Detailled semantic labeling (2D) result


Name Y. Sun
Affiliation Huazhong University of Science and Technology (HUST), Wuhan, China
Abbreviation HUSTW2
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
0.017
0.031
0.023
0.003
0.007
building
0.018
0.969
0.006
0.003
0.000
0.004
low_veg
0.049
0.018
0.842
0.082
0.000
0.008
tree
0.028
0.005
0.095
0.866
0.002
0.004
car
0.099
0.008
0.001
0.022
0.849
0.021
clutter
0.257
0.122
0.109
0.033
0.009
0.471
Precision/Correctness
0.898
0.936
0.845
0.844
0.905
0.789
Recall/Completeness
0.920
0.969
0.842
0.866
0.849
0.471
F1
0.908
0.952
0.844
0.855
0.876
0.590

Overall accuracy 0.884

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
0.012
0.024
0.016
0.000
0.006
building
0.014
0.977
0.004
0.002
0.000
0.003
low_veg
0.035
0.013
0.873
0.071
0.000
0.007
tree
0.020
0.004
0.082
0.890
0.001
0.003
car
0.028
0.008
0.000
0.015
0.927
0.022
clutter
0.244
0.106
0.090
0.027
0.009
0.524
Precision/Correctness
0.922
0.953
0.872
0.875
0.952
0.820
Recall/Completeness
0.941
0.977
0.873
0.890
0.927
0.524
F1
0.932
0.965
0.873
0.883
0.939
0.639

Overall accuracy 0.909
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9157
0.0160
0.0378
0.0224
0.0027
0.0054
building
0.0149
0.9617
0.0111
0.0063
0.0000
0.0060
low_veg
0.0400
0.0086
0.8790
0.0674
0.0000
0.0050
tree
0.0262
0.0081
0.1057
0.8545
0.0011
0.0045
car
0.1023
0.0094
0.0003
0.0152
0.8176
0.0553
clutter
0.1952
0.1781
0.1622
0.0504
0.0170
0.3972
Precision/Correctness
0.897
0.937
0.872
0.875
0.884
0.576
Recall/Completeness
0.916
0.962
0.879
0.854
0.818
0.397
F1
0.906
0.949
0.876
0.865
0.849
0.470

Overall accuracy 0.888

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_2_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9429
0.0104
0.0286
0.0146
0.0004
0.0032
building
0.0102
0.9729
0.0072
0.0050
0.0000
0.0047
low_veg
0.0310
0.0043
0.9080
0.0531
0.0000
0.0036
tree
0.0187
0.0065
0.0871
0.8833
0.0007
0.0038
car
0.0360
0.0107
0.0001
0.0076
0.8811
0.0646
clutter
0.1578
0.1754
0.1253
0.0381
0.0209
0.4825
Precision/Correctness
0.927
0.959
0.900
0.907
0.936
0.617
Recall/Completeness
0.943
0.973
0.908
0.883
0.881
0.482
F1
0.935
0.966
0.904
0.895
0.908
0.542

Overall accuracy 0.917

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
0.9011
0.0063
0.0657
0.0233
0.0020
0.0016
building
0.0093
0.9656
0.0131
0.0074
0.0000
0.0046
low_veg
0.0176
0.0036
0.9135
0.0647
0.0000
0.0007
tree
0.0143
0.0025
0.1037
0.8777
0.0006
0.0012
car
0.0866
0.0012
0.0003
0.0155
0.8757
0.0206
clutter
0.1237
0.3181
0.1885
0.0742
0.0077
0.2878
Precision/Correctness
0.909
0.937
0.886
0.909
0.903
0.426
Recall/Completeness
0.901
0.966
0.913
0.878
0.876
0.288
F1
0.905
0.951
0.900
0.893
0.889
0.343

Overall accuracy 0.900

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
0.9315
0.0033
0.0484
0.0156
0.0002
0.0011
building
0.0048
0.9796
0.0073
0.0049
0.0000
0.0034
low_veg
0.0117
0.0018
0.9330
0.0530
0.0000
0.0005
tree
0.0108
0.0018
0.0900
0.8960
0.0004
0.0010
car
0.0238
0.0004
0.0000
0.0092
0.9441
0.0225
clutter
0.0678
0.3711
0.1446
0.0690
0.0079
0.3396
Precision/Correctness
0.937
0.960
0.905
0.929
0.955
0.449
Recall/Completeness
0.931
0.980
0.933
0.896
0.944
0.340
F1
0.934
0.970
0.919
0.912
0.950
0.387

Overall accuracy 0.921

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_3_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9047
0.0176
0.0406
0.0293
0.0044
0.0034
building
0.0126
0.9756
0.0049
0.0031
0.0000
0.0038
low_veg
0.0597
0.0197
0.8293
0.0870
0.0001
0.0042
tree
0.0198
0.0076
0.0731
0.8953
0.0018
0.0025
car
0.0986
0.0049
0.0006
0.0278
0.8546
0.0135
clutter
0.3857
0.1335
0.2699
0.0437
0.0115
0.1559
Precision/Correctness
0.876
0.945
0.847
0.874
0.890
0.508
Recall/Completeness
0.905
0.976
0.829
0.895
0.855
0.156
F1
0.890
0.960
0.838
0.885
0.872
0.239

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
0.9360
0.0109
0.0306
0.0196
0.0005
0.0023
building
0.0087
0.9843
0.0020
0.0022
0.0000
0.0028
low_veg
0.0472
0.0100
0.8671
0.0725
0.0000
0.0032
tree
0.0134
0.0062
0.0588
0.9183
0.0013
0.0020
car
0.0315
0.0053
0.0004
0.0178
0.9317
0.0133
clutter
0.4164
0.1247
0.2347
0.0328
0.0140
0.1774
Precision/Correctness
0.906
0.967
0.881
0.905
0.949
0.550
Recall/Completeness
0.936
0.984
0.867
0.918
0.932
0.177
F1
0.921
0.975
0.874
0.912
0.940
0.268

Overall accuracy 0.915

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
0.8890
0.0174
0.0520
0.0322
0.0036
0.0058
building
0.0128
0.9746
0.0059
0.0031
0.0000
0.0036
low_veg
0.0301
0.0328
0.8578
0.0763
0.0000
0.0030
tree
0.0182
0.0035
0.1275
0.8473
0.0011
0.0024
car
0.0981
0.0022
0.0006
0.0371
0.8431
0.0189
clutter
0.4155
0.1737
0.2035
0.0439
0.0036
0.1598
Precision/Correctness
0.864
0.920
0.819
0.880
0.897
0.569
Recall/Completeness
0.889
0.975
0.858
0.847
0.843
0.160
F1
0.876
0.946
0.838
0.863
0.869
0.250

Overall accuracy 0.866

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
0.9211
0.0114
0.0390
0.0233
0.0006
0.0046
building
0.0100
0.9825
0.0028
0.0020
0.0000
0.0027
low_veg
0.0190
0.0292
0.8873
0.0625
0.0000
0.0019
tree
0.0134
0.0025
0.1125
0.8687
0.0009
0.0019
car
0.0298
0.0015
0.0001
0.0254
0.9231
0.0201
clutter
0.4532
0.1630
0.1723
0.0348
0.0042
0.1725
Precision/Correctness
0.893
0.938
0.847
0.908
0.949
0.611
Recall/Completeness
0.921
0.983
0.887
0.869
0.923
0.173
F1
0.907
0.960
0.867
0.888
0.936
0.269

Overall accuracy 0.893

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
0.9245
0.0099
0.0295
0.0313
0.0023
0.0026
building
0.0158
0.9693
0.0067
0.0043
0.0000
0.0039
low_veg
0.0517
0.0165
0.7977
0.1306
0.0001
0.0035
tree
0.0246
0.0034
0.0474
0.9218
0.0014
0.0014
car
0.1110
0.0022
0.0010
0.0375
0.8304
0.0179
clutter
0.4828
0.1181
0.1617
0.0785
0.0115
0.1474
Precision/Correctness
0.846
0.959
0.804
0.766
0.916
0.759
Recall/Completeness
0.924
0.969
0.798
0.922
0.830
0.147
F1
0.883
0.964
0.801
0.837
0.871
0.247

Overall accuracy 0.866

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
0.9459
0.0057
0.0233
0.0231
0.0002
0.0018
building
0.0102
0.9803
0.0032
0.0031
0.0000
0.0032
low_veg
0.0371
0.0106
0.8325
0.1172
0.0000
0.0026
tree
0.0153
0.0020
0.0360
0.9451
0.0008
0.0008
car
0.0320
0.0016
0.0005
0.0259
0.9229
0.0170
clutter
0.4995
0.1017
0.1500
0.0686
0.0126
0.1677
Precision/Correctness
0.874
0.973
0.840
0.806
0.946
0.809
Recall/Completeness
0.946
0.980
0.833
0.945
0.923
0.168
F1
0.908
0.976
0.836
0.870
0.934
0.278

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_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8873
0.0222
0.0547
0.0192
0.0034
0.0131
building
0.0119
0.9745
0.0038
0.0050
0.0001
0.0047
low_veg
0.0880
0.0199
0.7844
0.0826
0.0002
0.0250
tree
0.0263
0.0052
0.1038
0.8556
0.0016
0.0075
car
0.1063
0.0053
0.0016
0.0329
0.8312
0.0228
clutter
0.1908
0.0596
0.0833
0.0156
0.0020
0.6487
Precision/Correctness
0.822
0.919
0.809
0.856
0.930
0.843
Recall/Completeness
0.887
0.974
0.784
0.856
0.831
0.649
F1
0.854
0.946
0.797
0.856
0.878
0.733

Overall accuracy 0.850

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
0.9084
0.0176
0.0488
0.0124
0.0004
0.0123
building
0.0082
0.9824
0.0017
0.0039
0.0001
0.0036
low_veg
0.0739
0.0146
0.8169
0.0707
0.0000
0.0240
tree
0.0186
0.0039
0.0877
0.8825
0.0011
0.0062
car
0.0360
0.0051
0.0015
0.0233
0.9114
0.0228
clutter
0.1857
0.0558
0.0672
0.0112
0.0015
0.6786
Precision/Correctness
0.847
0.936
0.835
0.887
0.972
0.863
Recall/Completeness
0.908
0.982
0.817
0.883
0.911
0.679
F1
0.877
0.959
0.826
0.885
0.941
0.760

Overall accuracy 0.875

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
0.9260
0.0203
0.0353
0.0104
0.0030
0.0050
building
0.0063
0.9842
0.0052
0.0017
0.0001
0.0026
low_veg
0.0598
0.0263
0.8533
0.0559
0.0002
0.0044
tree
0.0600
0.0079
0.1113
0.8124
0.0049
0.0035
car
0.1073
0.0107
0.0007
0.0137
0.8394
0.0283
clutter
0.3607
0.2383
0.1309
0.0269
0.0089
0.2343
Precision/Correctness
0.907
0.940
0.815
0.879
0.911
0.608
Recall/Completeness
0.926
0.984
0.853
0.812
0.839
0.234
F1
0.916
0.962
0.834
0.844
0.874
0.338

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_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9456
0.0139
0.0296
0.0067
0.0005
0.0038
building
0.0033
0.9901
0.0033
0.0011
0.0001
0.0021
low_veg
0.0380
0.0164
0.8973
0.0457
0.0000
0.0027
tree
0.0445
0.0061
0.0918
0.8516
0.0035
0.0025
car
0.0288
0.0114
0.0000
0.0067
0.9245
0.0285
clutter
0.3734
0.2393
0.1066
0.0201
0.0084
0.2523
Precision/Correctness
0.936
0.958
0.847
0.912
0.955
0.649
Recall/Completeness
0.946
0.990
0.897
0.852
0.925
0.252
F1
0.941
0.974
0.871
0.881
0.940
0.363

Overall accuracy 0.924

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_5_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9224
0.0156
0.0271
0.0274
0.0033
0.0043
building
0.0136
0.9751
0.0046
0.0036
0.0000
0.0031
low_veg
0.0532
0.0247
0.8245
0.0907
0.0000
0.0069
tree
0.0363
0.0055
0.1029
0.8512
0.0018
0.0023
car
0.0999
0.0017
0.0002
0.0112
0.8735
0.0135
clutter
0.3044
0.2563
0.1301
0.0308
0.0276
0.2508
Precision/Correctness
0.909
0.936
0.853
0.785
0.910
0.655
Recall/Completeness
0.922
0.975
0.824
0.851
0.874
0.251
F1
0.915
0.955
0.838
0.817
0.891
0.363

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
0.9437
0.0095
0.0225
0.0207
0.0005
0.0030
building
0.0098
0.9818
0.0031
0.0029
0.0000
0.0025
low_veg
0.0457
0.0200
0.8485
0.0803
0.0000
0.0054
tree
0.0235
0.0039
0.0900
0.8794
0.0013
0.0018
car
0.0236
0.0017
0.0000
0.0082
0.9526
0.0140
clutter
0.2784
0.2457
0.1193
0.0274
0.0319
0.2973
Precision/Correctness
0.935
0.955
0.879
0.817
0.947
0.694
Recall/Completeness
0.944
0.982
0.849
0.879
0.953
0.297
F1
0.939
0.968
0.864
0.847
0.950
0.416

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_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9228
0.0085
0.0229
0.0327
0.0023
0.0108
building
0.0084
0.9828
0.0048
0.0017
0.0001
0.0022
low_veg
0.0692
0.0189
0.7959
0.0993
0.0001
0.0166
tree
0.0348
0.0046
0.0699
0.8793
0.0022
0.0093
car
0.1063
0.0142
0.0025
0.0264
0.8247
0.0259
clutter
0.2027
0.2013
0.1002
0.0620
0.0076
0.4263
Precision/Correctness
0.862
0.917
0.859
0.815
0.909
0.778
Recall/Completeness
0.923
0.983
0.796
0.879
0.825
0.426
F1
0.891
0.949
0.826
0.846
0.865
0.551

Overall accuracy 0.865

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
0.9436
0.0053
0.0166
0.0248
0.0003
0.0095
building
0.0059
0.9882
0.0028
0.0013
0.0000
0.0017
low_veg
0.0518
0.0160
0.8250
0.0915
0.0000
0.0157
tree
0.0258
0.0037
0.0619
0.8992
0.0015
0.0080
car
0.0262
0.0151
0.0023
0.0173
0.9131
0.0260
clutter
0.1857
0.1779
0.0851
0.0592
0.0077
0.4844
Precision/Correctness
0.894
0.937
0.885
0.843
0.944
0.803
Recall/Completeness
0.944
0.988
0.825
0.899
0.913
0.484
F1
0.918
0.962
0.854
0.870
0.928
0.604

Overall accuracy 0.891

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
0.9166
0.0123
0.0354
0.0250
0.0023
0.0085
building
0.0120
0.9718
0.0073
0.0041
0.0005
0.0043
low_veg
0.0486
0.0119
0.7788
0.1383
0.0000
0.0223
tree
0.0287
0.0076
0.0578
0.9020
0.0014
0.0026
car
0.1181
0.0026
0.0011
0.0212
0.8278
0.0292
clutter
0.1851
0.1187
0.0881
0.0263
0.0047
0.5772
Precision/Correctness
0.926
0.938
0.794
0.759
0.935
0.823
Recall/Completeness
0.917
0.972
0.779
0.902
0.828
0.577
F1
0.921
0.955
0.787
0.825
0.878
0.678

Overall accuracy 0.883

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
0.9343
0.0075
0.0311
0.0192
0.0005
0.0073
building
0.0076
0.9797
0.0058
0.0031
0.0004
0.0035
low_veg
0.0286
0.0079
0.8122
0.1299
0.0000
0.0214
tree
0.0194
0.0054
0.0496
0.9225
0.0010
0.0022
car
0.0354
0.0017
0.0002
0.0166
0.9150
0.0311
clutter
0.1668
0.0864
0.0758
0.0233
0.0047
0.6429
Precision/Correctness
0.950
0.960
0.819
0.791
0.965
0.845
Recall/Completeness
0.934
0.980
0.812
0.922
0.915
0.643
F1
0.942
0.970
0.815
0.852
0.939
0.730

Overall accuracy 0.908

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
0.9337
0.0227
0.0181
0.0208
0.0019
0.0028
building
0.0359
0.9483
0.0124
0.0008
0.0002
0.0025
low_veg
0.0274
0.0111
0.9180
0.0432
0.0000
0.0003
tree
0.0610
0.0022
0.0815
0.8522
0.0010
0.0021
car
0.0900
0.0097
0.0001
0.0058
0.8788
0.0157
clutter
0.3828
0.0720
0.1011
0.0379
0.0087
0.3975
Precision/Correctness
0.918
0.946
0.910
0.842
0.911
0.791
Recall/Completeness
0.934
0.948
0.918
0.852
0.879
0.397
F1
0.926
0.947
0.914
0.847
0.895
0.529

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: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9505
0.0192
0.0136
0.0142
0.0003
0.0021
building
0.0311
0.9572
0.0091
0.0004
0.0002
0.0020
low_veg
0.0166
0.0078
0.9394
0.0361
0.0000
0.0001
tree
0.0435
0.0014
0.0704
0.8824
0.0007
0.0015
car
0.0225
0.0121
0.0000
0.0033
0.9449
0.0172
clutter
0.3726
0.0641
0.0725
0.0347
0.0076
0.4485
Precision/Correctness
0.938
0.957
0.929
0.875
0.962
0.832
Recall/Completeness
0.951
0.957
0.939
0.882
0.945
0.449
F1
0.944
0.957
0.934
0.879
0.953
0.583

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
0.9454
0.0142
0.0194
0.0136
0.0056
0.0018
building
0.0352
0.9547
0.0051
0.0012
0.0002
0.0036
low_veg
0.0684
0.0206
0.8258
0.0821
0.0003
0.0028
tree
0.0393
0.0079
0.0754
0.8732
0.0028
0.0013
car
0.0778
0.0100
0.0005
0.0170
0.8819
0.0128
clutter
0.3704
0.1894
0.1246
0.0285
0.0202
0.2669
Precision/Correctness
0.912
0.953
0.869
0.809
0.901
0.694
Recall/Completeness
0.945
0.955
0.826
0.873
0.882
0.267
F1
0.928
0.954
0.847
0.840
0.891
0.386

Overall accuracy 0.905

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
0.9634
0.0099
0.0147
0.0101
0.0005
0.0013
building
0.0301
0.9628
0.0031
0.0008
0.0001
0.0031
low_veg
0.0476
0.0149
0.8615
0.0743
0.0000
0.0017
tree
0.0292
0.0065
0.0638
0.8974
0.0019
0.0011
car
0.0189
0.0092
0.0001
0.0115
0.9484
0.0119
clutter
0.3606
0.1980
0.1010
0.0245
0.0203
0.2956
Precision/Correctness
0.933
0.965
0.896
0.840
0.965
0.740
Recall/Completeness
0.963
0.963
0.861
0.897
0.948
0.296
F1
0.948
0.964
0.878
0.868
0.957
0.422

Overall accuracy 0.927

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
0.9114
0.0243
0.0265
0.0157
0.0059
0.0162
building
0.0219
0.9653
0.0069
0.0027
0.0001
0.0032
low_veg
0.0655
0.0413
0.7972
0.0732
0.0004
0.0224
tree
0.0308
0.0065
0.1292
0.8267
0.0026
0.0043
car
0.0870
0.0151
0.0011
0.0215
0.8554
0.0199
clutter
0.1432
0.0780
0.0913
0.0168
0.0109
0.6598
Precision/Correctness
0.918
0.912
0.761
0.871
0.886
0.775
Recall/Completeness
0.911
0.965
0.797
0.827
0.855
0.660
F1
0.915
0.938
0.779
0.848
0.871
0.713

Overall accuracy 0.877

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
0.9322
0.0202
0.0206
0.0108
0.0010
0.0151
building
0.0171
0.9746
0.0039
0.0019
0.0000
0.0025
low_veg
0.0428
0.0399
0.8341
0.0624
0.0000
0.0208
tree
0.0220
0.0048
0.1137
0.8542
0.0019
0.0034
car
0.0228
0.0160
0.0002
0.0141
0.9284
0.0185
clutter
0.1331
0.0747
0.0791
0.0132
0.0105
0.6894
Precision/Correctness
0.941
0.926
0.789
0.902
0.946
0.800
Recall/Completeness
0.932
0.975
0.834
0.854
0.928
0.689
F1
0.937
0.950
0.811
0.877
0.937
0.741

Overall accuracy 0.902

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
0.9322
0.0198
0.0109
0.0255
0.0020
0.0096
building
0.0326
0.9570
0.0038
0.0019
0.0002
0.0046
low_veg
0.0581
0.0219
0.7457
0.1524
0.0001
0.0218
tree
0.0247
0.0031
0.0973
0.8689
0.0007
0.0052
car
0.0835
0.0227
0.0004
0.0334
0.8458
0.0142
clutter
0.1563
0.0251
0.0273
0.0024
0.0079
0.7810
Precision/Correctness
0.938
0.935
0.822
0.699
0.865
0.892
Recall/Completeness
0.932
0.957
0.746
0.869
0.846
0.781
F1
0.935
0.946
0.782
0.775
0.855
0.833

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: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9473
0.0160
0.0087
0.0185
0.0005
0.0090
building
0.0289
0.9631
0.0026
0.0012
0.0002
0.0040
low_veg
0.0418
0.0184
0.7761
0.1419
0.0000
0.0218
tree
0.0145
0.0017
0.0898
0.8892
0.0004
0.0044
car
0.0203
0.0249
0.0001
0.0247
0.9149
0.0152
clutter
0.1458
0.0228
0.0255
0.0019
0.0073
0.7968
Precision/Correctness
0.949
0.947
0.843
0.734
0.909
0.902
Recall/Completeness
0.947
0.963
0.776
0.889
0.915
0.797
F1
0.948
0.955
0.808
0.804
0.912
0.846

Overall accuracy 0.916

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image