Detailled semantic labeling (2D) result


Name B. Yu et al.
Affiliation Chinese Academy of Sciences, China
Abbreviation CAS_Y2
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
0.920
0.020
0.033
0.016
0.002
0.008
building
0.019
0.963
0.010
0.004
0.000
0.004
low_veg
0.044
0.011
0.875
0.061
0.000
0.009
tree
0.037
0.005
0.125
0.828
0.002
0.003
car
0.085
0.005
0.003
0.014
0.886
0.006
clutter
0.311
0.128
0.131
0.025
0.010
0.394
Precision/Correctness
0.890
0.937
0.821
0.874
0.916
0.748
Recall/Completeness
0.920
0.963
0.875
0.828
0.886
0.394
F1
0.905
0.950
0.847
0.850
0.901
0.516

Overall accuracy 0.880

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
0.939
0.016
0.027
0.011
0.000
0.007
building
0.015
0.971
0.008
0.003
0.000
0.004
low_veg
0.031
0.006
0.902
0.053
0.000
0.008
tree
0.027
0.004
0.110
0.855
0.002
0.003
car
0.012
0.006
0.002
0.009
0.965
0.007
clutter
0.310
0.115
0.112
0.021
0.011
0.431
Precision/Correctness
0.913
0.953
0.846
0.900
0.948
0.772
Recall/Completeness
0.939
0.971
0.902
0.855
0.965
0.431
F1
0.926
0.962
0.873
0.877
0.957
0.554

Overall accuracy 0.904
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9004
0.0244
0.0555
0.0091
0.0018
0.0088
building
0.0104
0.9554
0.0210
0.0085
0.0002
0.0044
low_veg
0.0307
0.0102
0.9146
0.0371
0.0002
0.0072
tree
0.0453
0.0109
0.1411
0.7965
0.0011
0.0051
car
0.0999
0.0164
0.0029
0.0049
0.8714
0.0044
clutter
0.1602
0.2442
0.1479
0.0272
0.0184
0.4021
Precision/Correctness
0.895
0.914
0.839
0.922
0.898
0.546
Recall/Completeness
0.900
0.955
0.915
0.797
0.871
0.402
F1
0.898
0.934
0.875
0.855
0.885
0.463

Overall accuracy 0.881

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
0.9217
0.0179
0.0469
0.0058
0.0002
0.0074
building
0.0067
0.9636
0.0179
0.0076
0.0002
0.0040
low_veg
0.0220
0.0058
0.9390
0.0268
0.0001
0.0063
tree
0.0356
0.0089
0.1202
0.8299
0.0007
0.0046
car
0.0223
0.0199
0.0010
0.0011
0.9518
0.0039
clutter
0.1225
0.2458
0.1021
0.0201
0.0237
0.4857
Precision/Correctness
0.925
0.939
0.865
0.945
0.934
0.553
Recall/Completeness
0.922
0.964
0.939
0.830
0.952
0.486
F1
0.924
0.951
0.900
0.884
0.943
0.517

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
0.8803
0.0261
0.0809
0.0090
0.0012
0.0025
building
0.0021
0.9818
0.0110
0.0038
0.0002
0.0012
low_veg
0.0166
0.0064
0.9442
0.0312
0.0000
0.0016
tree
0.0216
0.0036
0.1899
0.7834
0.0009
0.0006
car
0.0788
0.0167
0.0024
0.0116
0.8900
0.0006
clutter
0.1039
0.3846
0.2041
0.0443
0.0331
0.2300
Precision/Correctness
0.897
0.878
0.827
0.950
0.892
0.380
Recall/Completeness
0.880
0.982
0.944
0.783
0.890
0.230
F1
0.889
0.927
0.882
0.859
0.891
0.287

Overall accuracy 0.877

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
0.9107
0.0225
0.0595
0.0053
0.0001
0.0019
building
0.0004
0.9903
0.0061
0.0022
0.0001
0.0009
low_veg
0.0119
0.0040
0.9579
0.0248
0.0000
0.0014
tree
0.0172
0.0028
0.1724
0.8065
0.0006
0.0005
car
0.0047
0.0168
0.0001
0.0082
0.9701
0.0001
clutter
0.0574
0.4593
0.1486
0.0472
0.0346
0.2529
Precision/Correctness
0.923
0.905
0.847
0.962
0.931
0.371
Recall/Completeness
0.911
0.990
0.958
0.806
0.970
0.253
F1
0.917
0.946
0.899
0.878
0.950
0.301

Overall accuracy 0.897

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
0.8907
0.0205
0.0564
0.0177
0.0026
0.0121
building
0.0089
0.9796
0.0060
0.0032
0.0000
0.0023
low_veg
0.0496
0.0212
0.8648
0.0547
0.0001
0.0096
tree
0.0298
0.0068
0.0999
0.8592
0.0019
0.0024
car
0.0859
0.0060
0.0013
0.0162
0.8808
0.0098
clutter
0.2887
0.1684
0.2757
0.0230
0.0055
0.2388
Precision/Correctness
0.886
0.939
0.815
0.914
0.924
0.464
Recall/Completeness
0.891
0.980
0.865
0.859
0.881
0.239
F1
0.888
0.959
0.839
0.886
0.902
0.315

Overall accuracy 0.884

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
0.9166
0.0135
0.0472
0.0112
0.0002
0.0113
building
0.0061
0.9866
0.0035
0.0021
0.0000
0.0018
low_veg
0.0373
0.0115
0.8992
0.0436
0.0000
0.0083
tree
0.0217
0.0053
0.0827
0.8871
0.0013
0.0019
car
0.0109
0.0066
0.0003
0.0091
0.9634
0.0098
clutter
0.2947
0.1668
0.2511
0.0154
0.0063
0.2657
Precision/Correctness
0.917
0.961
0.846
0.939
0.965
0.460
Recall/Completeness
0.917
0.987
0.899
0.887
0.963
0.266
F1
0.917
0.974
0.872
0.912
0.964
0.337

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_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8790
0.0293
0.0650
0.0190
0.0026
0.0050
building
0.0103
0.9788
0.0063
0.0027
0.0000
0.0019
low_veg
0.0235
0.0126
0.9190
0.0409
0.0000
0.0040
tree
0.0217
0.0045
0.1932
0.7738
0.0014
0.0054
car
0.0804
0.0008
0.0021
0.0285
0.8803
0.0080
clutter
0.2132
0.1839
0.1988
0.0247
0.0063
0.3731
Precision/Correctness
0.895
0.929
0.778
0.923
0.906
0.737
Recall/Completeness
0.879
0.979
0.919
0.774
0.880
0.373
F1
0.887
0.954
0.843
0.842
0.893
0.495

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
0.9081
0.0235
0.0517
0.0127
0.0003
0.0036
building
0.0081
0.9851
0.0036
0.0017
0.0000
0.0015
low_veg
0.0132
0.0071
0.9457
0.0313
0.0000
0.0028
tree
0.0165
0.0034
0.1754
0.7989
0.0012
0.0046
car
0.0102
0.0004
0.0002
0.0188
0.9617
0.0086
clutter
0.2027
0.1764
0.1633
0.0203
0.0071
0.4302
Precision/Correctness
0.926
0.949
0.803
0.946
0.943
0.778
Recall/Completeness
0.908
0.985
0.946
0.799
0.962
0.430
F1
0.917
0.967
0.869
0.866
0.952
0.554

Overall accuracy 0.895

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
0.9394
0.0108
0.0240
0.0221
0.0013
0.0024
building
0.0190
0.9668
0.0062
0.0052
0.0000
0.0029
low_veg
0.0577
0.0070
0.8273
0.1033
0.0001
0.0046
tree
0.0334
0.0026
0.0451
0.9167
0.0014
0.0008
car
0.0894
0.0010
0.0019
0.0246
0.8816
0.0015
clutter
0.5219
0.1022
0.1425
0.0707
0.0140
0.1487
Precision/Correctness
0.835
0.965
0.829
0.803
0.926
0.801
Recall/Completeness
0.939
0.967
0.827
0.917
0.882
0.149
F1
0.884
0.966
0.828
0.856
0.903
0.251

Overall accuracy 0.874

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
0.9567
0.0075
0.0184
0.0155
0.0001
0.0017
building
0.0131
0.9784
0.0024
0.0036
0.0000
0.0024
low_veg
0.0430
0.0020
0.8590
0.0922
0.0000
0.0038
tree
0.0216
0.0015
0.0322
0.9434
0.0007
0.0005
car
0.0100
0.0005
0.0003
0.0160
0.9720
0.0012
clutter
0.5433
0.0866
0.1262
0.0632
0.0158
0.1649
Precision/Correctness
0.862
0.977
0.867
0.840
0.941
0.836
Recall/Completeness
0.957
0.978
0.859
0.943
0.972
0.165
F1
0.907
0.978
0.863
0.888
0.956
0.275

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_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8898
0.0187
0.0585
0.0136
0.0028
0.0167
building
0.0118
0.9700
0.0044
0.0070
0.0001
0.0067
low_veg
0.0809
0.0135
0.8110
0.0721
0.0003
0.0223
tree
0.0303
0.0031
0.1215
0.8345
0.0021
0.0086
car
0.0697
0.0035
0.0073
0.0208
0.8867
0.0120
clutter
0.5517
0.0464
0.1269
0.0130
0.0008
0.2612
Precision/Correctness
0.732
0.937
0.784
0.871
0.941
0.672
Recall/Completeness
0.890
0.970
0.811
0.835
0.887
0.261
F1
0.803
0.953
0.797
0.853
0.913
0.376

Overall accuracy 0.815

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
0.9078
0.0140
0.0539
0.0085
0.0002
0.0156
building
0.0084
0.9784
0.0018
0.0056
0.0001
0.0058
low_veg
0.0676
0.0086
0.8382
0.0639
0.0001
0.0216
tree
0.0216
0.0019
0.1028
0.8644
0.0015
0.0078
car
0.0126
0.0030
0.0074
0.0147
0.9503
0.0120
clutter
0.5708
0.0423
0.1099
0.0107
0.0006
0.2657
Precision/Correctness
0.744
0.953
0.808
0.896
0.976
0.696
Recall/Completeness
0.908
0.978
0.838
0.864
0.950
0.266
F1
0.818
0.966
0.823
0.880
0.963
0.384

Overall accuracy 0.835

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
0.9174
0.0406
0.0305
0.0056
0.0023
0.0035
building
0.0180
0.9675
0.0078
0.0041
0.0002
0.0025
low_veg
0.0645
0.0191
0.8746
0.0354
0.0004
0.0059
tree
0.0722
0.0058
0.1357
0.7770
0.0065
0.0029
car
0.0891
0.0065
0.0033
0.0081
0.8906
0.0023
clutter
0.3935
0.2335
0.1451
0.0171
0.0079
0.2030
Precision/Correctness
0.889
0.924
0.806
0.911
0.914
0.637
Recall/Completeness
0.917
0.967
0.875
0.777
0.891
0.203
F1
0.903
0.945
0.839
0.839
0.902
0.308

Overall accuracy 0.887

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
0.9322
0.0354
0.0260
0.0035
0.0003
0.0026
building
0.0153
0.9737
0.0055
0.0033
0.0002
0.0020
low_veg
0.0397
0.0105
0.9159
0.0293
0.0001
0.0046
tree
0.0540
0.0042
0.1140
0.8205
0.0048
0.0024
car
0.0100
0.0067
0.0004
0.0046
0.9764
0.0019
clutter
0.4102
0.2362
0.1204
0.0127
0.0073
0.2131
Precision/Correctness
0.919
0.940
0.836
0.935
0.951
0.662
Recall/Completeness
0.932
0.974
0.916
0.821
0.976
0.213
F1
0.926
0.957
0.874
0.874
0.963
0.322

Overall accuracy 0.913

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
0.9248
0.0155
0.0284
0.0241
0.0014
0.0057
building
0.0121
0.9752
0.0039
0.0041
0.0000
0.0048
low_veg
0.0600
0.0101
0.8401
0.0815
0.0000
0.0083
tree
0.0452
0.0038
0.1027
0.8442
0.0020
0.0021
car
0.1103
0.0028
0.0008
0.0085
0.8714
0.0062
clutter
0.2473
0.2593
0.1375
0.0172
0.0622
0.2764
Precision/Correctness
0.908
0.946
0.853
0.803
0.891
0.627
Recall/Completeness
0.925
0.975
0.840
0.844
0.871
0.276
F1
0.916
0.960
0.846
0.823
0.881
0.384

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
0.9435
0.0100
0.0233
0.0184
0.0002
0.0046
building
0.0080
0.9818
0.0025
0.0032
0.0000
0.0045
low_veg
0.0533
0.0052
0.8623
0.0726
0.0000
0.0066
tree
0.0305
0.0023
0.0885
0.8753
0.0015
0.0018
car
0.0183
0.0032
0.0000
0.0055
0.9661
0.0069
clutter
0.2068
0.2540
0.1257
0.0156
0.0790
0.3189
Precision/Correctness
0.935
0.963
0.881
0.832
0.902
0.641
Recall/Completeness
0.944
0.982
0.862
0.875
0.966
0.319
F1
0.939
0.973
0.871
0.853
0.933
0.426

Overall accuracy 0.916

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
0.9359
0.0114
0.0195
0.0244
0.0013
0.0074
building
0.0143
0.9768
0.0059
0.0019
0.0002
0.0009
low_veg
0.0651
0.0151
0.8219
0.0836
0.0002
0.0142
tree
0.0449
0.0051
0.0715
0.8711
0.0031
0.0044
car
0.0977
0.0106
0.0088
0.0170
0.8609
0.0050
clutter
0.2354
0.2135
0.1289
0.0604
0.0062
0.3556
Precision/Correctness
0.850
0.914
0.854
0.840
0.921
0.814
Recall/Completeness
0.936
0.977
0.822
0.871
0.861
0.356
F1
0.891
0.944
0.838
0.855
0.890
0.495

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
0.9542
0.0081
0.0130
0.0179
0.0002
0.0065
building
0.0121
0.9818
0.0040
0.0013
0.0001
0.0007
low_veg
0.0491
0.0108
0.8497
0.0768
0.0000
0.0135
tree
0.0340
0.0041
0.0625
0.8932
0.0022
0.0039
car
0.0105
0.0123
0.0089
0.0106
0.9524
0.0053
clutter
0.2204
0.1910
0.1185
0.0587
0.0064
0.4049
Precision/Correctness
0.881
0.934
0.879
0.865
0.943
0.834
Recall/Completeness
0.954
0.982
0.850
0.893
0.952
0.405
F1
0.916
0.957
0.864
0.879
0.947
0.545

Overall accuracy 0.892

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
0.9056
0.0317
0.0361
0.0185
0.0015
0.0066
building
0.0178
0.9640
0.0085
0.0058
0.0005
0.0035
low_veg
0.0504
0.0072
0.8072
0.1171
0.0001
0.0180
tree
0.0322
0.0031
0.0708
0.8891
0.0019
0.0029
car
0.1116
0.0030
0.0042
0.0131
0.8643
0.0038
clutter
0.3269
0.1994
0.1164
0.0144
0.0024
0.3405
Precision/Correctness
0.898
0.895
0.778
0.793
0.954
0.786
Recall/Completeness
0.906
0.964
0.807
0.889
0.864
0.340
F1
0.902
0.928
0.792
0.838
0.907
0.475

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_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9199
0.0281
0.0312
0.0139
0.0005
0.0064
building
0.0136
0.9717
0.0067
0.0044
0.0004
0.0031
low_veg
0.0313
0.0036
0.8373
0.1101
0.0000
0.0176
tree
0.0220
0.0015
0.0603
0.9125
0.0013
0.0024
car
0.0195
0.0027
0.0010
0.0107
0.9620
0.0041
clutter
0.3283
0.1774
0.1030
0.0120
0.0023
0.3770
Precision/Correctness
0.920
0.913
0.804
0.823
0.971
0.800
Recall/Completeness
0.920
0.972
0.837
0.912
0.962
0.377
F1
0.920
0.942
0.820
0.865
0.966
0.513

Overall accuracy 0.886

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
0.9479
0.0093
0.0216
0.0148
0.0010
0.0054
building
0.0368
0.9415
0.0149
0.0015
0.0001
0.0052
low_veg
0.0198
0.0074
0.9359
0.0358
0.0000
0.0010
tree
0.0649
0.0025
0.0755
0.8540
0.0013
0.0019
car
0.0814
0.0000
0.0004
0.0039
0.8978
0.0164
clutter
0.4346
0.0375
0.2103
0.0201
0.0208
0.2767
Precision/Correctness
0.920
0.973
0.898
0.873
0.919
0.590
Recall/Completeness
0.948
0.942
0.936
0.854
0.898
0.277
F1
0.934
0.957
0.917
0.863
0.908
0.377

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9641
0.0064
0.0167
0.0088
0.0001
0.0040
building
0.0327
0.9515
0.0106
0.0009
0.0001
0.0042
low_veg
0.0119
0.0047
0.9538
0.0291
0.0000
0.0005
tree
0.0469
0.0016
0.0634
0.8855
0.0010
0.0016
car
0.0080
0.0000
0.0001
0.0021
0.9734
0.0165
clutter
0.4483
0.0326
0.2004
0.0179
0.0217
0.2791
Precision/Correctness
0.937
0.982
0.919
0.905
0.946
0.627
Recall/Completeness
0.964
0.952
0.954
0.885
0.973
0.279
F1
0.950
0.967
0.936
0.895
0.960
0.386

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_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9532
0.0151
0.0155
0.0100
0.0038
0.0024
building
0.0390
0.9540
0.0045
0.0010
0.0004
0.0011
low_veg
0.0525
0.0068
0.8726
0.0645
0.0002
0.0034
tree
0.0514
0.0076
0.0729
0.8626
0.0049
0.0005
car
0.0639
0.0136
0.0011
0.0103
0.9074
0.0036
clutter
0.2885
0.2518
0.1480
0.0173
0.0157
0.2787
Precision/Correctness
0.918
0.954
0.883
0.846
0.920
0.767
Recall/Completeness
0.953
0.954
0.873
0.863
0.907
0.279
F1
0.935
0.954
0.878
0.854
0.914
0.409

Overall accuracy 0.915

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_6_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9686
0.0108
0.0112
0.0071
0.0003
0.0020
building
0.0346
0.9615
0.0023
0.0005
0.0002
0.0008
low_veg
0.0324
0.0016
0.9068
0.0569
0.0000
0.0023
tree
0.0389
0.0064
0.0611
0.8894
0.0037
0.0004
car
0.0055
0.0131
0.0002
0.0069
0.9705
0.0038
clutter
0.2658
0.2787
0.1293
0.0133
0.0144
0.2986
Precision/Correctness
0.938
0.964
0.909
0.876
0.967
0.803
Recall/Completeness
0.969
0.962
0.907
0.889
0.971
0.299
F1
0.953
0.963
0.908
0.883
0.969
0.435

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
0.9119
0.0228
0.0294
0.0119
0.0046
0.0194
building
0.0140
0.9375
0.0425
0.0028
0.0000
0.0032
low_veg
0.0414
0.0027
0.8675
0.0577
0.0011
0.0296
tree
0.0368
0.0042
0.1468
0.8044
0.0043
0.0034
car
0.0635
0.0004
0.0038
0.0138
0.9062
0.0123
clutter
0.1271
0.0415
0.1342
0.0101
0.0044
0.6827
Precision/Correctness
0.933
0.947
0.713
0.895
0.907
0.754
Recall/Completeness
0.912
0.938
0.868
0.804
0.906
0.683
F1
0.922
0.942
0.783
0.847
0.907
0.716

Overall accuracy 0.881

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
0.9303
0.0204
0.0229
0.0082
0.0004
0.0179
building
0.0090
0.9467
0.0397
0.0019
0.0000
0.0027
low_veg
0.0226
0.0008
0.8996
0.0486
0.0002
0.0283
tree
0.0272
0.0030
0.1307
0.8330
0.0034
0.0027
car
0.0089
0.0000
0.0004
0.0098
0.9682
0.0127
clutter
0.1191
0.0411
0.1193
0.0078
0.0040
0.7086
Precision/Correctness
0.954
0.955
0.734
0.921
0.963
0.777
Recall/Completeness
0.930
0.947
0.900
0.833
0.968
0.709
F1
0.942
0.951
0.808
0.875
0.965
0.741

Overall accuracy 0.903

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
0.9387
0.0138
0.0091
0.0244
0.0013
0.0127
building
0.0320
0.9380
0.0085
0.0026
0.0001
0.0189
low_veg
0.0569
0.0073
0.7480
0.1778
0.0002
0.0099
tree
0.0272
0.0025
0.0859
0.8830
0.0008
0.0007
car
0.0637
0.0031
0.0013
0.0205
0.9079
0.0035
clutter
0.1142
0.0137
0.0381
0.0021
0.0106
0.8213
Precision/Correctness
0.947
0.959
0.820
0.688
0.881
0.864
Recall/Completeness
0.939
0.938
0.748
0.883
0.908
0.821
F1
0.943
0.948
0.783
0.774
0.894
0.842

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: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9529
0.0106
0.0070
0.0176
0.0002
0.0118
building
0.0282
0.9444
0.0076
0.0017
0.0000
0.0181
low_veg
0.0405
0.0033
0.7779
0.1691
0.0001
0.0092
tree
0.0178
0.0008
0.0797
0.9009
0.0004
0.0003
car
0.0078
0.0032
0.0004
0.0125
0.9736
0.0026
clutter
0.1055
0.0127
0.0367
0.0015
0.0101
0.8335
Precision/Correctness
0.957
0.969
0.838
0.720
0.907
0.875
Recall/Completeness
0.953
0.944
0.778
0.901
0.974
0.833
F1
0.955
0.957
0.807
0.800
0.939
0.854

Overall accuracy 0.920

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image