Detailled semantic labeling (2D) result


Name L. Yang et al.
Affiliation BUCT, China
Abbreviation BUCTY3
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
0.949
0.013
0.026
0.009
0.001
0.002
building
0.017
0.975
0.004
0.002
0.000
0.001
low_veg
0.076
0.013
0.874
0.033
0.000
0.004
tree
0.063
0.007
0.166
0.761
0.003
0.001
car
0.104
0.003
0.000
0.009
0.874
0.009
clutter
0.443
0.145
0.146
0.018
0.008
0.241
Precision/Correctness
0.849
0.941
0.806
0.921
0.932
0.838
Recall/Completeness
0.949
0.975
0.874
0.761
0.874
0.241
F1
0.896
0.958
0.839
0.833
0.902
0.374

Overall accuracy 0.873

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
0.961
0.009
0.022
0.006
0.000
0.002
building
0.013
0.982
0.003
0.002
0.000
0.001
low_veg
0.061
0.008
0.900
0.027
0.000
0.004
tree
0.050
0.005
0.149
0.793
0.002
0.001
car
0.018
0.003
0.000
0.006
0.962
0.011
clutter
0.441
0.131
0.137
0.015
0.009
0.267
Precision/Correctness
0.875
0.956
0.827
0.940
0.951
0.848
Recall/Completeness
0.961
0.982
0.900
0.793
0.962
0.267
F1
0.916
0.969
0.862
0.861
0.956
0.406

Overall accuracy 0.895
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9404
0.0161
0.0357
0.0056
0.0012
0.0010
building
0.0102
0.9785
0.0054
0.0046
0.0001
0.0013
low_veg
0.0485
0.0330
0.8920
0.0236
0.0002
0.0027
tree
0.0551
0.0120
0.1684
0.7617
0.0013
0.0015
car
0.1155
0.0021
0.0001
0.0053
0.8453
0.0318
clutter
0.2751
0.2248
0.1321
0.0259
0.0094
0.3326
Precision/Correctness
0.865
0.895
0.840
0.947
0.920
0.760
Recall/Completeness
0.940
0.978
0.892
0.762
0.845
0.333
F1
0.901
0.935
0.865
0.844
0.881
0.463

Overall accuracy 0.878

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
0.9550
0.0111
0.0299
0.0033
0.0001
0.0005
building
0.0063
0.9857
0.0029
0.0038
0.0001
0.0012
low_veg
0.0381
0.0308
0.9116
0.0169
0.0001
0.0024
tree
0.0435
0.0102
0.1450
0.7992
0.0009
0.0012
car
0.0466
0.0017
0.0000
0.0023
0.9089
0.0405
clutter
0.2241
0.2270
0.0966
0.0198
0.0117
0.4208
Precision/Correctness
0.898
0.914
0.865
0.964
0.951
0.774
Recall/Completeness
0.955
0.986
0.912
0.799
0.909
0.421
F1
0.926
0.949
0.888
0.874
0.930
0.545

Overall accuracy 0.903

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
0.9388
0.0062
0.0501
0.0041
0.0006
0.0001
building
0.0043
0.9881
0.0052
0.0020
0.0000
0.0004
low_veg
0.0701
0.0037
0.9090
0.0162
0.0000
0.0009
tree
0.0440
0.0048
0.2207
0.7293
0.0008
0.0003
car
0.1029
0.0009
0.0000
0.0060
0.8902
0.0000
clutter
0.1900
0.3738
0.1604
0.0423
0.0081
0.2253
Precision/Correctness
0.758
0.925
0.812
0.971
0.927
0.608
Recall/Completeness
0.939
0.988
0.909
0.729
0.890
0.225
F1
0.839
0.955
0.858
0.833
0.908
0.329

Overall accuracy 0.853

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
0.9541
0.0030
0.0408
0.0020
0.0000
0.0001
building
0.0019
0.9938
0.0028
0.0011
0.0000
0.0004
low_veg
0.0637
0.0014
0.9220
0.0120
0.0000
0.0008
tree
0.0382
0.0039
0.2030
0.7542
0.0006
0.0003
car
0.0315
0.0002
0.0000
0.0034
0.9650
0.0000
clutter
0.1205
0.4308
0.1306
0.0475
0.0081
0.2626
Precision/Correctness
0.777
0.951
0.827
0.980
0.951
0.586
Recall/Completeness
0.954
0.994
0.922
0.754
0.965
0.263
F1
0.856
0.972
0.872
0.852
0.958
0.363

Overall accuracy 0.870

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
0.9456
0.0201
0.0252
0.0071
0.0017
0.0004
building
0.0071
0.9883
0.0020
0.0024
0.0000
0.0001
low_veg
0.0910
0.0208
0.8604
0.0271
0.0000
0.0006
tree
0.0584
0.0093
0.1387
0.7908
0.0024
0.0004
car
0.0981
0.0055
0.0001
0.0093
0.8818
0.0052
clutter
0.4971
0.1813
0.1957
0.0124
0.0056
0.1079
Precision/Correctness
0.827
0.937
0.820
0.952
0.931
0.848
Recall/Completeness
0.946
0.988
0.860
0.791
0.882
0.108
F1
0.882
0.962
0.840
0.864
0.906
0.191

Overall accuracy 0.880

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
0.9632
0.0134
0.0189
0.0041
0.0001
0.0003
building
0.0046
0.9930
0.0006
0.0017
0.0000
0.0001
low_veg
0.0751
0.0100
0.8945
0.0200
0.0000
0.0005
tree
0.0461
0.0074
0.1196
0.8248
0.0018
0.0003
car
0.0152
0.0060
0.0000
0.0056
0.9668
0.0064
clutter
0.5258
0.1756
0.1637
0.0065
0.0066
0.1218
Precision/Correctness
0.861
0.960
0.848
0.969
0.959
0.865
Recall/Completeness
0.963
0.993
0.894
0.825
0.967
0.122
F1
0.909
0.976
0.871
0.891
0.963
0.213

Overall accuracy 0.907

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
0.9281
0.0173
0.0419
0.0091
0.0020
0.0016
building
0.0113
0.9835
0.0028
0.0018
0.0000
0.0005
low_veg
0.0503
0.0110
0.9140
0.0238
0.0000
0.0009
tree
0.0404
0.0041
0.2235
0.7290
0.0015
0.0015
car
0.0963
0.0044
0.0007
0.0203
0.8714
0.0070
clutter
0.3379
0.2231
0.1445
0.0278
0.0053
0.2614
Precision/Correctness
0.837
0.937
0.776
0.950
0.913
0.874
Recall/Completeness
0.928
0.984
0.914
0.729
0.871
0.261
F1
0.880
0.960
0.839
0.825
0.892
0.402

Overall accuracy 0.864

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
0.9490
0.0108
0.0326
0.0055
0.0006
0.0015
building
0.0090
0.9882
0.0013
0.0011
0.0000
0.0005
low_veg
0.0356
0.0046
0.9420
0.0172
0.0000
0.0006
tree
0.0328
0.0030
0.2049
0.7571
0.0013
0.0010
car
0.0194
0.0044
0.0002
0.0137
0.9535
0.0087
clutter
0.3193
0.2212
0.1163
0.0240
0.0062
0.3130
Precision/Correctness
0.873
0.958
0.797
0.967
0.938
0.894
Recall/Completeness
0.949
0.988
0.942
0.757
0.953
0.313
F1
0.909
0.973
0.864
0.849
0.945
0.464

Overall accuracy 0.890

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
0.9625
0.0056
0.0197
0.0114
0.0004
0.0003
building
0.0155
0.9761
0.0042
0.0037
0.0001
0.0003
low_veg
0.0716
0.0074
0.8568
0.0638
0.0000
0.0004
tree
0.0574
0.0022
0.0705
0.8678
0.0020
0.0001
car
0.1133
0.0001
0.0002
0.0137
0.8710
0.0017
clutter
0.6691
0.1178
0.1142
0.0450
0.0060
0.0480
Precision/Correctness
0.805
0.967
0.837
0.865
0.958
0.912
Recall/Completeness
0.963
0.976
0.857
0.868
0.871
0.048
F1
0.877
0.972
0.847
0.867
0.912
0.091

Overall accuracy 0.876

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
0.9727
0.0033
0.0159
0.0077
0.0001
0.0003
building
0.0098
0.9852
0.0021
0.0026
0.0001
0.0003
low_veg
0.0530
0.0019
0.8896
0.0551
0.0000
0.0004
tree
0.0382
0.0010
0.0554
0.9040
0.0013
0.0001
car
0.0106
0.0000
0.0000
0.0079
0.9796
0.0019
clutter
0.6971
0.1050
0.0988
0.0383
0.0066
0.0541
Precision/Correctness
0.835
0.978
0.869
0.896
0.966
0.917
Recall/Completeness
0.973
0.985
0.890
0.904
0.980
0.054
F1
0.899
0.982
0.879
0.900
0.973
0.102

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
0.9051
0.0286
0.0471
0.0067
0.0015
0.0110
building
0.0099
0.9813
0.0028
0.0043
0.0000
0.0017
low_veg
0.1105
0.0209
0.8108
0.0403
0.0001
0.0174
tree
0.0611
0.0048
0.1716
0.7557
0.0030
0.0039
car
0.1011
0.0049
0.0001
0.0116
0.8645
0.0178
clutter
0.5214
0.0994
0.1511
0.0082
0.0008
0.2191
Precision/Correctness
0.713
0.896
0.757
0.917
0.949
0.724
Recall/Completeness
0.905
0.981
0.811
0.756
0.864
0.219
F1
0.798
0.937
0.783
0.828
0.905
0.336

Overall accuracy 0.801

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
0.9152
0.0241
0.0448
0.0043
0.0002
0.0114
building
0.0068
0.9869
0.0014
0.0032
0.0000
0.0017
low_veg
0.0923
0.0147
0.8400
0.0346
0.0000
0.0184
tree
0.0493
0.0033
0.1516
0.7898
0.0024
0.0035
car
0.0203
0.0046
0.0000
0.0079
0.9463
0.0209
clutter
0.5277
0.0962
0.1419
0.0062
0.0006
0.2274
Precision/Correctness
0.731
0.914
0.775
0.936
0.969
0.731
Recall/Completeness
0.915
0.987
0.840
0.790
0.946
0.227
F1
0.813
0.949
0.806
0.857
0.958
0.347

Overall accuracy 0.821

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
0.9422
0.0156
0.0375
0.0021
0.0010
0.0015
building
0.0049
0.9864
0.0077
0.0009
0.0000
0.0001
low_veg
0.0859
0.0235
0.8763
0.0130
0.0002
0.0011
tree
0.1132
0.0094
0.1894
0.6787
0.0077
0.0016
car
0.1155
0.0025
0.0008
0.0025
0.8658
0.0128
clutter
0.4745
0.2656
0.1053
0.0094
0.0040
0.1412
Precision/Correctness
0.874
0.944
0.771
0.962
0.933
0.768
Recall/Completeness
0.942
0.986
0.876
0.679
0.866
0.141
F1
0.907
0.965
0.821
0.796
0.898
0.239

Overall accuracy 0.886

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
0.9529
0.0096
0.0347
0.0013
0.0002
0.0014
building
0.0024
0.9905
0.0066
0.0005
0.0000
0.0001
low_veg
0.0574
0.0132
0.9184
0.0101
0.0000
0.0009
tree
0.0916
0.0075
0.1677
0.7259
0.0060
0.0013
car
0.0177
0.0026
0.0001
0.0012
0.9615
0.0169
clutter
0.4796
0.2682
0.0892
0.0075
0.0037
0.1519
Precision/Correctness
0.908
0.962
0.793
0.975
0.952
0.766
Recall/Completeness
0.953
0.991
0.918
0.726
0.961
0.152
F1
0.930
0.976
0.851
0.832
0.957
0.253

Overall accuracy 0.912

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
0.9522
0.0117
0.0239
0.0106
0.0008
0.0007
building
0.0118
0.9824
0.0032
0.0024
0.0000
0.0002
low_veg
0.0973
0.0104
0.8456
0.0458
0.0000
0.0008
tree
0.0776
0.0046
0.1631
0.7514
0.0027
0.0006
car
0.1199
0.0007
0.0001
0.0050
0.8647
0.0096
clutter
0.3859
0.2776
0.1304
0.0096
0.0470
0.1495
Precision/Correctness
0.871
0.948
0.829
0.874
0.913
0.862
Recall/Completeness
0.952
0.982
0.846
0.751
0.865
0.150
F1
0.910
0.965
0.837
0.808
0.888
0.255

Overall accuracy 0.887

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
0.9647
0.0066
0.0208
0.0072
0.0001
0.0006
building
0.0074
0.9887
0.0020
0.0018
0.0000
0.0002
low_veg
0.0873
0.0054
0.8670
0.0396
0.0000
0.0007
tree
0.0574
0.0029
0.1494
0.7877
0.0021
0.0005
car
0.0182
0.0005
0.0000
0.0033
0.9666
0.0114
clutter
0.3589
0.2689
0.1219
0.0080
0.0597
0.1825
Precision/Correctness
0.901
0.966
0.852
0.899
0.921
0.872
Recall/Completeness
0.965
0.989
0.867
0.788
0.967
0.183
F1
0.932
0.977
0.860
0.840
0.943
0.302

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
0.9592
0.0050
0.0156
0.0133
0.0005
0.0065
building
0.0176
0.9775
0.0033
0.0012
0.0001
0.0003
low_veg
0.1048
0.0084
0.8339
0.0461
0.0001
0.0067
tree
0.0791
0.0058
0.1239
0.7851
0.0041
0.0020
car
0.1383
0.0075
0.0007
0.0095
0.8323
0.0117
clutter
0.3607
0.2085
0.1332
0.0377
0.0036
0.2563
Precision/Correctness
0.788
0.926
0.825
0.894
0.935
0.834
Recall/Completeness
0.959
0.978
0.834
0.785
0.832
0.256
F1
0.865
0.951
0.829
0.836
0.881
0.392

Overall accuracy 0.852

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
0.9700
0.0024
0.0112
0.0098
0.0002
0.0064
building
0.0148
0.9821
0.0019
0.0008
0.0000
0.0003
low_veg
0.0853
0.0046
0.8612
0.0422
0.0000
0.0067
tree
0.0645
0.0048
0.1132
0.8128
0.0032
0.0017
car
0.0275
0.0077
0.0001
0.0062
0.9449
0.0136
clutter
0.3543
0.1821
0.1287
0.0377
0.0036
0.2935
Precision/Correctness
0.819
0.946
0.844
0.911
0.946
0.844
Recall/Completeness
0.970
0.982
0.861
0.813
0.945
0.293
F1
0.888
0.964
0.853
0.859
0.946
0.436

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: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9462
0.0073
0.0352
0.0097
0.0007
0.0008
building
0.0161
0.9748
0.0045
0.0032
0.0002
0.0013
low_veg
0.0708
0.0069
0.8494
0.0645
0.0001
0.0083
tree
0.0597
0.0042
0.1068
0.8262
0.0024
0.0008
car
0.1372
0.0008
0.0006
0.0093
0.8426
0.0094
clutter
0.4845
0.1314
0.0948
0.0121
0.0058
0.2714
Precision/Correctness
0.866
0.947
0.780
0.865
0.956
0.898
Recall/Completeness
0.946
0.975
0.849
0.826
0.843
0.271
F1
0.904
0.960
0.813
0.845
0.896
0.417

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
0.9559
0.0043
0.0316
0.0070
0.0005
0.0008
building
0.0115
0.9819
0.0030
0.0022
0.0001
0.0012
low_veg
0.0492
0.0022
0.8810
0.0595
0.0000
0.0081
tree
0.0446
0.0024
0.0931
0.8574
0.0018
0.0007
car
0.0250
0.0008
0.0000
0.0077
0.9551
0.0114
clutter
0.4951
0.0964
0.0872
0.0103
0.0057
0.3053
Precision/Correctness
0.889
0.967
0.801
0.889
0.962
0.907
Recall/Completeness
0.956
0.982
0.881
0.857
0.955
0.305
F1
0.921
0.974
0.839
0.873
0.959
0.457

Overall accuracy 0.898

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
0.9685
0.0068
0.0132
0.0090
0.0007
0.0019
building
0.0402
0.9458
0.0105
0.0008
0.0002
0.0026
low_veg
0.0352
0.0042
0.9464
0.0140
0.0000
0.0001
tree
0.1031
0.0028
0.1314
0.7605
0.0018
0.0004
car
0.0838
0.0019
0.0000
0.0017
0.8996
0.0131
clutter
0.4449
0.0666
0.3513
0.0162
0.0067
0.1143
Precision/Correctness
0.900
0.977
0.881
0.926
0.944
0.599
Recall/Completeness
0.968
0.946
0.946
0.760
0.900
0.114
F1
0.933
0.961
0.912
0.835
0.921
0.192

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9771
0.0047
0.0108
0.0055
0.0001
0.0017
building
0.0344
0.9543
0.0082
0.0004
0.0002
0.0025
low_veg
0.0237
0.0022
0.9634
0.0106
0.0000
0.0001
tree
0.0792
0.0020
0.1182
0.7989
0.0015
0.0003
car
0.0083
0.0022
0.0000
0.0006
0.9725
0.0164
clutter
0.4326
0.0639
0.3656
0.0152
0.0063
0.1164
Precision/Correctness
0.922
0.984
0.896
0.949
0.963
0.587
Recall/Completeness
0.977
0.954
0.963
0.799
0.973
0.116
F1
0.949
0.969
0.928
0.868
0.968
0.194

Overall accuracy 0.932

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
0.9765
0.0033
0.0123
0.0053
0.0022
0.0003
building
0.0429
0.9534
0.0022
0.0009
0.0001
0.0005
low_veg
0.0923
0.0078
0.8618
0.0375
0.0001
0.0004
tree
0.0716
0.0087
0.1095
0.8046
0.0054
0.0001
car
0.0701
0.0001
0.0002
0.0067
0.9199
0.0030
clutter
0.4496
0.1641
0.1713
0.0116
0.0237
0.1797
Precision/Correctness
0.891
0.976
0.870
0.899
0.936
0.908
Recall/Completeness
0.977
0.953
0.862
0.805
0.920
0.180
F1
0.932
0.964
0.866
0.849
0.928
0.300

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
0.9849
0.0013
0.0098
0.0037
0.0001
0.0003
building
0.0373
0.9607
0.0010
0.0005
0.0000
0.0004
low_veg
0.0681
0.0031
0.8962
0.0324
0.0000
0.0002
tree
0.0552
0.0075
0.0940
0.8392
0.0040
0.0001
car
0.0057
0.0000
0.0000
0.0045
0.9864
0.0034
clutter
0.4304
0.1757
0.1612
0.0089
0.0233
0.2004
Precision/Correctness
0.915
0.983
0.891
0.922
0.964
0.918
Recall/Completeness
0.985
0.961
0.896
0.839
0.986
0.200
F1
0.949
0.972
0.893
0.878
0.975
0.329

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_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9518
0.0073
0.0271
0.0041
0.0023
0.0074
building
0.0162
0.9728
0.0075
0.0011
0.0017
0.0007
low_veg
0.1043
0.0043
0.8539
0.0217
0.0004
0.0155
tree
0.0743
0.0119
0.1976
0.7112
0.0041
0.0009
car
0.0916
0.0038
0.0012
0.0113
0.8860
0.0061
clutter
0.3490
0.0513
0.1306
0.0116
0.0119
0.4455
Precision/Correctness
0.868
0.964
0.715
0.948
0.910
0.826
Recall/Completeness
0.952
0.973
0.854
0.711
0.886
0.446
F1
0.908
0.968
0.778
0.813
0.898
0.579

Overall accuracy 0.873

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
0.9617
0.0050
0.0235
0.0023
0.0001
0.0074
building
0.0114
0.9801
0.0058
0.0006
0.0017
0.0005
low_veg
0.0812
0.0016
0.8855
0.0162
0.0000
0.0155
tree
0.0602
0.0107
0.1799
0.7452
0.0032
0.0007
car
0.0152
0.0038
0.0001
0.0080
0.9650
0.0079
clutter
0.3406
0.0506
0.1202
0.0102
0.0118
0.4666
Precision/Correctness
0.892
0.972
0.732
0.966
0.936
0.838
Recall/Completeness
0.962
0.980
0.886
0.745
0.965
0.467
F1
0.926
0.976
0.801
0.841
0.950
0.599

Overall accuracy 0.892

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
0.9416
0.0303
0.0073
0.0185
0.0008
0.0014
building
0.0148
0.9788
0.0010
0.0025
0.0001
0.0029
low_veg
0.0763
0.0154
0.8146
0.0931
0.0000
0.0005
tree
0.0395
0.0059
0.1514
0.8009
0.0007
0.0016
car
0.0686
0.0024
0.0001
0.0185
0.9030
0.0074
clutter
0.3569
0.0991
0.1797
0.0019
0.0070
0.3554
Precision/Correctness
0.908
0.894
0.721
0.761
0.918
0.952
Recall/Completeness
0.942
0.979
0.815
0.801
0.903
0.355
F1
0.925
0.934
0.765
0.780
0.910
0.518

Overall accuracy 0.873

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
0.0269
0.0060
0.0127
0.0001
0.0014
building
0.0118
0.9829
0.0004
0.0019
0.0001
0.0028
low_veg
0.0575
0.0116
0.8445
0.0860
0.0000
0.0004
tree
0.0261
0.0039
0.1445
0.8233
0.0004
0.0017
car
0.0076
0.0030
0.0000
0.0119
0.9682
0.0093
clutter
0.3473
0.0994
0.1810
0.0016
0.0068
0.3638
Precision/Correctness
0.919
0.904
0.728
0.797
0.933
0.954
Recall/Completeness
0.953
0.983
0.845
0.823
0.968
0.364
F1
0.935
0.942
0.782
0.810
0.951
0.527

Overall accuracy 0.886

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image