Detailled semantic labeling (2D) result


Name J. Sherrah (DFCN IRRG nDSM atrous)
Affiliation DST Group, Australia
Abbreviation DST_5
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
0.919
0.018
0.031
0.020
0.003
0.010
building
0.017
0.964
0.010
0.004
0.000
0.005
low_veg
0.054
0.013
0.852
0.068
0.000
0.012
tree
0.033
0.006
0.112
0.844
0.002
0.004
car
0.113
0.008
0.003
0.021
0.843
0.011
clutter
0.295
0.122
0.138
0.025
0.005
0.414
Precision/Correctness
0.887
0.939
0.827
0.862
0.917
0.712
Recall/Completeness
0.919
0.964
0.852
0.844
0.843
0.414
F1
0.902
0.951
0.839
0.853
0.878
0.524

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
0.941
0.013
0.024
0.014
0.000
0.008
building
0.014
0.972
0.007
0.003
0.000
0.005
low_veg
0.043
0.007
0.881
0.058
0.000
0.011
tree
0.024
0.004
0.097
0.870
0.001
0.003
car
0.030
0.009
0.001
0.014
0.932
0.012
clutter
0.294
0.107
0.122
0.020
0.005
0.452
Precision/Correctness
0.910
0.957
0.854
0.890
0.961
0.744
Recall/Completeness
0.941
0.972
0.881
0.870
0.932
0.452
F1
0.925
0.964
0.867
0.880
0.947
0.562

Overall accuracy 0.903
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8923
0.0323
0.0312
0.0257
0.0037
0.0147
building
0.0367
0.9307
0.0195
0.0086
0.0001
0.0044
low_veg
0.0515
0.0257
0.8513
0.0585
0.0001
0.0128
tree
0.0231
0.0100
0.1248
0.8376
0.0009
0.0036
car
0.0901
0.0415
0.0014
0.0205
0.8318
0.0147
clutter
0.1338
0.2648
0.1266
0.0419
0.0045
0.4285
Precision/Correctness
0.875
0.879
0.858
0.879
0.883
0.469
Recall/Completeness
0.892
0.931
0.851
0.838
0.832
0.428
F1
0.884
0.904
0.855
0.858
0.857
0.448

Overall accuracy 0.865

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
0.9219
0.0255
0.0225
0.0173
0.0007
0.0121
building
0.0331
0.9405
0.0157
0.0070
0.0001
0.0036
low_veg
0.0437
0.0217
0.8783
0.0455
0.0001
0.0107
tree
0.0164
0.0082
0.1044
0.8676
0.0006
0.0029
car
0.0331
0.0466
0.0009
0.0121
0.8903
0.0171
clutter
0.1030
0.2702
0.0891
0.0306
0.0051
0.5020
Precision/Correctness
0.900
0.905
0.886
0.910
0.954
0.481
Recall/Completeness
0.922
0.941
0.878
0.868
0.890
0.502
F1
0.911
0.922
0.882
0.888
0.921
0.491

Overall accuracy 0.893

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
0.9056
0.0111
0.0574
0.0196
0.0025
0.0038
building
0.0048
0.9802
0.0067
0.0048
0.0000
0.0035
low_veg
0.0300
0.0049
0.9020
0.0594
0.0000
0.0037
tree
0.0135
0.0045
0.1170
0.8619
0.0006
0.0024
car
0.0817
0.0109
0.0023
0.0230
0.8732
0.0089
clutter
0.0894
0.3330
0.1278
0.0779
0.0038
0.3681
Precision/Correctness
0.884
0.911
0.879
0.915
0.895
0.288
Recall/Completeness
0.906
0.980
0.902
0.862
0.873
0.368
F1
0.895
0.944
0.890
0.888
0.884
0.323

Overall accuracy 0.892

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
0.9344
0.0063
0.0432
0.0129
0.0004
0.0029
building
0.0027
0.9892
0.0028
0.0026
0.0000
0.0026
low_veg
0.0231
0.0023
0.9224
0.0492
0.0000
0.0030
tree
0.0099
0.0037
0.1029
0.8810
0.0004
0.0021
car
0.0156
0.0121
0.0003
0.0175
0.9447
0.0098
clutter
0.0577
0.3906
0.0786
0.0747
0.0033
0.3951
Precision/Correctness
0.911
0.942
0.897
0.933
0.956
0.275
Recall/Completeness
0.934
0.989
0.922
0.881
0.945
0.395
F1
0.923
0.965
0.910
0.906
0.950
0.324

Overall accuracy 0.913

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
0.8938
0.0237
0.0402
0.0277
0.0046
0.0100
building
0.0095
0.9786
0.0045
0.0038
0.0000
0.0036
low_veg
0.0575
0.0249
0.8382
0.0675
0.0002
0.0117
tree
0.0228
0.0070
0.0916
0.8742
0.0014
0.0029
car
0.0887
0.0030
0.0013
0.0289
0.8673
0.0108
clutter
0.2982
0.1787
0.2286
0.0274
0.0041
0.2632
Precision/Correctness
0.884
0.932
0.837
0.891
0.902
0.473
Recall/Completeness
0.894
0.979
0.838
0.874
0.867
0.263
F1
0.889
0.955
0.837
0.883
0.884
0.338

Overall accuracy 0.882

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
0.9263
0.0159
0.0295
0.0188
0.0007
0.0088
building
0.0070
0.9856
0.0022
0.0026
0.0000
0.0027
low_veg
0.0468
0.0136
0.8763
0.0543
0.0001
0.0089
tree
0.0161
0.0053
0.0767
0.8986
0.0010
0.0023
car
0.0181
0.0032
0.0004
0.0189
0.9477
0.0117
clutter
0.3175
0.1788
0.1929
0.0180
0.0048
0.2879
Precision/Correctness
0.912
0.956
0.869
0.921
0.963
0.486
Recall/Completeness
0.926
0.986
0.876
0.899
0.948
0.288
F1
0.919
0.971
0.873
0.910
0.955
0.362

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
0.8783
0.0246
0.0518
0.0323
0.0044
0.0087
building
0.0095
0.9804
0.0046
0.0030
0.0004
0.0021
low_veg
0.0340
0.0127
0.8845
0.0601
0.0001
0.0087
tree
0.0173
0.0053
0.1464
0.8251
0.0008
0.0051
car
0.0889
0.0147
0.0012
0.0421
0.8377
0.0154
clutter
0.2180
0.1935
0.1677
0.0325
0.0027
0.3857
Precision/Correctness
0.887
0.931
0.814
0.894
0.883
0.655
Recall/Completeness
0.878
0.980
0.884
0.825
0.838
0.386
F1
0.883
0.955
0.848
0.858
0.860
0.486

Overall accuracy 0.873

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
0.9132
0.0170
0.0387
0.0235
0.0009
0.0067
building
0.0077
0.9867
0.0019
0.0019
0.0003
0.0013
low_veg
0.0238
0.0060
0.9149
0.0486
0.0000
0.0067
tree
0.0130
0.0040
0.1300
0.8483
0.0007
0.0041
car
0.0238
0.0165
0.0007
0.0282
0.9154
0.0155
clutter
0.2112
0.1860
0.1359
0.0255
0.0023
0.4390
Precision/Correctness
0.917
0.954
0.841
0.921
0.946
0.703
Recall/Completeness
0.913
0.987
0.915
0.848
0.915
0.439
F1
0.915
0.970
0.876
0.883
0.930
0.540

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
0.9249
0.0096
0.0321
0.0276
0.0022
0.0035
building
0.0127
0.9723
0.0067
0.0049
0.0001
0.0033
low_veg
0.0482
0.0115
0.8320
0.0980
0.0002
0.0101
tree
0.0274
0.0030
0.0644
0.9015
0.0012
0.0024
car
0.1158
0.0011
0.0041
0.0359
0.8406
0.0025
clutter
0.5036
0.1213
0.1674
0.0707
0.0039
0.1331
Precision/Correctness
0.845
0.961
0.792
0.795
0.941
0.694
Recall/Completeness
0.925
0.972
0.832
0.902
0.841
0.133
F1
0.883
0.967
0.812
0.845
0.888
0.223

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
0.9482
0.0052
0.0241
0.0199
0.0003
0.0024
building
0.0080
0.9828
0.0030
0.0035
0.0000
0.0026
low_veg
0.0363
0.0041
0.8642
0.0873
0.0000
0.0082
tree
0.0173
0.0017
0.0497
0.9289
0.0008
0.0016
car
0.0280
0.0004
0.0013
0.0255
0.9423
0.0027
clutter
0.5320
0.1068
0.1506
0.0624
0.0043
0.1438
Precision/Correctness
0.870
0.975
0.834
0.833
0.974
0.742
Recall/Completeness
0.948
0.983
0.864
0.929
0.942
0.144
F1
0.908
0.979
0.849
0.878
0.958
0.241

Overall accuracy 0.897

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
0.8794
0.0221
0.0668
0.0156
0.0035
0.0126
building
0.0162
0.9674
0.0039
0.0060
0.0001
0.0063
low_veg
0.0819
0.0153
0.8123
0.0593
0.0002
0.0311
tree
0.0274
0.0050
0.1507
0.8080
0.0014
0.0076
car
0.1117
0.0090
0.0024
0.0305
0.8258
0.0206
clutter
0.5007
0.0526
0.1419
0.0113
0.0007
0.2927
Precision/Correctness
0.738
0.926
0.756
0.881
0.936
0.681
Recall/Completeness
0.879
0.967
0.812
0.808
0.826
0.293
F1
0.803
0.947
0.783
0.843
0.878
0.410

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
0.9037
0.0168
0.0582
0.0099
0.0005
0.0109
building
0.0133
0.9751
0.0018
0.0047
0.0001
0.0049
low_veg
0.0703
0.0093
0.8389
0.0518
0.0000
0.0297
tree
0.0197
0.0035
0.1311
0.8384
0.0009
0.0064
car
0.0339
0.0099
0.0011
0.0225
0.9109
0.0217
clutter
0.5181
0.0488
0.1269
0.0084
0.0005
0.2974
Precision/Correctness
0.752
0.945
0.781
0.907
0.979
0.713
Recall/Completeness
0.904
0.975
0.839
0.838
0.911
0.297
F1
0.821
0.960
0.809
0.871
0.944
0.420

Overall accuracy 0.831

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
0.9286
0.0156
0.0410
0.0066
0.0030
0.0053
building
0.0090
0.9814
0.0044
0.0018
0.0000
0.0034
low_veg
0.0570
0.0249
0.8703
0.0376
0.0005
0.0097
tree
0.0635
0.0087
0.1446
0.7745
0.0054
0.0033
car
0.1279
0.0060
0.0050
0.0097
0.8343
0.0172
clutter
0.3651
0.2290
0.1297
0.0150
0.0029
0.2583
Precision/Correctness
0.903
0.946
0.791
0.912
0.913
0.587
Recall/Completeness
0.929
0.981
0.870
0.775
0.834
0.258
F1
0.916
0.964
0.829
0.838
0.872
0.359

Overall accuracy 0.894

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
0.9501
0.0087
0.0333
0.0039
0.0004
0.0035
building
0.0065
0.9872
0.0023
0.0012
0.0000
0.0027
low_veg
0.0379
0.0147
0.9106
0.0291
0.0000
0.0076
tree
0.0468
0.0063
0.1235
0.8169
0.0040
0.0024
car
0.0408
0.0068
0.0012
0.0046
0.9277
0.0190
clutter
0.3802
0.2319
0.1004
0.0093
0.0025
0.2757
Precision/Correctness
0.932
0.965
0.825
0.940
0.962
0.625
Recall/Completeness
0.950
0.987
0.911
0.817
0.928
0.276
F1
0.941
0.976
0.865
0.874
0.944
0.383

Overall accuracy 0.922

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
0.9242
0.0147
0.0253
0.0255
0.0017
0.0086
building
0.0121
0.9759
0.0050
0.0034
0.0000
0.0035
low_veg
0.0798
0.0124
0.8159
0.0836
0.0001
0.0083
tree
0.0451
0.0061
0.1079
0.8373
0.0019
0.0017
car
0.1312
0.0007
0.0006
0.0105
0.8487
0.0084
clutter
0.2529
0.2496
0.1572
0.0165
0.0210
0.3028
Precision/Correctness
0.896
0.945
0.847
0.798
0.935
0.624
Recall/Completeness
0.924
0.976
0.816
0.837
0.849
0.303
F1
0.910
0.960
0.831
0.817
0.890
0.408

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
0.9441
0.0087
0.0211
0.0192
0.0002
0.0067
building
0.0082
0.9828
0.0034
0.0026
0.0000
0.0030
low_veg
0.0729
0.0072
0.8391
0.0743
0.0000
0.0064
tree
0.0306
0.0043
0.0949
0.8673
0.0015
0.0014
car
0.0314
0.0005
0.0001
0.0071
0.9520
0.0090
clutter
0.2163
0.2432
0.1474
0.0137
0.0265
0.3529
Precision/Correctness
0.923
0.964
0.873
0.828
0.957
0.653
Recall/Completeness
0.944
0.983
0.839
0.867
0.952
0.353
F1
0.933
0.973
0.856
0.847
0.955
0.458

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
0.9296
0.0075
0.0223
0.0278
0.0017
0.0111
building
0.0167
0.9752
0.0040
0.0021
0.0001
0.0020
low_veg
0.0876
0.0082
0.8140
0.0785
0.0001
0.0117
tree
0.0481
0.0048
0.0859
0.8524
0.0026
0.0062
car
0.1361
0.0124
0.0108
0.0205
0.8065
0.0137
clutter
0.2219
0.1967
0.1188
0.0465
0.0023
0.4138
Precision/Correctness
0.833
0.927
0.844
0.842
0.933
0.809
Recall/Completeness
0.930
0.975
0.814
0.852
0.806
0.414
F1
0.879
0.950
0.829
0.847
0.865
0.548

Overall accuracy 0.863

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
0.9499
0.0041
0.0149
0.0211
0.0002
0.0099
building
0.0145
0.9803
0.0022
0.0014
0.0000
0.0016
low_veg
0.0720
0.0039
0.8419
0.0722
0.0000
0.0100
tree
0.0376
0.0039
0.0764
0.8749
0.0018
0.0055
car
0.0359
0.0137
0.0107
0.0132
0.9112
0.0153
clutter
0.2077
0.1700
0.1058
0.0445
0.0023
0.4697
Precision/Correctness
0.864
0.948
0.871
0.867
0.964
0.835
Recall/Completeness
0.950
0.980
0.842
0.875
0.911
0.470
F1
0.905
0.964
0.856
0.871
0.937
0.601

Overall accuracy 0.889

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
0.9214
0.0124
0.0414
0.0177
0.0025
0.0046
building
0.0131
0.9699
0.0071
0.0053
0.0001
0.0046
low_veg
0.0491
0.0059
0.8112
0.1074
0.0001
0.0262
tree
0.0361
0.0044
0.0781
0.8775
0.0014
0.0025
car
0.1377
0.0084
0.0039
0.0169
0.8186
0.0146
clutter
0.1698
0.1384
0.0976
0.0167
0.0036
0.5739
Precision/Correctness
0.925
0.937
0.772
0.801
0.937
0.845
Recall/Completeness
0.921
0.970
0.811
0.878
0.819
0.574
F1
0.923
0.953
0.791
0.837
0.874
0.683

Overall accuracy 0.886

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
0.9402
0.0074
0.0354
0.0130
0.0006
0.0034
building
0.0084
0.9788
0.0052
0.0040
0.0000
0.0037
low_veg
0.0329
0.0015
0.8407
0.0995
0.0000
0.0254
tree
0.0260
0.0025
0.0680
0.9004
0.0010
0.0021
car
0.0396
0.0095
0.0009
0.0134
0.9195
0.0171
clutter
0.1552
0.1038
0.0841
0.0139
0.0034
0.6397
Precision/Correctness
0.948
0.960
0.800
0.832
0.971
0.867
Recall/Completeness
0.940
0.979
0.841
0.900
0.920
0.640
F1
0.944
0.969
0.820
0.865
0.945
0.736

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_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9396
0.0165
0.0209
0.0149
0.0012
0.0070
building
0.0300
0.9478
0.0161
0.0030
0.0000
0.0032
low_veg
0.0238
0.0055
0.9338
0.0348
0.0000
0.0021
tree
0.0804
0.0027
0.0791
0.8358
0.0009
0.0011
car
0.1227
0.0118
0.0003
0.0080
0.8435
0.0138
clutter
0.3160
0.0546
0.2988
0.0367
0.0059
0.2880
Precision/Correctness
0.921
0.962
0.890
0.866
0.938
0.584
Recall/Completeness
0.940
0.948
0.934
0.836
0.843
0.288
F1
0.930
0.955
0.911
0.851
0.888
0.386

Overall accuracy 0.913

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
0.9563
0.0131
0.0151
0.0095
0.0002
0.0059
building
0.0256
0.9572
0.0123
0.0024
0.0000
0.0025
low_veg
0.0152
0.0021
0.9528
0.0285
0.0000
0.0013
tree
0.0606
0.0016
0.0677
0.8687
0.0006
0.0008
car
0.0342
0.0153
0.0000
0.0052
0.9296
0.0157
clutter
0.2973
0.0548
0.3064
0.0340
0.0054
0.3021
Precision/Correctness
0.941
0.972
0.910
0.897
0.975
0.619
Recall/Completeness
0.956
0.957
0.953
0.869
0.930
0.302
F1
0.948
0.965
0.931
0.882
0.952
0.406

Overall accuracy 0.933

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
0.9532
0.0104
0.0158
0.0106
0.0047
0.0053
building
0.0336
0.9559
0.0050
0.0016
0.0004
0.0035
low_veg
0.0712
0.0118
0.8448
0.0610
0.0004
0.0107
tree
0.0454
0.0080
0.0781
0.8639
0.0041
0.0006
car
0.0985
0.0016
0.0017
0.0130
0.8792
0.0061
clutter
0.3190
0.2474
0.1255
0.0218
0.0098
0.2766
Precision/Correctness
0.912
0.959
0.878
0.846
0.913
0.561
Recall/Completeness
0.953
0.956
0.845
0.864
0.879
0.277
F1
0.932
0.957
0.861
0.855
0.896
0.370

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_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9714
0.0060
0.0103
0.0074
0.0005
0.0045
building
0.0296
0.9638
0.0028
0.0010
0.0001
0.0028
low_veg
0.0539
0.0047
0.8789
0.0536
0.0001
0.0088
tree
0.0334
0.0067
0.0655
0.8908
0.0030
0.0005
car
0.0199
0.0007
0.0010
0.0084
0.9635
0.0065
clutter
0.3078
0.2708
0.1050
0.0172
0.0102
0.2889
Precision/Correctness
0.933
0.970
0.908
0.877
0.969
0.592
Recall/Completeness
0.971
0.964
0.879
0.891
0.964
0.289
F1
0.952
0.967
0.893
0.884
0.967
0.388

Overall accuracy 0.933

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
0.9291
0.0088
0.0229
0.0092
0.0041
0.0259
building
0.0193
0.9203
0.0499
0.0033
0.0000
0.0073
low_veg
0.0742
0.0047
0.8340
0.0522
0.0006
0.0344
tree
0.0523
0.0053
0.1348
0.8004
0.0038
0.0034
car
0.1091
0.0035
0.0033
0.0176
0.8548
0.0117
clutter
0.1485
0.0229
0.1434
0.0061
0.0042
0.6748
Precision/Correctness
0.907
0.971
0.713
0.906
0.913
0.698
Recall/Completeness
0.929
0.920
0.834
0.800
0.855
0.675
F1
0.918
0.945
0.769
0.850
0.883
0.686

Overall accuracy 0.876

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
0.9478
0.0056
0.0159
0.0056
0.0006
0.0244
building
0.0139
0.9299
0.0480
0.0022
0.0000
0.0060
low_veg
0.0546
0.0016
0.8692
0.0419
0.0001
0.0327
tree
0.0409
0.0037
0.1190
0.8305
0.0030
0.0029
car
0.0280
0.0036
0.0007
0.0123
0.9431
0.0123
clutter
0.1399
0.0217
0.1327
0.0043
0.0041
0.6973
Precision/Correctness
0.932
0.981
0.734
0.934
0.961
0.721
Recall/Completeness
0.948
0.930
0.869
0.831
0.943
0.697
F1
0.940
0.955
0.796
0.879
0.952
0.709

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
0.9132
0.0348
0.0080
0.0310
0.0023
0.0106
building
0.0120
0.9562
0.0035
0.0025
0.0000
0.0259
low_veg
0.0599
0.0092
0.7390
0.1855
0.0002
0.0061
tree
0.0226
0.0052
0.0909
0.8785
0.0004
0.0025
car
0.0917
0.0247
0.0003
0.0366
0.8461
0.0005
clutter
0.2148
0.0179
0.0867
0.0032
0.0093
0.6682
Precision/Correctness
0.936
0.912
0.792
0.658
0.851
0.835
Recall/Completeness
0.913
0.956
0.739
0.878
0.846
0.668
F1
0.924
0.934
0.764
0.753
0.849
0.743

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: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9293
0.0314
0.0054
0.0231
0.0006
0.0103
building
0.0092
0.9614
0.0022
0.0015
0.0000
0.0256
low_veg
0.0479
0.0053
0.7656
0.1759
0.0000
0.0052
tree
0.0146
0.0035
0.0826
0.8967
0.0001
0.0026
car
0.0258
0.0319
0.0000
0.0273
0.9145
0.0005
clutter
0.2048
0.0165
0.0857
0.0027
0.0090
0.6813
Precision/Correctness
0.945
0.923
0.811
0.691
0.894
0.843
Recall/Completeness
0.929
0.961
0.766
0.897
0.914
0.681
F1
0.937
0.942
0.788
0.781
0.904
0.753

Overall accuracy 0.896

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image