Detailled semantic labeling (2D) result


Name G. Wu et al.
Affiliation BUCT, China
Abbreviation BUCT_3
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
0.010
0.038
0.015
0.002
0.007
building
0.022
0.955
0.011
0.004
0.000
0.008
low_veg
0.037
0.008
0.895
0.050
0.000
0.009
tree
0.037
0.004
0.125
0.829
0.002
0.002
car
0.078
0.003
0.002
0.014
0.892
0.011
clutter
0.277
0.107
0.212
0.021
0.007
0.376
Precision/Correctness
0.897
0.956
0.804
0.891
0.926
0.721
Recall/Completeness
0.928
0.955
0.895
0.829
0.892
0.376
F1
0.912
0.956
0.847
0.859
0.909
0.494

Overall accuracy 0.885

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
0.945
0.007
0.032
0.010
0.000
0.007
building
0.018
0.963
0.008
0.002
0.000
0.007
low_veg
0.026
0.005
0.918
0.042
0.000
0.009
tree
0.028
0.003
0.110
0.857
0.002
0.002
car
0.011
0.003
0.001
0.009
0.962
0.013
clutter
0.271
0.092
0.202
0.016
0.007
0.411
Precision/Correctness
0.919
0.970
0.828
0.917
0.956
0.735
Recall/Completeness
0.945
0.963
0.918
0.857
0.962
0.411
F1
0.932
0.967
0.871
0.886
0.959
0.527

Overall accuracy 0.906
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9080
0.0151
0.0476
0.0114
0.0018
0.0161
building
0.0129
0.9488
0.0265
0.0049
0.0000
0.0070
low_veg
0.0271
0.0162
0.8968
0.0396
0.0001
0.0202
tree
0.0362
0.0076
0.1309
0.8211
0.0010
0.0032
car
0.0866
0.0016
0.0007
0.0124
0.8585
0.0401
clutter
0.1396
0.1852
0.1583
0.0334
0.0089
0.4746
Precision/Correctness
0.908
0.926
0.844
0.920
0.918
0.421
Recall/Completeness
0.908
0.949
0.897
0.821
0.859
0.475
F1
0.908
0.937
0.870
0.868
0.887
0.446

Overall accuracy 0.883

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
0.9287
0.0104
0.0395
0.0070
0.0001
0.0143
building
0.0093
0.9583
0.0226
0.0034
0.0000
0.0064
low_veg
0.0196
0.0134
0.9182
0.0285
0.0001
0.0201
tree
0.0272
0.0061
0.1106
0.8530
0.0006
0.0025
car
0.0266
0.0016
0.0000
0.0070
0.9161
0.0487
clutter
0.1025
0.1936
0.1174
0.0230
0.0112
0.5523
Precision/Correctness
0.935
0.944
0.870
0.946
0.960
0.398
Recall/Completeness
0.929
0.958
0.918
0.853
0.916
0.552
F1
0.932
0.951
0.894
0.897
0.938
0.463

Overall accuracy 0.908

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
0.9068
0.0059
0.0735
0.0101
0.0012
0.0025
building
0.0090
0.9706
0.0111
0.0050
0.0000
0.0042
low_veg
0.0120
0.0028
0.9418
0.0311
0.0000
0.0123
tree
0.0161
0.0023
0.1664
0.8136
0.0007
0.0009
car
0.0729
0.0037
0.0002
0.0144
0.9078
0.0009
clutter
0.0704
0.3194
0.2026
0.0673
0.0054
0.3350
Precision/Correctness
0.921
0.943
0.844
0.950
0.924
0.165
Recall/Completeness
0.907
0.971
0.942
0.814
0.908
0.335
F1
0.914
0.956
0.890
0.877
0.916
0.221

Overall accuracy 0.891

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_2_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9323
0.0031
0.0571
0.0056
0.0000
0.0019
building
0.0065
0.9809
0.0060
0.0029
0.0000
0.0036
low_veg
0.0070
0.0011
0.9558
0.0235
0.0000
0.0126
tree
0.0120
0.0016
0.1496
0.8356
0.0004
0.0007
car
0.0163
0.0030
0.0000
0.0099
0.9705
0.0003
clutter
0.0382
0.3704
0.1594
0.0693
0.0037
0.3589
Precision/Correctness
0.946
0.965
0.862
0.965
0.964
0.132
Recall/Completeness
0.932
0.981
0.956
0.836
0.970
0.359
F1
0.939
0.973
0.907
0.896
0.967
0.193

Overall accuracy 0.909

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
0.9025
0.0174
0.0554
0.0145
0.0029
0.0073
building
0.0129
0.9727
0.0077
0.0042
0.0000
0.0025
low_veg
0.0546
0.0157
0.8753
0.0509
0.0001
0.0034
tree
0.0311
0.0060
0.0966
0.8624
0.0022
0.0018
car
0.0704
0.0037
0.0010
0.0164
0.8991
0.0094
clutter
0.3227
0.1594
0.2497
0.0277
0.0069
0.2336
Precision/Correctness
0.877
0.948
0.821
0.920
0.916
0.593
Recall/Completeness
0.903
0.973
0.875
0.862
0.899
0.234
F1
0.889
0.960
0.847
0.890
0.908
0.335

Overall accuracy 0.888

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
0.9264
0.0114
0.0471
0.0084
0.0001
0.0066
building
0.0102
0.9796
0.0053
0.0029
0.0000
0.0021
low_veg
0.0431
0.0068
0.9080
0.0395
0.0000
0.0025
tree
0.0226
0.0045
0.0796
0.8903
0.0016
0.0014
car
0.0079
0.0041
0.0007
0.0105
0.9662
0.0106
clutter
0.3408
0.1562
0.2168
0.0184
0.0075
0.2603
Precision/Correctness
0.906
0.968
0.850
0.945
0.961
0.599
Recall/Completeness
0.926
0.980
0.908
0.890
0.966
0.260
F1
0.916
0.974
0.878
0.917
0.964
0.363

Overall accuracy 0.916

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
0.8954
0.0172
0.0627
0.0180
0.0028
0.0040
building
0.0141
0.9769
0.0044
0.0027
0.0002
0.0017
low_veg
0.0254
0.0112
0.9184
0.0426
0.0000
0.0023
tree
0.0230
0.0029
0.1712
0.7995
0.0014
0.0020
car
0.0722
0.0003
0.0015
0.0286
0.8886
0.0089
clutter
0.2214
0.1970
0.1917
0.0361
0.0070
0.3467
Precision/Correctness
0.889
0.941
0.795
0.922
0.898
0.811
Recall/Completeness
0.895
0.977
0.918
0.799
0.889
0.347
F1
0.892
0.959
0.852
0.857
0.893
0.486

Overall accuracy 0.878

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
0.9241
0.0112
0.0497
0.0116
0.0003
0.0032
building
0.0123
0.9828
0.0016
0.0017
0.0002
0.0014
low_veg
0.0160
0.0060
0.9440
0.0323
0.0000
0.0016
tree
0.0176
0.0019
0.1540
0.8238
0.0012
0.0015
car
0.0140
0.0001
0.0007
0.0187
0.9569
0.0096
clutter
0.2158
0.1925
0.1532
0.0291
0.0083
0.4011
Precision/Correctness
0.917
0.960
0.821
0.946
0.935
0.843
Recall/Completeness
0.924
0.983
0.944
0.824
0.957
0.401
F1
0.920
0.971
0.878
0.881
0.946
0.544

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_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9424
0.0061
0.0312
0.0175
0.0009
0.0019
building
0.0147
0.9709
0.0076
0.0047
0.0000
0.0021
low_veg
0.0500
0.0052
0.8492
0.0939
0.0001
0.0017
tree
0.0314
0.0014
0.0485
0.9163
0.0021
0.0003
car
0.0806
0.0003
0.0005
0.0189
0.8971
0.0025
clutter
0.5228
0.0927
0.1876
0.0614
0.0103
0.1252
Precision/Correctness
0.843
0.973
0.799
0.824
0.939
0.841
Recall/Completeness
0.942
0.971
0.849
0.916
0.897
0.125
F1
0.890
0.972
0.824
0.868
0.918
0.218

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9579
0.0035
0.0252
0.0118
0.0001
0.0015
building
0.0093
0.9822
0.0034
0.0033
0.0000
0.0018
low_veg
0.0386
0.0013
0.8760
0.0828
0.0000
0.0013
tree
0.0187
0.0006
0.0357
0.9436
0.0014
0.0002
car
0.0077
0.0001
0.0000
0.0117
0.9780
0.0024
clutter
0.5446
0.0793
0.1743
0.0528
0.0114
0.1376
Precision/Correctness
0.868
0.982
0.835
0.859
0.952
0.860
Recall/Completeness
0.958
0.982
0.876
0.944
0.978
0.138
F1
0.911
0.982
0.855
0.899
0.965
0.237

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
0.8957
0.0181
0.0612
0.0100
0.0025
0.0125
building
0.0169
0.9696
0.0042
0.0057
0.0000
0.0036
low_veg
0.0682
0.0145
0.8559
0.0403
0.0001
0.0208
tree
0.0376
0.0055
0.1495
0.8015
0.0020
0.0039
car
0.0723
0.0039
0.0052
0.0204
0.8800
0.0182
clutter
0.3012
0.0418
0.2234
0.0085
0.0010
0.4241
Precision/Correctness
0.798
0.937
0.747
0.914
0.946
0.810
Recall/Completeness
0.896
0.970
0.856
0.801
0.880
0.424
F1
0.844
0.953
0.797
0.854
0.912
0.557

Overall accuracy 0.836

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
0.9117
0.0136
0.0561
0.0062
0.0002
0.0123
building
0.0136
0.9767
0.0022
0.0044
0.0000
0.0031
low_veg
0.0560
0.0091
0.8799
0.0329
0.0000
0.0220
tree
0.0287
0.0042
0.1291
0.8329
0.0015
0.0036
car
0.0136
0.0036
0.0058
0.0144
0.9427
0.0199
clutter
0.3035
0.0379
0.2085
0.0057
0.0006
0.4439
Precision/Correctness
0.816
0.953
0.766
0.937
0.977
0.821
Recall/Completeness
0.912
0.977
0.880
0.833
0.943
0.444
F1
0.861
0.965
0.819
0.882
0.960
0.576

Overall accuracy 0.857

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
0.9304
0.0116
0.0489
0.0042
0.0019
0.0029
building
0.0092
0.9703
0.0135
0.0026
0.0000
0.0044
low_veg
0.0526
0.0161
0.9037
0.0232
0.0002
0.0041
tree
0.0764
0.0052
0.1446
0.7633
0.0075
0.0031
car
0.0899
0.0030
0.0010
0.0061
0.8880
0.0119
clutter
0.2470
0.2125
0.2712
0.0152
0.0046
0.2495
Precision/Correctness
0.912
0.957
0.758
0.937
0.923
0.660
Recall/Completeness
0.930
0.970
0.904
0.763
0.888
0.249
F1
0.921
0.964
0.824
0.841
0.905
0.362

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_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9445
0.0070
0.0438
0.0025
0.0002
0.0021
building
0.0056
0.9772
0.0114
0.0018
0.0000
0.0040
low_veg
0.0327
0.0082
0.9383
0.0174
0.0000
0.0034
tree
0.0586
0.0036
0.1220
0.8074
0.0058
0.0026
car
0.0132
0.0034
0.0000
0.0031
0.9656
0.0147
clutter
0.2359
0.2114
0.2784
0.0119
0.0035
0.2589
Precision/Correctness
0.941
0.972
0.782
0.958
0.955
0.662
Recall/Completeness
0.944
0.977
0.938
0.807
0.966
0.259
F1
0.943
0.974
0.853
0.876
0.960
0.372

Overall accuracy 0.921

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
0.9338
0.0122
0.0333
0.0168
0.0012
0.0028
building
0.0154
0.9749
0.0056
0.0029
0.0000
0.0012
low_veg
0.0656
0.0088
0.8598
0.0623
0.0000
0.0034
tree
0.0540
0.0042
0.1131
0.8254
0.0024
0.0008
car
0.1003
0.0024
0.0005
0.0072
0.8754
0.0142
clutter
0.2696
0.2585
0.1845
0.0155
0.0300
0.2417
Precision/Correctness
0.899
0.950
0.834
0.843
0.931
0.766
Recall/Completeness
0.934
0.975
0.860
0.825
0.875
0.242
F1
0.916
0.962
0.847
0.834
0.902
0.367

Overall accuracy 0.894

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
0.9502
0.0073
0.0284
0.0118
0.0001
0.0020
building
0.0115
0.9814
0.0040
0.0021
0.0000
0.0010
low_veg
0.0582
0.0043
0.8810
0.0538
0.0000
0.0028
tree
0.0379
0.0028
0.0989
0.8579
0.0019
0.0006
car
0.0128
0.0027
0.0000
0.0047
0.9638
0.0160
clutter
0.2405
0.2538
0.1743
0.0125
0.0358
0.2830
Precision/Correctness
0.926
0.967
0.862
0.872
0.947
0.786
Recall/Completeness
0.950
0.981
0.881
0.858
0.964
0.283
F1
0.938
0.974
0.871
0.865
0.955
0.416

Overall accuracy 0.918

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
0.9368
0.0052
0.0272
0.0203
0.0010
0.0094
building
0.0349
0.9516
0.0069
0.0025
0.0001
0.0040
low_veg
0.0431
0.0041
0.8726
0.0707
0.0001
0.0093
tree
0.0509
0.0045
0.0857
0.8532
0.0036
0.0020
car
0.0993
0.0008
0.0092
0.0130
0.8552
0.0226
clutter
0.2184
0.1743
0.2352
0.0291
0.0048
0.3381
Precision/Correctness
0.849
0.937
0.813
0.866
0.928
0.801
Recall/Completeness
0.937
0.952
0.873
0.853
0.855
0.338
F1
0.891
0.944
0.842
0.860
0.890
0.475

Overall accuracy 0.866

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
0.9529
0.0032
0.0200
0.0147
0.0003
0.0088
building
0.0327
0.9575
0.0044
0.0019
0.0001
0.0034
low_veg
0.0286
0.0017
0.8959
0.0652
0.0000
0.0087
tree
0.0396
0.0036
0.0751
0.8771
0.0027
0.0018
car
0.0140
0.0008
0.0100
0.0077
0.9431
0.0244
clutter
0.2042
0.1500
0.2322
0.0254
0.0050
0.3832
Precision/Correctness
0.877
0.955
0.836
0.889
0.942
0.819
Recall/Completeness
0.953
0.958
0.896
0.877
0.943
0.383
F1
0.913
0.956
0.865
0.883
0.943
0.522

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_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9253
0.0090
0.0450
0.0147
0.0011
0.0048
building
0.0264
0.9434
0.0136
0.0055
0.0002
0.0109
low_veg
0.0339
0.0041
0.8641
0.0871
0.0001
0.0107
tree
0.0366
0.0027
0.0720
0.8856
0.0022
0.0009
car
0.1079
0.0002
0.0012
0.0127
0.8687
0.0093
clutter
0.3209
0.1229
0.1484
0.0154
0.0025
0.3899
Precision/Correctness
0.900
0.947
0.755
0.830
0.960
0.808
Recall/Completeness
0.925
0.943
0.864
0.886
0.869
0.390
F1
0.913
0.945
0.806
0.857
0.912
0.526

Overall accuracy 0.878

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
0.9383
0.0063
0.0403
0.0106
0.0004
0.0041
building
0.0209
0.9529
0.0118
0.0039
0.0002
0.0102
low_veg
0.0183
0.0011
0.8911
0.0789
0.0000
0.0106
tree
0.0253
0.0014
0.0614
0.9093
0.0018
0.0008
car
0.0202
0.0001
0.0000
0.0100
0.9595
0.0102
clutter
0.3221
0.0949
0.1374
0.0129
0.0024
0.4302
Precision/Correctness
0.921
0.964
0.776
0.860
0.972
0.823
Recall/Completeness
0.938
0.953
0.891
0.909
0.959
0.430
F1
0.930
0.959
0.830
0.884
0.966
0.565

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
0.9475
0.0057
0.0227
0.0149
0.0012
0.0081
building
0.0420
0.9234
0.0179
0.0012
0.0000
0.0154
low_veg
0.0161
0.0029
0.9550
0.0253
0.0000
0.0006
tree
0.0632
0.0025
0.0908
0.8416
0.0014
0.0004
car
0.0603
0.0156
0.0005
0.0047
0.9178
0.0011
clutter
0.3119
0.0679
0.3089
0.0268
0.0044
0.2801
Precision/Correctness
0.926
0.979
0.883
0.889
0.940
0.452
Recall/Completeness
0.948
0.923
0.955
0.842
0.918
0.280
F1
0.937
0.951
0.917
0.865
0.929
0.346

Overall accuracy 0.917

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
0.9621
0.0038
0.0182
0.0092
0.0001
0.0067
building
0.0377
0.9335
0.0135
0.0006
0.0000
0.0147
low_veg
0.0091
0.0014
0.9691
0.0199
0.0000
0.0004
tree
0.0457
0.0017
0.0779
0.8734
0.0010
0.0003
car
0.0055
0.0195
0.0003
0.0034
0.9702
0.0012
clutter
0.3088
0.0716
0.3037
0.0246
0.0030
0.2883
Precision/Correctness
0.942
0.985
0.902
0.920
0.980
0.454
Recall/Completeness
0.962
0.933
0.969
0.873
0.970
0.288
F1
0.952
0.959
0.934
0.896
0.975
0.353

Overall accuracy 0.934

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
0.9588
0.0068
0.0206
0.0082
0.0036
0.0020
building
0.0446
0.9333
0.0117
0.0020
0.0002
0.0082
low_veg
0.0358
0.0033
0.8992
0.0583
0.0002
0.0032
tree
0.0459
0.0036
0.0821
0.8625
0.0049
0.0010
car
0.0523
0.0008
0.0008
0.0109
0.9268
0.0084
clutter
0.2543
0.0860
0.2523
0.0174
0.0182
0.3718
Precision/Correctness
0.924
0.981
0.846
0.858
0.924
0.677
Recall/Completeness
0.959
0.933
0.899
0.862
0.927
0.372
F1
0.941
0.956
0.872
0.860
0.925
0.480

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
0.9719
0.0051
0.0158
0.0056
0.0001
0.0016
building
0.0389
0.9433
0.0087
0.0013
0.0001
0.0077
low_veg
0.0214
0.0007
0.9241
0.0514
0.0000
0.0023
tree
0.0333
0.0028
0.0692
0.8900
0.0037
0.0009
car
0.0051
0.0004
0.0002
0.0072
0.9782
0.0090
clutter
0.2327
0.0884
0.2414
0.0122
0.0175
0.4078
Precision/Correctness
0.942
0.986
0.870
0.887
0.968
0.696
Recall/Completeness
0.972
0.943
0.924
0.890
0.978
0.408
F1
0.957
0.964
0.896
0.889
0.973
0.514

Overall accuracy 0.936

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
0.9371
0.0052
0.0365
0.0066
0.0034
0.0113
building
0.0201
0.9503
0.0206
0.0023
0.0009
0.0057
low_veg
0.0346
0.0017
0.9109
0.0339
0.0006
0.0183
tree
0.0495
0.0043
0.1686
0.7704
0.0046
0.0027
car
0.0673
0.0057
0.0026
0.0114
0.9072
0.0058
clutter
0.1589
0.0435
0.2714
0.0060
0.0077
0.5126
Precision/Correctness
0.924
0.975
0.689
0.932
0.910
0.775
Recall/Completeness
0.937
0.950
0.911
0.770
0.907
0.513
F1
0.931
0.962
0.785
0.843
0.909
0.617

Overall accuracy 0.884

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
0.9534
0.0034
0.0287
0.0038
0.0001
0.0105
building
0.0153
0.9593
0.0175
0.0016
0.0009
0.0054
low_veg
0.0196
0.0003
0.9366
0.0254
0.0000
0.0180
tree
0.0398
0.0030
0.1505
0.8008
0.0036
0.0023
car
0.0079
0.0065
0.0003
0.0074
0.9718
0.0061
clutter
0.1516
0.0431
0.2647
0.0041
0.0073
0.5293
Precision/Correctness
0.943
0.981
0.707
0.955
0.950
0.791
Recall/Completeness
0.953
0.959
0.937
0.801
0.972
0.529
F1
0.948
0.970
0.806
0.871
0.961
0.634

Overall accuracy 0.904

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
0.9244
0.0109
0.0186
0.0294
0.0016
0.0151
building
0.0238
0.9210
0.0083
0.0050
0.0001
0.0419
low_veg
0.0406
0.0054
0.8032
0.1413
0.0001
0.0093
tree
0.0176
0.0027
0.0985
0.8737
0.0005
0.0070
car
0.0434
0.0004
0.0002
0.0290
0.9207
0.0062
clutter
0.2091
0.0171
0.1782
0.0036
0.0088
0.5831
Precision/Correctness
0.938
0.964
0.700
0.689
0.884
0.741
Recall/Completeness
0.924
0.921
0.803
0.874
0.921
0.583
F1
0.931
0.942
0.748
0.770
0.902
0.653

Overall accuracy 0.877

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
0.9391
0.0076
0.0161
0.0223
0.0003
0.0146
building
0.0210
0.9264
0.0068
0.0039
0.0001
0.0418
low_veg
0.0295
0.0021
0.8284
0.1309
0.0000
0.0091
tree
0.0098
0.0014
0.0920
0.8890
0.0002
0.0075
car
0.0024
0.0004
0.0000
0.0207
0.9702
0.0063
clutter
0.2006
0.0160
0.1781
0.0031
0.0083
0.5939
Precision/Correctness
0.946
0.974
0.709
0.722
0.917
0.748
Recall/Completeness
0.939
0.926
0.828
0.889
0.970
0.594
F1
0.942
0.950
0.764
0.797
0.943
0.662

Overall accuracy 0.891

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image