Detailled semantic labeling (2D) result


Name W. Tang
Affiliation Wuhan University, China
Abbreviation WUH_W2
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
0.909
0.022
0.037
0.016
0.003
0.013
building
0.012
0.970
0.008
0.003
0.000
0.006
low_veg
0.042
0.012
0.867
0.065
0.000
0.014
tree
0.036
0.006
0.123
0.829
0.002
0.004
car
0.066
0.003
0.002
0.016
0.900
0.012
clutter
0.242
0.126
0.148
0.023
0.008
0.453
Precision/Correctness
0.904
0.935
0.815
0.871
0.915
0.689
Recall/Completeness
0.909
0.970
0.867
0.829
0.900
0.453
F1
0.907
0.952
0.841
0.850
0.908
0.547

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
0.929
0.017
0.030
0.011
0.000
0.011
building
0.009
0.978
0.005
0.002
0.000
0.005
low_veg
0.031
0.007
0.894
0.056
0.000
0.012
tree
0.027
0.004
0.108
0.856
0.002
0.004
car
0.008
0.003
0.001
0.010
0.965
0.013
clutter
0.238
0.111
0.137
0.019
0.008
0.487
Precision/Correctness
0.926
0.951
0.840
0.898
0.953
0.715
Recall/Completeness
0.929
0.978
0.894
0.856
0.965
0.487
F1
0.928
0.964
0.866
0.876
0.959
0.579

Overall accuracy 0.903
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8764
0.0272
0.0684
0.0104
0.0026
0.0149
building
0.0071
0.9625
0.0172
0.0081
0.0005
0.0046
low_veg
0.0268
0.0106
0.9110
0.0392
0.0002
0.0121
tree
0.0406
0.0128
0.1344
0.8053
0.0011
0.0059
car
0.0710
0.0085
0.0031
0.0118
0.8891
0.0165
clutter
0.1178
0.2153
0.1429
0.0209
0.0032
0.4999
Precision/Correctness
0.907
0.912
0.836
0.919
0.903
0.496
Recall/Completeness
0.876
0.962
0.911
0.805
0.889
0.500
F1
0.892
0.937
0.872
0.858
0.896
0.498

Overall accuracy 0.879

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
0.9016
0.0211
0.0587
0.0062
0.0006
0.0119
building
0.0044
0.9718
0.0128
0.0072
0.0005
0.0033
low_veg
0.0197
0.0064
0.9347
0.0287
0.0001
0.0104
tree
0.0321
0.0107
0.1142
0.8370
0.0007
0.0052
car
0.0137
0.0102
0.0009
0.0055
0.9513
0.0184
clutter
0.0828
0.2174
0.1039
0.0157
0.0035
0.5768
Precision/Correctness
0.934
0.936
0.863
0.943
0.949
0.505
Recall/Completeness
0.902
0.972
0.935
0.837
0.951
0.577
F1
0.917
0.953
0.897
0.887
0.950
0.538

Overall accuracy 0.906

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
0.8648
0.0235
0.0850
0.0118
0.0014
0.0135
building
0.0058
0.9747
0.0095
0.0063
0.0004
0.0034
low_veg
0.0151
0.0064
0.9463
0.0295
0.0001
0.0026
tree
0.0164
0.0041
0.2002
0.7773
0.0007
0.0015
car
0.0570
0.0109
0.0039
0.0177
0.9037
0.0069
clutter
0.0728
0.3138
0.1630
0.0528
0.0230
0.3746
Precision/Correctness
0.911
0.883
0.821
0.949
0.901
0.254
Recall/Completeness
0.865
0.975
0.946
0.777
0.904
0.375
F1
0.887
0.927
0.879
0.855
0.902
0.303

Overall accuracy 0.873

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
0.8946
0.0204
0.0653
0.0074
0.0000
0.0123
building
0.0037
0.9844
0.0043
0.0046
0.0002
0.0029
low_veg
0.0104
0.0041
0.9603
0.0232
0.0001
0.0020
tree
0.0127
0.0031
0.1830
0.7996
0.0004
0.0012
car
0.0026
0.0114
0.0005
0.0112
0.9661
0.0082
clutter
0.0396
0.3539
0.1142
0.0565
0.0234
0.4124
Precision/Correctness
0.935
0.909
0.839
0.963
0.944
0.241
Recall/Completeness
0.895
0.984
0.960
0.800
0.966
0.412
F1
0.914
0.945
0.896
0.874
0.955
0.304

Overall accuracy 0.893

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
0.8839
0.0246
0.0534
0.0190
0.0037
0.0153
building
0.0063
0.9796
0.0062
0.0028
0.0001
0.0050
low_veg
0.0469
0.0214
0.8647
0.0548
0.0001
0.0120
tree
0.0278
0.0077
0.1037
0.8541
0.0023
0.0044
car
0.0588
0.0043
0.0018
0.0204
0.9099
0.0048
clutter
0.1915
0.1742
0.2061
0.0264
0.0061
0.3957
Precision/Correctness
0.901
0.934
0.820
0.912
0.904
0.512
Recall/Completeness
0.884
0.980
0.865
0.854
0.910
0.396
F1
0.892
0.956
0.842
0.882
0.907
0.446

Overall accuracy 0.885

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
0.9125
0.0173
0.0443
0.0121
0.0003
0.0135
building
0.0042
0.9863
0.0037
0.0018
0.0001
0.0039
low_veg
0.0360
0.0116
0.8997
0.0436
0.0000
0.0091
tree
0.0203
0.0060
0.0873
0.8810
0.0017
0.0037
car
0.0063
0.0045
0.0005
0.0123
0.9722
0.0043
clutter
0.1811
0.1727
0.1730
0.0209
0.0071
0.4452
Precision/Correctness
0.929
0.957
0.850
0.937
0.955
0.528
Recall/Completeness
0.913
0.986
0.900
0.881
0.972
0.445
F1
0.921
0.971
0.874
0.908
0.964
0.483

Overall accuracy 0.914

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
0.8689
0.0324
0.0654
0.0205
0.0036
0.0092
building
0.0057
0.9848
0.0044
0.0029
0.0001
0.0022
low_veg
0.0286
0.0122
0.9043
0.0463
0.0000
0.0086
tree
0.0224
0.0047
0.1853
0.7807
0.0012
0.0056
car
0.0588
0.0017
0.0023
0.0302
0.8899
0.0169
clutter
0.1965
0.1757
0.1785
0.0245
0.0024
0.4224
Precision/Correctness
0.895
0.929
0.783
0.916
0.901
0.667
Recall/Completeness
0.869
0.985
0.904
0.781
0.890
0.422
F1
0.882
0.956
0.839
0.843
0.895
0.517

Overall accuracy 0.868

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
0.8995
0.0263
0.0526
0.0140
0.0005
0.0072
building
0.0041
0.9912
0.0013
0.0019
0.0000
0.0015
low_veg
0.0188
0.0068
0.9318
0.0359
0.0000
0.0068
tree
0.0173
0.0036
0.1689
0.8044
0.0010
0.0047
car
0.0082
0.0011
0.0009
0.0220
0.9486
0.0193
clutter
0.1930
0.1615
0.1479
0.0174
0.0029
0.4775
Precision/Correctness
0.923
0.949
0.807
0.940
0.953
0.707
Recall/Completeness
0.899
0.991
0.932
0.804
0.949
0.477
F1
0.911
0.969
0.865
0.867
0.951
0.570

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_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9291
0.0098
0.0299
0.0234
0.0021
0.0057
building
0.0109
0.9726
0.0065
0.0051
0.0001
0.0047
low_veg
0.0560
0.0087
0.8205
0.1076
0.0002
0.0069
tree
0.0288
0.0036
0.0452
0.9188
0.0017
0.0018
car
0.0663
0.0020
0.0026
0.0275
0.8950
0.0066
clutter
0.5079
0.1126
0.1410
0.0688
0.0079
0.1618
Precision/Correctness
0.846
0.963
0.817
0.799
0.931
0.700
Recall/Completeness
0.929
0.973
0.821
0.919
0.895
0.162
F1
0.886
0.968
0.819
0.855
0.913
0.263

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
0.9494
0.0060
0.0235
0.0167
0.0003
0.0042
building
0.0058
0.9839
0.0026
0.0037
0.0001
0.0038
low_veg
0.0449
0.0037
0.8497
0.0965
0.0000
0.0052
tree
0.0176
0.0023
0.0324
0.9451
0.0012
0.0013
car
0.0051
0.0019
0.0004
0.0183
0.9676
0.0068
clutter
0.5374
0.0995
0.1253
0.0611
0.0092
0.1675
Precision/Correctness
0.870
0.975
0.856
0.835
0.954
0.737
Recall/Completeness
0.949
0.984
0.850
0.945
0.968
0.168
F1
0.908
0.980
0.853
0.887
0.961
0.273

Overall accuracy 0.900

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
0.8853
0.0215
0.0570
0.0149
0.0039
0.0174
building
0.0077
0.9730
0.0055
0.0057
0.0000
0.0080
low_veg
0.0769
0.0142
0.7969
0.0671
0.0002
0.0447
tree
0.0325
0.0044
0.1346
0.8163
0.0020
0.0102
car
0.0493
0.0011
0.0015
0.0262
0.8989
0.0230
clutter
0.3966
0.0440
0.1943
0.0145
0.0005
0.3501
Precision/Correctness
0.774
0.934
0.752
0.873
0.933
0.649
Recall/Completeness
0.885
0.973
0.797
0.816
0.899
0.350
F1
0.826
0.953
0.774
0.844
0.916
0.455

Overall accuracy 0.817

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
0.9069
0.0165
0.0511
0.0095
0.0003
0.0156
building
0.0052
0.9805
0.0030
0.0046
0.0000
0.0066
low_veg
0.0654
0.0088
0.8220
0.0588
0.0000
0.0449
tree
0.0244
0.0031
0.1171
0.8447
0.0015
0.0092
car
0.0073
0.0004
0.0011
0.0189
0.9487
0.0235
clutter
0.4075
0.0408
0.1865
0.0113
0.0003
0.3535
Precision/Correctness
0.788
0.950
0.772
0.899
0.977
0.669
Recall/Completeness
0.907
0.981
0.822
0.845
0.949
0.354
F1
0.843
0.965
0.796
0.871
0.963
0.463

Overall accuracy 0.837

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
0.9067
0.0394
0.0396
0.0058
0.0032
0.0053
building
0.0091
0.9802
0.0068
0.0018
0.0002
0.0018
low_veg
0.0660
0.0231
0.8571
0.0431
0.0005
0.0102
tree
0.0684
0.0071
0.1175
0.7959
0.0057
0.0053
car
0.0732
0.0076
0.0021
0.0078
0.8952
0.0140
clutter
0.2754
0.2513
0.1824
0.0167
0.0066
0.2676
Precision/Correctness
0.906
0.922
0.796
0.909
0.908
0.604
Recall/Completeness
0.907
0.980
0.857
0.796
0.895
0.268
F1
0.906
0.950
0.825
0.849
0.901
0.371

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_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9247
0.0332
0.0344
0.0034
0.0005
0.0037
building
0.0072
0.9855
0.0046
0.0011
0.0002
0.0014
low_veg
0.0454
0.0137
0.8974
0.0359
0.0000
0.0074
tree
0.0516
0.0052
0.0977
0.8369
0.0041
0.0045
car
0.0085
0.0081
0.0002
0.0042
0.9620
0.0171
clutter
0.2786
0.2502
0.1841
0.0125
0.0060
0.2686
Precision/Correctness
0.933
0.940
0.823
0.934
0.953
0.629
Recall/Completeness
0.925
0.986
0.897
0.837
0.962
0.269
F1
0.929
0.962
0.859
0.883
0.957
0.376

Overall accuracy 0.914

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
0.9176
0.0197
0.0298
0.0194
0.0021
0.0113
building
0.0100
0.9791
0.0055
0.0026
0.0000
0.0028
low_veg
0.0645
0.0108
0.8318
0.0812
0.0000
0.0117
tree
0.0520
0.0056
0.0971
0.8403
0.0023
0.0026
car
0.0834
0.0010
0.0008
0.0074
0.8951
0.0123
clutter
0.2008
0.2156
0.1437
0.0189
0.0586
0.3624
Precision/Correctness
0.910
0.945
0.850
0.816
0.888
0.610
Recall/Completeness
0.918
0.979
0.832
0.840
0.895
0.362
F1
0.914
0.962
0.841
0.828
0.891
0.455

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
0.9372
0.0146
0.0250
0.0140
0.0002
0.0089
building
0.0062
0.9861
0.0036
0.0019
0.0000
0.0022
low_veg
0.0576
0.0062
0.8544
0.0721
0.0000
0.0097
tree
0.0362
0.0037
0.0838
0.8724
0.0018
0.0021
car
0.0080
0.0009
0.0002
0.0049
0.9728
0.0132
clutter
0.1710
0.2013
0.1329
0.0176
0.0735
0.4038
Precision/Correctness
0.935
0.962
0.877
0.844
0.908
0.628
Recall/Completeness
0.937
0.986
0.854
0.872
0.973
0.404
F1
0.936
0.974
0.866
0.858
0.939
0.491

Overall accuracy 0.915

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
0.9234
0.0121
0.0249
0.0262
0.0014
0.0120
building
0.0076
0.9835
0.0044
0.0019
0.0001
0.0026
low_veg
0.0564
0.0128
0.8117
0.1029
0.0002
0.0159
tree
0.0480
0.0051
0.0650
0.8733
0.0034
0.0053
car
0.0881
0.0013
0.0049
0.0140
0.8697
0.0220
clutter
0.1793
0.2184
0.1446
0.0381
0.0043
0.4153
Precision/Correctness
0.870
0.915
0.849
0.827
0.926
0.784
Recall/Completeness
0.923
0.983
0.812
0.873
0.870
0.415
F1
0.896
0.948
0.830
0.850
0.897
0.543

Overall accuracy 0.868

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
0.9423
0.0092
0.0179
0.0198
0.0001
0.0106
building
0.0057
0.9882
0.0024
0.0014
0.0000
0.0023
low_veg
0.0412
0.0087
0.8391
0.0968
0.0000
0.0142
tree
0.0373
0.0041
0.0566
0.8949
0.0026
0.0045
car
0.0109
0.0010
0.0017
0.0080
0.9531
0.0254
clutter
0.1612
0.1941
0.1363
0.0360
0.0045
0.4680
Precision/Correctness
0.901
0.935
0.874
0.851
0.951
0.807
Recall/Completeness
0.942
0.988
0.839
0.895
0.953
0.468
F1
0.921
0.961
0.856
0.872
0.952
0.593

Overall accuracy 0.893

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
0.8882
0.0358
0.0450
0.0190
0.0017
0.0103
building
0.0078
0.9751
0.0091
0.0044
0.0003
0.0034
low_veg
0.0389
0.0077
0.8061
0.1218
0.0001
0.0254
tree
0.0359
0.0060
0.0687
0.8856
0.0017
0.0022
car
0.0938
0.0036
0.0036
0.0155
0.8736
0.0099
clutter
0.2422
0.1829
0.1119
0.0130
0.0014
0.4486
Precision/Correctness
0.919
0.893
0.761
0.790
0.956
0.775
Recall/Completeness
0.888
0.975
0.806
0.886
0.874
0.449
F1
0.904
0.932
0.783
0.835
0.913
0.568

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_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9033
0.0321
0.0403
0.0143
0.0005
0.0095
building
0.0046
0.9815
0.0073
0.0033
0.0002
0.0030
low_veg
0.0235
0.0034
0.8340
0.1148
0.0000
0.0243
tree
0.0259
0.0040
0.0593
0.9076
0.0013
0.0018
car
0.0137
0.0032
0.0009
0.0132
0.9583
0.0108
clutter
0.2402
0.1508
0.1032
0.0104
0.0014
0.4940
Precision/Correctness
0.939
0.914
0.783
0.819
0.975
0.794
Recall/Completeness
0.903
0.981
0.834
0.908
0.958
0.494
F1
0.921
0.946
0.808
0.861
0.967
0.609

Overall accuracy 0.889

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
0.9306
0.0119
0.0226
0.0147
0.0017
0.0186
building
0.0346
0.9308
0.0185
0.0010
0.0000
0.0151
low_veg
0.0210
0.0062
0.9309
0.0395
0.0000
0.0024
tree
0.0648
0.0023
0.0686
0.8604
0.0012
0.0028
car
0.0510
0.0010
0.0001
0.0061
0.9267
0.0152
clutter
0.2636
0.0239
0.2197
0.0287
0.0215
0.4426
Precision/Correctness
0.928
0.971
0.896
0.867
0.902
0.437
Recall/Completeness
0.931
0.931
0.931
0.860
0.927
0.443
F1
0.930
0.950
0.913
0.863
0.914
0.440

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
0.9473
0.0092
0.0179
0.0090
0.0002
0.0164
building
0.0312
0.9401
0.0146
0.0005
0.0000
0.0136
low_veg
0.0134
0.0034
0.9490
0.0328
0.0000
0.0013
tree
0.0476
0.0014
0.0570
0.8908
0.0009
0.0022
car
0.0034
0.0011
0.0000
0.0031
0.9783
0.0141
clutter
0.2640
0.0212
0.2144
0.0262
0.0220
0.4522
Precision/Correctness
0.944
0.980
0.915
0.897
0.944
0.445
Recall/Completeness
0.947
0.940
0.949
0.891
0.978
0.452
F1
0.946
0.960
0.931
0.894
0.961
0.449

Overall accuracy 0.931

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
0.9438
0.0183
0.0204
0.0102
0.0040
0.0032
building
0.0243
0.9647
0.0065
0.0007
0.0005
0.0034
low_veg
0.0482
0.0163
0.8485
0.0789
0.0004
0.0078
tree
0.0469
0.0072
0.0647
0.8746
0.0059
0.0007
car
0.0524
0.0026
0.0017
0.0083
0.9318
0.0031
clutter
0.1708
0.3644
0.1681
0.0162
0.0090
0.2714
Precision/Correctness
0.937
0.939
0.867
0.830
0.920
0.634
Recall/Completeness
0.944
0.965
0.848
0.875
0.932
0.271
F1
0.940
0.952
0.858
0.852
0.926
0.380

Overall accuracy 0.913

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
0.9601
0.0140
0.0158
0.0074
0.0002
0.0025
building
0.0206
0.9716
0.0041
0.0004
0.0004
0.0029
low_veg
0.0320
0.0103
0.8793
0.0721
0.0000
0.0063
tree
0.0346
0.0054
0.0534
0.9014
0.0047
0.0005
car
0.0038
0.0017
0.0009
0.0050
0.9855
0.0032
clutter
0.1496
0.3997
0.1572
0.0125
0.0082
0.2729
Precision/Correctness
0.955
0.950
0.892
0.857
0.968
0.656
Recall/Completeness
0.960
0.972
0.879
0.901
0.985
0.273
F1
0.958
0.961
0.886
0.879
0.977
0.385

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_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9278
0.0097
0.0301
0.0097
0.0044
0.0184
building
0.0126
0.9674
0.0133
0.0019
0.0002
0.0047
low_veg
0.0411
0.0121
0.8488
0.0515
0.0012
0.0452
tree
0.0422
0.0047
0.1324
0.8112
0.0039
0.0055
car
0.0587
0.0037
0.0039
0.0137
0.9096
0.0103
clutter
0.0628
0.0178
0.1302
0.0101
0.0057
0.7734
Precision/Correctness
0.943
0.968
0.746
0.908
0.907
0.744
Recall/Completeness
0.928
0.967
0.849
0.811
0.910
0.773
F1
0.935
0.968
0.794
0.857
0.908
0.758

Overall accuracy 0.897

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
0.9469
0.0068
0.0238
0.0062
0.0003
0.0160
building
0.0082
0.9764
0.0103
0.0010
0.0002
0.0040
low_veg
0.0239
0.0106
0.8797
0.0411
0.0002
0.0446
tree
0.0323
0.0032
0.1176
0.8394
0.0030
0.0046
car
0.0078
0.0038
0.0003
0.0098
0.9673
0.0111
clutter
0.0530
0.0165
0.1208
0.0084
0.0056
0.7958
Precision/Correctness
0.963
0.977
0.769
0.935
0.961
0.769
Recall/Completeness
0.947
0.976
0.880
0.839
0.967
0.796
F1
0.955
0.977
0.821
0.885
0.964
0.782

Overall accuracy 0.919

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
0.9193
0.0206
0.0116
0.0241
0.0017
0.0227
building
0.0176
0.9513
0.0041
0.0022
0.0000
0.0248
low_veg
0.0504
0.0094
0.7435
0.1893
0.0002
0.0073
tree
0.0241
0.0053
0.0759
0.8921
0.0009
0.0016
car
0.0474
0.0054
0.0006
0.0229
0.9141
0.0095
clutter
0.1179
0.0136
0.0893
0.0042
0.0060
0.7690
Precision/Correctness
0.954
0.943
0.784
0.683
0.896
0.796
Recall/Completeness
0.919
0.951
0.743
0.892
0.914
0.769
F1
0.936
0.947
0.763
0.773
0.905
0.782

Overall accuracy 0.893

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
0.9341
0.0174
0.0094
0.0172
0.0002
0.0217
building
0.0146
0.9566
0.0033
0.0013
0.0000
0.0241
low_veg
0.0359
0.0051
0.7716
0.1817
0.0000
0.0057
tree
0.0152
0.0036
0.0696
0.9099
0.0006
0.0012
car
0.0046
0.0067
0.0000
0.0153
0.9647
0.0087
clutter
0.1107
0.0123
0.0886
0.0037
0.0057
0.7791
Precision/Correctness
0.963
0.954
0.799
0.712
0.938
0.807
Recall/Completeness
0.934
0.957
0.772
0.910
0.965
0.779
F1
0.948
0.955
0.785
0.799
0.951
0.793

Overall accuracy 0.908

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image