Detailled semantic labeling (2D) result


Name G. Wu et al.
Affiliation BUCT, China
Abbreviation BUCT_2
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
0.904
0.027
0.044
0.015
0.004
0.006
building
0.033
0.935
0.019
0.004
0.002
0.007
low_veg
0.043
0.018
0.866
0.065
0.003
0.005
tree
0.032
0.010
0.140
0.812
0.004
0.002
car
0.058
0.025
0.044
0.093
0.769
0.010
clutter
0.298
0.126
0.176
0.034
0.052
0.314
Precision/Correctness
0.885
0.917
0.780
0.858
0.738
0.734
Recall/Completeness
0.904
0.935
0.866
0.812
0.769
0.314
F1
0.894
0.926
0.821
0.834
0.753
0.440

Overall accuracy 0.858

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
0.928
0.019
0.035
0.010
0.002
0.006
building
0.028
0.945
0.015
0.003
0.002
0.007
low_veg
0.033
0.011
0.893
0.056
0.002
0.005
tree
0.024
0.007
0.123
0.841
0.003
0.002
car
0.012
0.007
0.018
0.075
0.875
0.011
clutter
0.298
0.110
0.166
0.029
0.050
0.347
Precision/Correctness
0.905
0.943
0.810
0.888
0.768
0.752
Recall/Completeness
0.928
0.945
0.893
0.841
0.875
0.347
F1
0.916
0.944
0.849
0.864
0.818
0.475

Overall accuracy 0.884
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8803
0.0390
0.0506
0.0114
0.0046
0.0140
building
0.0354
0.9161
0.0227
0.0117
0.0040
0.0100
low_veg
0.0339
0.0237
0.8824
0.0433
0.0052
0.0115
tree
0.0320
0.0129
0.1693
0.7797
0.0041
0.0019
car
0.0764
0.0245
0.0419
0.0898
0.7561
0.0114
clutter
0.1511
0.2131
0.1612
0.0441
0.0891
0.3414
Precision/Correctness
0.885
0.875
0.818
0.901
0.591
0.413
Recall/Completeness
0.880
0.916
0.882
0.780
0.756
0.341
F1
0.883
0.895
0.849
0.836
0.663
0.374

Overall accuracy 0.852

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
0.9076
0.0290
0.0401
0.0071
0.0028
0.0134
building
0.0311
0.9280
0.0170
0.0106
0.0036
0.0097
low_veg
0.0265
0.0188
0.9051
0.0339
0.0046
0.0111
tree
0.0240
0.0102
0.1460
0.8149
0.0032
0.0016
car
0.0345
0.0071
0.0177
0.0701
0.8575
0.0132
clutter
0.1204
0.2087
0.1290
0.0343
0.0867
0.4209
Precision/Correctness
0.911
0.907
0.848
0.926
0.630
0.400
Recall/Completeness
0.908
0.928
0.905
0.815
0.858
0.421
F1
0.909
0.917
0.876
0.867
0.726
0.410

Overall accuracy 0.882

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
0.8862
0.0308
0.0695
0.0081
0.0019
0.0036
building
0.0074
0.9520
0.0221
0.0044
0.0038
0.0104
low_veg
0.0163
0.0080
0.9358
0.0359
0.0015
0.0025
tree
0.0168
0.0053
0.1746
0.8007
0.0017
0.0010
car
0.0570
0.0225
0.0399
0.0858
0.7936
0.0012
clutter
0.1032
0.2709
0.1764
0.0613
0.1014
0.2867
Precision/Correctness
0.908
0.856
0.837
0.943
0.691
0.279
Recall/Completeness
0.886
0.952
0.936
0.801
0.794
0.287
F1
0.897
0.902
0.884
0.866
0.739
0.283

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_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9211
0.0196
0.0509
0.0043
0.0009
0.0032
building
0.0043
0.9668
0.0139
0.0027
0.0028
0.0095
low_veg
0.0114
0.0043
0.9522
0.0286
0.0012
0.0023
tree
0.0131
0.0041
0.1572
0.8235
0.0013
0.0008
car
0.0145
0.0024
0.0124
0.0636
0.9063
0.0007
clutter
0.0756
0.2952
0.1444
0.0586
0.0854
0.3408
Precision/Correctness
0.932
0.907
0.857
0.958
0.739
0.265
Recall/Completeness
0.921
0.967
0.952
0.823
0.906
0.341
F1
0.926
0.936
0.902
0.886
0.814
0.298

Overall accuracy 0.900

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
0.8717
0.0334
0.0628
0.0162
0.0050
0.0109
building
0.0172
0.9564
0.0159
0.0046
0.0014
0.0044
low_veg
0.0552
0.0240
0.8554
0.0578
0.0030
0.0045
tree
0.0266
0.0104
0.1164
0.8411
0.0041
0.0015
car
0.0552
0.0265
0.0440
0.0985
0.7648
0.0111
clutter
0.2816
0.1671
0.2265
0.0388
0.0717
0.2143
Precision/Correctness
0.877
0.919
0.789
0.902
0.726
0.485
Recall/Completeness
0.872
0.956
0.855
0.841
0.765
0.214
F1
0.874
0.937
0.821
0.870
0.745
0.297

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9031
0.0225
0.0516
0.0099
0.0025
0.0105
building
0.0132
0.9664
0.0118
0.0034
0.0011
0.0040
low_veg
0.0442
0.0129
0.8910
0.0465
0.0019
0.0035
tree
0.0193
0.0079
0.0975
0.8710
0.0033
0.0010
car
0.0093
0.0078
0.0170
0.0786
0.8746
0.0128
clutter
0.2975
0.1611
0.2003
0.0288
0.0644
0.2480
Precision/Correctness
0.905
0.949
0.824
0.930
0.785
0.485
Recall/Completeness
0.903
0.966
0.891
0.871
0.875
0.248
F1
0.904
0.958
0.856
0.900
0.827
0.328

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_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8572
0.0404
0.0714
0.0188
0.0051
0.0072
building
0.0158
0.9639
0.0130
0.0039
0.0010
0.0024
low_veg
0.0242
0.0166
0.9047
0.0509
0.0017
0.0019
tree
0.0190
0.0058
0.1736
0.7952
0.0038
0.0026
car
0.0461
0.0230
0.0387
0.0977
0.7828
0.0117
clutter
0.2133
0.2066
0.1809
0.0359
0.0573
0.3060
Precision/Correctness
0.891
0.910
0.781
0.908
0.676
0.733
Recall/Completeness
0.857
0.964
0.905
0.795
0.783
0.306
F1
0.874
0.936
0.839
0.848
0.726
0.432

Overall accuracy 0.860

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
0.8923
0.0293
0.0567
0.0122
0.0025
0.0069
building
0.0132
0.9731
0.0080
0.0028
0.0008
0.0022
low_veg
0.0153
0.0092
0.9332
0.0401
0.0009
0.0013
tree
0.0144
0.0044
0.1556
0.8202
0.0033
0.0021
car
0.0055
0.0064
0.0136
0.0688
0.8922
0.0134
clutter
0.2077
0.1945
0.1551
0.0279
0.0520
0.3628
Precision/Correctness
0.919
0.938
0.810
0.934
0.730
0.759
Recall/Completeness
0.892
0.973
0.933
0.820
0.892
0.363
F1
0.905
0.955
0.867
0.873
0.803
0.491

Overall accuracy 0.889

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
0.9188
0.0244
0.0351
0.0182
0.0019
0.0017
building
0.0205
0.9614
0.0112
0.0047
0.0007
0.0014
low_veg
0.0593
0.0165
0.8268
0.0926
0.0026
0.0023
tree
0.0299
0.0074
0.0735
0.8852
0.0034
0.0006
car
0.0592
0.0271
0.0462
0.1008
0.7618
0.0048
clutter
0.4918
0.1227
0.1848
0.0590
0.0393
0.1024
Precision/Correctness
0.838
0.942
0.763
0.809
0.795
0.823
Recall/Completeness
0.919
0.961
0.827
0.885
0.762
0.102
F1
0.876
0.952
0.794
0.846
0.778
0.182

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9440
0.0164
0.0252
0.0124
0.0007
0.0013
building
0.0139
0.9746
0.0061
0.0036
0.0006
0.0012
low_veg
0.0478
0.0078
0.8584
0.0824
0.0017
0.0019
tree
0.0196
0.0045
0.0551
0.9180
0.0024
0.0004
car
0.0072
0.0071
0.0206
0.0848
0.8751
0.0053
clutter
0.5153
0.1074
0.1729
0.0510
0.0398
0.1136
Precision/Correctness
0.863
0.962
0.811
0.847
0.822
0.851
Recall/Completeness
0.944
0.975
0.858
0.918
0.875
0.114
F1
0.902
0.968
0.834
0.881
0.848
0.200

Overall accuracy 0.888

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
0.8654
0.0378
0.0748
0.0112
0.0040
0.0068
building
0.0192
0.9619
0.0095
0.0058
0.0010
0.0025
low_veg
0.0829
0.0278
0.8008
0.0674
0.0054
0.0157
tree
0.0321
0.0123
0.1620
0.7830
0.0057
0.0049
car
0.0522
0.0257
0.0396
0.0936
0.7715
0.0173
clutter
0.4688
0.0726
0.1866
0.0203
0.0304
0.2213
Precision/Correctness
0.742
0.881
0.722
0.862
0.728
0.753
Recall/Completeness
0.865
0.962
0.801
0.783
0.772
0.221
F1
0.799
0.920
0.759
0.820
0.749
0.342

Overall accuracy 0.788

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
0.8917
0.0266
0.0667
0.0065
0.0020
0.0064
building
0.0162
0.9702
0.0059
0.0047
0.0008
0.0022
low_veg
0.0724
0.0187
0.8284
0.0595
0.0047
0.0164
tree
0.0243
0.0095
0.1429
0.8136
0.0050
0.0046
car
0.0177
0.0091
0.0141
0.0713
0.8678
0.0200
clutter
0.4794
0.0671
0.1784
0.0168
0.0284
0.2298
Precision/Correctness
0.755
0.913
0.745
0.890
0.747
0.768
Recall/Completeness
0.892
0.970
0.828
0.814
0.868
0.230
F1
0.818
0.941
0.785
0.850
0.803
0.354

Overall accuracy 0.812

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
0.8902
0.0347
0.0554
0.0075
0.0046
0.0076
building
0.0331
0.9292
0.0222
0.0037
0.0027
0.0090
low_veg
0.0490
0.0321
0.8764
0.0366
0.0034
0.0024
tree
0.0651
0.0164
0.1779
0.7288
0.0092
0.0025
car
0.0737
0.0325
0.0456
0.0873
0.7570
0.0039
clutter
0.2806
0.2207
0.2188
0.0284
0.0626
0.1889
Precision/Correctness
0.893
0.916
0.719
0.881
0.752
0.468
Recall/Completeness
0.890
0.929
0.876
0.729
0.757
0.189
F1
0.891
0.923
0.790
0.798
0.754
0.269

Overall accuracy 0.856

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
0.9129
0.0248
0.0480
0.0048
0.0026
0.0070
building
0.0294
0.9377
0.0189
0.0030
0.0024
0.0086
low_veg
0.0312
0.0191
0.9160
0.0305
0.0019
0.0013
tree
0.0506
0.0129
0.1551
0.7718
0.0074
0.0022
car
0.0194
0.0139
0.0220
0.0735
0.8669
0.0043
clutter
0.2799
0.2144
0.2253
0.0231
0.0552
0.2021
Precision/Correctness
0.918
0.943
0.749
0.913
0.797
0.457
Recall/Completeness
0.913
0.938
0.916
0.772
0.867
0.202
F1
0.915
0.940
0.824
0.837
0.831
0.280

Overall accuracy 0.886

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_5_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9043
0.0287
0.0410
0.0202
0.0026
0.0031
building
0.0172
0.9649
0.0112
0.0027
0.0009
0.0030
low_veg
0.0653
0.0205
0.8090
0.1005
0.0021
0.0027
tree
0.0451
0.0113
0.1118
0.8273
0.0037
0.0008
car
0.0695
0.0249
0.0432
0.0866
0.7595
0.0164
clutter
0.2399
0.2421
0.1699
0.0349
0.1149
0.1985
Precision/Correctness
0.903
0.922
0.806
0.773
0.774
0.684
Recall/Completeness
0.904
0.965
0.809
0.827
0.759
0.198
F1
0.904
0.943
0.807
0.799
0.766
0.308

Overall accuracy 0.867

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
0.9286
0.0194
0.0338
0.0146
0.0011
0.0025
building
0.0127
0.9729
0.0088
0.0020
0.0008
0.0029
low_veg
0.0588
0.0142
0.8325
0.0909
0.0015
0.0020
tree
0.0314
0.0085
0.0967
0.8598
0.0030
0.0006
car
0.0114
0.0076
0.0224
0.0755
0.8643
0.0188
clutter
0.2098
0.2286
0.1608
0.0334
0.1317
0.2357
Precision/Correctness
0.927
0.947
0.841
0.805
0.802
0.700
Recall/Completeness
0.929
0.973
0.833
0.860
0.864
0.236
F1
0.928
0.960
0.837
0.831
0.832
0.353

Overall accuracy 0.896

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
0.9168
0.0238
0.0311
0.0238
0.0020
0.0025
building
0.0301
0.9530
0.0109
0.0025
0.0013
0.0022
low_veg
0.0539
0.0181
0.8203
0.0982
0.0024
0.0071
tree
0.0386
0.0110
0.0888
0.8539
0.0051
0.0026
car
0.0695
0.0313
0.0527
0.0899
0.7421
0.0144
clutter
0.2518
0.1859
0.1732
0.0567
0.0375
0.2948
Precision/Correctness
0.844
0.900
0.807
0.818
0.742
0.865
Recall/Completeness
0.917
0.953
0.820
0.854
0.742
0.295
F1
0.879
0.926
0.814
0.836
0.742
0.440

Overall accuracy 0.845

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
0.9425
0.0158
0.0211
0.0178
0.0009
0.0020
building
0.0274
0.9597
0.0078
0.0020
0.0011
0.0020
low_veg
0.0402
0.0117
0.8471
0.0928
0.0017
0.0066
tree
0.0295
0.0091
0.0775
0.8776
0.0041
0.0023
car
0.0153
0.0132
0.0290
0.0767
0.8501
0.0158
clutter
0.2433
0.1594
0.1650
0.0554
0.0386
0.3383
Precision/Correctness
0.870
0.929
0.839
0.843
0.764
0.883
Recall/Completeness
0.942
0.960
0.847
0.878
0.850
0.338
F1
0.905
0.944
0.843
0.860
0.805
0.489

Overall accuracy 0.873

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
0.8967
0.0354
0.0468
0.0153
0.0022
0.0036
building
0.0826
0.8763
0.0226
0.0067
0.0035
0.0082
low_veg
0.0486
0.0168
0.8239
0.0977
0.0038
0.0092
tree
0.0341
0.0075
0.0983
0.8558
0.0033
0.0010
car
0.0820
0.0270
0.0493
0.0950
0.7393
0.0075
clutter
0.3490
0.1410
0.1621
0.0237
0.0423
0.2820
Precision/Correctness
0.861
0.886
0.709
0.793
0.774
0.795
Recall/Completeness
0.897
0.876
0.824
0.856
0.739
0.282
F1
0.878
0.881
0.762
0.823
0.756
0.416

Overall accuracy 0.829

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
0.9161
0.0289
0.0396
0.0110
0.0013
0.0031
building
0.0776
0.8864
0.0198
0.0052
0.0033
0.0077
low_veg
0.0340
0.0084
0.8547
0.0906
0.0034
0.0089
tree
0.0247
0.0054
0.0846
0.8818
0.0027
0.0009
car
0.0242
0.0067
0.0235
0.0815
0.8558
0.0083
clutter
0.3563
0.1110
0.1558
0.0212
0.0427
0.3130
Precision/Correctness
0.878
0.916
0.739
0.828
0.787
0.811
Recall/Completeness
0.916
0.886
0.855
0.882
0.856
0.313
F1
0.897
0.901
0.793
0.854
0.820
0.452

Overall accuracy 0.855

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
0.9299
0.0184
0.0284
0.0134
0.0032
0.0067
building
0.0436
0.9214
0.0229
0.0020
0.0025
0.0077
low_veg
0.0173
0.0098
0.9363
0.0355
0.0008
0.0004
tree
0.0547
0.0129
0.1058
0.8237
0.0022
0.0007
car
0.0390
0.0206
0.0381
0.0829
0.8144
0.0050
clutter
0.4025
0.0467
0.1814
0.0441
0.0688
0.2566
Precision/Correctness
0.922
0.949
0.870
0.861
0.729
0.534
Recall/Completeness
0.930
0.921
0.936
0.824
0.814
0.257
F1
0.926
0.935
0.902
0.842
0.769
0.347

Overall accuracy 0.902

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
0.9500
0.0129
0.0215
0.0081
0.0020
0.0055
building
0.0384
0.9334
0.0177
0.0015
0.0022
0.0069
low_veg
0.0097
0.0051
0.9557
0.0290
0.0004
0.0001
tree
0.0396
0.0095
0.0903
0.8582
0.0019
0.0005
car
0.0017
0.0023
0.0112
0.0627
0.9163
0.0057
clutter
0.4212
0.0408
0.1634
0.0402
0.0661
0.2683
Precision/Correctness
0.937
0.967
0.896
0.895
0.766
0.554
Recall/Completeness
0.950
0.933
0.956
0.858
0.916
0.268
F1
0.943
0.950
0.925
0.876
0.834
0.362

Overall accuracy 0.924

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
0.9369
0.0205
0.0266
0.0112
0.0036
0.0011
building
0.0645
0.9019
0.0229
0.0024
0.0020
0.0062
low_veg
0.0595
0.0196
0.8435
0.0719
0.0027
0.0029
tree
0.0373
0.0083
0.0956
0.8515
0.0064
0.0009
car
0.0434
0.0223
0.0427
0.0962
0.7891
0.0063
clutter
0.2517
0.2432
0.2208
0.0309
0.0576
0.1958
Precision/Correctness
0.903
0.937
0.798
0.802
0.850
0.598
Recall/Completeness
0.937
0.902
0.844
0.851
0.789
0.196
F1
0.920
0.919
0.820
0.826
0.819
0.295

Overall accuracy 0.882

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
0.9578
0.0138
0.0195
0.0072
0.0009
0.0008
building
0.0582
0.9124
0.0199
0.0018
0.0017
0.0059
low_veg
0.0440
0.0106
0.8772
0.0646
0.0016
0.0021
tree
0.0272
0.0061
0.0814
0.8792
0.0052
0.0009
car
0.0049
0.0037
0.0140
0.0754
0.8945
0.0074
clutter
0.2332
0.2649
0.2165
0.0254
0.0529
0.2071
Precision/Correctness
0.921
0.956
0.831
0.843
0.892
0.609
Recall/Completeness
0.958
0.912
0.877
0.879
0.895
0.207
F1
0.939
0.934
0.854
0.861
0.893
0.309

Overall accuracy 0.907

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
0.9025
0.0193
0.0477
0.0111
0.0061
0.0133
building
0.0234
0.9111
0.0561
0.0033
0.0020
0.0042
low_veg
0.0319
0.0139
0.8849
0.0547
0.0061
0.0084
tree
0.0358
0.0099
0.1728
0.7712
0.0070
0.0033
car
0.0475
0.0217
0.0425
0.0915
0.7805
0.0163
clutter
0.0921
0.0376
0.2645
0.0332
0.0773
0.4954
Precision/Correctness
0.938
0.939
0.637
0.870
0.718
0.782
Recall/Completeness
0.903
0.911
0.885
0.771
0.781
0.495
F1
0.920
0.925
0.741
0.818
0.748
0.607

Overall accuracy 0.854

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
0.9268
0.0123
0.0383
0.0069
0.0031
0.0127
building
0.0177
0.9224
0.0520
0.0025
0.0017
0.0037
low_veg
0.0180
0.0061
0.9181
0.0455
0.0047
0.0076
tree
0.0276
0.0077
0.1543
0.8016
0.0058
0.0030
car
0.0073
0.0068
0.0164
0.0729
0.8787
0.0179
clutter
0.0836
0.0356
0.2593
0.0310
0.0746
0.5158
Precision/Correctness
0.956
0.961
0.658
0.904
0.742
0.800
Recall/Completeness
0.927
0.922
0.918
0.802
0.879
0.516
F1
0.941
0.941
0.766
0.850
0.805
0.627

Overall accuracy 0.879

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
0.9297
0.0166
0.0210
0.0238
0.0033
0.0056
building
0.0236
0.9235
0.0106
0.0065
0.0048
0.0310
low_veg
0.0550
0.0151
0.7339
0.1891
0.0032
0.0038
tree
0.0201
0.0059
0.1223
0.8506
0.0009
0.0001
car
0.0358
0.0189
0.0380
0.1039
0.7988
0.0046
clutter
0.1863
0.0354
0.0790
0.0115
0.0410
0.6467
Precision/Correctness
0.939
0.938
0.712
0.655
0.616
0.851
Recall/Completeness
0.930
0.924
0.734
0.851
0.799
0.647
F1
0.935
0.931
0.723
0.740
0.696
0.735

Overall accuracy 0.875

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
0.9465
0.0116
0.0176
0.0167
0.0022
0.0054
building
0.0193
0.9310
0.0089
0.0054
0.0046
0.0308
low_veg
0.0428
0.0075
0.7604
0.1829
0.0027
0.0037
tree
0.0134
0.0036
0.1136
0.8691
0.0004
0.0001
car
0.0031
0.0026
0.0115
0.0767
0.9016
0.0045
clutter
0.1764
0.0335
0.0777
0.0106
0.0402
0.6616
Precision/Correctness
0.948
0.956
0.734
0.687
0.611
0.857
Recall/Completeness
0.946
0.931
0.760
0.869
0.902
0.662
F1
0.947
0.943
0.747
0.768
0.729
0.747

Overall accuracy 0.893

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image