0.968
0.795
0.839
0.888
0.358
F1
0.821
0.956
0.788
0.851
0.916
0.474

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_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9133
0.0120
0.0486
0.0087
0.0001
0.0173
building
0.0124
0.9757
0.0012
0.0046
0.0000
0.0061
low_veg
0.0710
0.0071
0.8212
0.0707
0.0000
0.0300
tree
0.0217
0.0024
0.1003
0.8672
0.0013
0.0070
car
0.0146
0.0041
0.0001
0.0167
0.9486
0.0158
clutter
0.4497
0.0344
0.1383
0.0100
0.0009
0.3667
Precision/Correctness
0.772
0.960
0.802
0.890
0.979
0.725
Recall/Completeness
0.913
0.976
0.821
0.867
0.949
0.367
F1
0.836
0.968
0.811
0.878
0.964
0.487

Overall accuracy 0.843

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
0.9237
0.0326
0.0303
0.0061
0.0019
0.0053
building
0.0055
0.9865
0.0044
0.0021
0.0001
0.0014
low_veg
0.0732
0.0218
0.8624
0.0337
0.0004
0.0086
tree
0.0628
0.0072
0.1109
0.8097
0.0060
0.0035
car
0.0908
0.0092
0.0016
0.0070
0.8893
0.0021
clutter
0.3253
0.2712
0.1492
0.0118
0.0049
0.2376
Precision/Correctness
0.904
0.928
0.823
0.922
0.928
0.623
Recall/Completeness
0.924
0.987
0.862
0.810
0.889
0.238
F1
0.914
0.956
0.842
0.862
0.908
0.344

Overall accuracy 0.898

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
0.9396
0.0259
0.0266
0.0035
0.0002
0.0041
building
0.0036
0.9914
0.0025
0.0015
0.0000
0.0010
low_veg
0.0489
0.0126
0.9043
0.0271
0.0001
0.0071
tree
0.0457
0.0052
0.0900
0.8523
0.0042
0.0026
car
0.0132
0.0101
0.0001
0.0028
0.9717
0.0020
clutter
0.3280
0.2754
0.1367
0.0083
0.0047
0.2470
Precision/Correctness
0.934
0.946
0.852
0.946
0.962
0.649
Recall/Completeness
0.940
0.991
0.904
0.852
0.972
0.247
F1
0.937
0.968
0.877
0.897
0.967
0.358

Overall accuracy 0.924

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
0.9370
0.0101
0.0255
0.0205
0.0014
0.0055
building
0.0121
0.9778
0.0033
0.0037
0.0000
0.0031
low_veg
0.0793
0.0096
0.8160
0.0887
0.0000
0.0064
tree
0.0432
0.0029
0.0835
0.8664
0.0022
0.0017
car
0.0943
0.0029
0.0003
0.0091
0.8836
0.0098
clutter
0.2451
0.2157
0.1582
0.0164
0.0590
0.3055
Precision/Correctness
0.901
0.957
0.863
0.807
0.896
0.691
Recall/Completeness
0.937
0.978
0.816
0.866
0.884
0.306
F1
0.919
0.967
0.839
0.836
0.890
0.424

Overall accuracy 0.895

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
0.9547
0.0055
0.0209
0.0146
0.0001
0.0042
building
0.0080
0.9849
0.0019
0.0027
0.0000
0.0024
low_veg
0.0731
0.0053
0.8380
0.0789
0.0000
0.0046
tree
0.0281
0.0016
0.0710
0.8963
0.0017
0.0013
car
0.0089
0.0033
0.0000
0.0051
0.9721
0.0106
clutter
0.2053
0.2028
0.1539
0.0139
0.0744
0.3497
Precision/Correctness
0.927
0.973
0.889
0.837
0.908
0.722
Recall/Completeness
0.955
0.985
0.838
0.896
0.972
0.350
F1
0.941
0.979
0.863
0.866
0.939
0.471

Overall accuracy 0.919

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
0.9405
0.0064
0.0186
0.0254
0.0008
0.0082
building
0.0079
0.9851
0.0038
0.0023
0.0001
0.0008
low_veg
0.0547
0.0110
0.8204
0.0967
0.0001
0.0171
tree
0.0405
0.0041
0.0630
0.8839
0.0026
0.0058
car
0.0990
0.0003
0.0024
0.0217
0.8493
0.0272
clutter
0.2156
0.1978
0.1451
0.0364
0.0028
0.4024
Precision/Correctness
0.868
0.927
0.859
0.835
0.947
0.799
Recall/Completeness
0.940
0.985
0.820
0.884
0.849
0.402
F1
0.903
0.955
0.839
0.859
0.895
0.535

Overall accuracy 0.875

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
0.9577
0.0040
0.0126
0.0183
0.0001
0.0074
building
0.0058
0.9904
0.0016
0.0016
0.0001
0.0006
low_veg
0.0385
0.0081
0.8476
0.0896
0.0000
0.0162
tree
0.0302
0.0032
0.0544
0.9051
0.0019
0.0052
car
0.0094
0.0002
0.0009
0.0124
0.9454
0.0318
clutter
0.1963
0.1764
0.1335
0.0327
0.0028
0.4583
Precision/Correctness
0.901
0.945
0.885
0.861
0.964
0.819
Recall/Completeness
0.958
0.990
0.848
0.905
0.945
0.458
F1
0.928
0.967
0.866
0.883
0.955
0.588

Overall accuracy 0.900

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
0.9170
0.0241
0.0334
0.0190
0.0010
0.0055
building
0.0202
0.9624
0.0064
0.0051
0.0002
0.0058
low_veg
0.0487
0.0046
0.7948
0.1281
0.0001
0.0237
tree
0.0322
0.0034
0.0556
0.9051
0.0020
0.0017
car
0.1149
0.0021
0.0017
0.0158
0.8559
0.0096
clutter
0.2856
0.1273
0.1077
0.0138
0.0020
0.4635
Precision/Correctness
0.904
0.924
0.797
0.786
0.965
0.813
Recall/Completeness
0.917
0.962
0.795
0.905
0.856
0.463
F1
0.911
0.943
0.796
0.842
0.907
0.590

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: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9303
0.0213
0.0294
0.0137
0.0004
0.0049
building
0.0152
0.9710
0.0047
0.0037
0.0002
0.0053
low_veg
0.0313
0.0015
0.8241
0.1201
0.0000
0.0231
tree
0.0226
0.0018
0.0472
0.9258
0.0015
0.0011
car
0.0147
0.0024
0.0002
0.0117
0.9596
0.0115
clutter
0.2776
0.0983
0.0958
0.0109
0.0021
0.5154
Precision/Correctness
0.927
0.942
0.820
0.818
0.975
0.831
Recall/Completeness
0.930
0.971
0.824
0.926
0.960
0.515
F1
0.929
0.956
0.822
0.869
0.967
0.636

Overall accuracy 0.899

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
0.9478
0.0087
0.0163
0.0157
0.0010
0.0105
building
0.0366
0.9382
0.0178
0.0013
0.0003
0.0058
low_veg
0.0173
0.0035
0.9341
0.0430
0.0000
0.0021
tree
0.0540
0.0020
0.0558
0.8860
0.0012
0.0010
car
0.0645
0.0000
0.0000
0.0055
0.9162
0.0138
clutter
0.3020
0.0175
0.3399
0.0321
0.0157
0.2928
Precision/Correctness
0.931
0.980
0.902
0.860
0.923
0.495
Recall/Completeness
0.948
0.938
0.934
0.886
0.916
0.293
F1
0.939
0.958
0.918
0.873
0.919
0.368

Overall accuracy 0.921

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
0.9635
0.0066
0.0119
0.0094
0.0001
0.0086
building
0.0321
0.9490
0.0132
0.0007
0.0003
0.0048
low_veg
0.0093
0.0017
0.9519
0.0356
0.0000
0.0015
tree
0.0369
0.0012
0.0456
0.9147
0.0009
0.0007
car
0.0037
0.0000
0.0000
0.0025
0.9813
0.0125
clutter
0.2977
0.0147
0.3564
0.0287
0.0170
0.2855
Precision/Correctness
0.948
0.986
0.920
0.893
0.952
0.511
Recall/Completeness
0.964
0.949
0.952
0.915
0.981
0.285
F1
0.956
0.967
0.936
0.904
0.966
0.366

Overall accuracy 0.939

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
0.9565
0.0125
0.0160
0.0105
0.0028
0.0018
building
0.0350
0.9576
0.0041
0.0010
0.0001
0.0021
low_veg
0.0556
0.0101
0.8489
0.0787
0.0003
0.0064
tree
0.0378
0.0071
0.0525
0.8980
0.0039
0.0007
car
0.0612
0.0020
0.0012
0.0114
0.9206
0.0035
clutter
0.2974
0.2920
0.1053
0.0193
0.0100
0.2759
Precision/Correctness
0.922
0.954
0.897
0.831
0.942
0.719
Recall/Completeness
0.956
0.958
0.849
0.898
0.921
0.276
F1
0.939
0.956
0.872
0.863
0.931
0.399

Overall accuracy 0.918

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
0.9705
0.0090
0.0118
0.0071
0.0001
0.0015
building
0.0305
0.9654
0.0016
0.0006
0.0001
0.0019
low_veg
0.0370
0.0056
0.8810
0.0710
0.0000
0.0054
tree
0.0263
0.0056
0.0422
0.9224
0.0028
0.0006
car
0.0032
0.0011
0.0006
0.0057
0.9857
0.0038
clutter
0.2766
0.3233
0.0797
0.0147
0.0092
0.2966
Precision/Correctness
0.942
0.963
0.924
0.862
0.979
0.744
Recall/Completeness
0.970
0.965
0.881
0.922
0.986
0.297
F1
0.956
0.964
0.902
0.891
0.982
0.424

Overall accuracy 0.937

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
0.9361
0.0083
0.0275
0.0096
0.0035
0.0151
building
0.0098
0.9767
0.0043
0.0032
0.0000
0.0059
low_veg
0.0370
0.0020
0.8643
0.0558
0.0008
0.0401
tree
0.0422
0.0031
0.1278
0.8198
0.0035
0.0036
car
0.0604
0.0003
0.0040
0.0153
0.9107
0.0093
clutter
0.1013
0.0238
0.1067
0.0057
0.0026
0.7598
Precision/Correctness
0.941
0.977
0.773
0.905
0.928
0.766
Recall/Completeness
0.936
0.977
0.864
0.820
0.911
0.760
F1
0.938
0.977
0.816
0.860
0.919
0.763

Overall accuracy 0.906

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
0.9536
0.0061
0.0211
0.0059
0.0001
0.0132
building
0.0048
0.9865
0.0010
0.0022
0.0000
0.0055
low_veg
0.0198
0.0002
0.8947
0.0459
0.0000
0.0393
tree
0.0323
0.0019
0.1123
0.8480
0.0027
0.0028
car
0.0058
0.0000
0.0004
0.0090
0.9747
0.0100
clutter
0.0929
0.0233
0.0937
0.0041
0.0027
0.7834
Precision/Correctness
0.961
0.984
0.800
0.932
0.974
0.788
Recall/Completeness
0.954
0.987
0.895
0.848
0.975
0.783
F1
0.957
0.985
0.845
0.888
0.975
0.786

Overall accuracy 0.927

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
0.9427
0.0098
0.0067
0.0255
0.0013
0.0141
building
0.0266
0.9362
0.0050
0.0042
0.0001
0.0279
low_veg
0.0488
0.0057
0.7573
0.1769
0.0001
0.0112
tree
0.0271
0.0023
0.0822
0.8870
0.0005
0.0009
car
0.0513
0.0006
0.0005
0.0293
0.9046
0.0136
clutter
0.1191
0.0089
0.0416
0.0019
0.0096
0.8189
Precision/Correctness
0.950
0.970
0.840
0.683
0.885
0.835
Recall/Completeness
0.943
0.936
0.757
0.887
0.905
0.819
F1
0.946
0.953
0.796
0.772
0.895
0.827

Overall accuracy 0.907

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
0.9572
0.0067
0.0044
0.0182
0.0003
0.0131
building
0.0231
0.9427
0.0039
0.0032
0.0001
0.0271
low_veg
0.0350
0.0023
0.7841
0.1683
0.0000
0.0103
tree
0.0196
0.0012
0.0762
0.9020
0.0003
0.0007
car
0.0039
0.0003
0.0000
0.0186
0.9637
0.0135
clutter
0.1095
0.0079
0.0401
0.0012
0.0091
0.8322
Precision/Correctness
0.959
0.980
0.859
0.715
0.912
0.846
Recall/Completeness
0.957
0.943
0.784
0.902
0.964
0.832
F1
0.958
0.961
0.820
0.798
0.937
0.839

Overall accuracy 0.922

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image