Detailled semantic labeling (2D) result


Name J. Wang
Affiliation Fac. of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China
Abbreviation SWJ
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
0.898
0.017
0.064
0.010
0.001
0.010
building
0.015
0.966
0.014
0.002
0.000
0.004
low_veg
0.026
0.009
0.920
0.038
0.000
0.007
tree
0.045
0.006
0.188
0.756
0.003
0.002
car
0.097
0.012
0.005
0.009
0.867
0.010
clutter
0.179
0.129
0.245
0.017
0.004
0.426
Precision/Correctness
0.914
0.941
0.743
0.910
0.939
0.768
Recall/Completeness
0.898
0.966
0.920
0.756
0.867
0.426
F1
0.906
0.953
0.822
0.826
0.902
0.548

Overall accuracy 0.872

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
0.915
0.013
0.055
0.007
0.000
0.009
building
0.012
0.973
0.010
0.002
0.000
0.003
low_veg
0.016
0.005
0.940
0.033
0.000
0.006
tree
0.034
0.005
0.169
0.788
0.002
0.001
car
0.014
0.014
0.002
0.006
0.953
0.011
clutter
0.163
0.115
0.232
0.014
0.004
0.472
Precision/Correctness
0.937
0.956
0.767
0.930
0.960
0.783
Recall/Completeness
0.915
0.973
0.940
0.788
0.953
0.472
F1
0.926
0.965
0.845
0.853
0.957
0.589

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
0.8934
0.0190
0.0565
0.0148
0.0020
0.0144
building
0.0098
0.9490
0.0285
0.0069
0.0002
0.0056
low_veg
0.0190
0.0084
0.9125
0.0503
0.0002
0.0096
tree
0.0305
0.0080
0.1110
0.8468
0.0011
0.0026
car
0.0736
0.0393
0.0037
0.0100
0.8657
0.0077
clutter
0.1022
0.2140
0.1542
0.0356
0.0056
0.4885
Precision/Correctness
0.926
0.928
0.852
0.904
0.914
0.534
Recall/Completeness
0.893
0.949
0.912
0.847
0.866
0.488
F1
0.910
0.938
0.881
0.874
0.889
0.510

Overall accuracy 0.890

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
0.9179
0.0131
0.0470
0.0096
0.0002
0.0122
building
0.0073
0.9572
0.0248
0.0055
0.0002
0.0050
low_veg
0.0125
0.0044
0.9353
0.0389
0.0001
0.0088
tree
0.0224
0.0065
0.0915
0.8767
0.0008
0.0021
car
0.0180
0.0485
0.0021
0.0045
0.9175
0.0093
clutter
0.0669
0.2160
0.1102
0.0291
0.0063
0.5714
Precision/Correctness
0.951
0.950
0.878
0.929
0.957
0.531
Recall/Completeness
0.918
0.957
0.935
0.877
0.918
0.571
F1
0.934
0.954
0.906
0.902
0.937
0.551

Overall accuracy 0.916

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
0.8796
0.0068
0.1044
0.0072
0.0005
0.0015
building
0.0029
0.9802
0.0120
0.0036
0.0000
0.0014
low_veg
0.0096
0.0036
0.9557
0.0302
0.0000
0.0009
tree
0.0183
0.0036
0.2056
0.7717
0.0007
0.0002
car
0.0961
0.0330
0.0070
0.0112
0.8415
0.0112
clutter
0.1056
0.2722
0.3080
0.0468
0.0012
0.2661
Precision/Correctness
0.921
0.932
0.813
0.951
0.940
0.533
Recall/Completeness
0.880
0.980
0.956
0.772
0.841
0.266
F1
0.900
0.955
0.878
0.852
0.888
0.355

Overall accuracy 0.877

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_2_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9072
0.0036
0.0834
0.0045
0.0000
0.0014
building
0.0008
0.9890
0.0069
0.0022
0.0000
0.0011
low_veg
0.0055
0.0018
0.9673
0.0247
0.0000
0.0007
tree
0.0143
0.0028
0.1869
0.7955
0.0005
0.0001
car
0.0108
0.0382
0.0016
0.0086
0.9269
0.0138
clutter
0.0616
0.3000
0.2726
0.0516
0.0009
0.3134
Precision/Correctness
0.946
0.955
0.832
0.962
0.962
0.533
Recall/Completeness
0.907
0.989
0.967
0.795
0.927
0.313
F1
0.926
0.972
0.895
0.871
0.944
0.395

Overall accuracy 0.896

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
0.8815
0.0197
0.0879
0.0064
0.0014
0.0030
building
0.0096
0.9785
0.0091
0.0023
0.0000
0.0005
low_veg
0.0396
0.0170
0.9240
0.0183
0.0000
0.0010
tree
0.0478
0.0102
0.2182
0.7193
0.0034
0.0011
car
0.1020
0.0088
0.0029
0.0069
0.8761
0.0034
clutter
0.2576
0.1709
0.4226
0.0057
0.0046
0.1385
Precision/Correctness
0.879
0.940
0.716
0.961
0.922
0.696
Recall/Completeness
0.882
0.979
0.924
0.719
0.876
0.139
F1
0.880
0.959
0.807
0.823
0.899
0.231

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9033
0.0132
0.0766
0.0039
0.0000
0.0030
building
0.0071
0.9856
0.0051
0.0017
0.0000
0.0005
low_veg
0.0289
0.0087
0.9479
0.0140
0.0000
0.0006
tree
0.0378
0.0086
0.1959
0.7539
0.0028
0.0010
car
0.0157
0.0097
0.0004
0.0043
0.9661
0.0038
clutter
0.2401
0.1716
0.4170
0.0031
0.0055
0.1626
Precision/Correctness
0.912
0.960
0.741
0.974
0.945
0.697
Recall/Completeness
0.903
0.986
0.948
0.754
0.966
0.163
F1
0.907
0.973
0.832
0.850
0.956
0.264

Overall accuracy 0.887

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
0.8343
0.0318
0.1108
0.0137
0.0014
0.0080
building
0.0043
0.9867
0.0065
0.0019
0.0000
0.0006
low_veg
0.0153
0.0147
0.9353
0.0336
0.0000
0.0011
tree
0.0278
0.0057
0.2058
0.7574
0.0013
0.0019
car
0.0947
0.0328
0.0064
0.0295
0.8202
0.0164
clutter
0.1682
0.2076
0.2706
0.0196
0.0036
0.3305
Precision/Correctness
0.905
0.920
0.746
0.936
0.929
0.782
Recall/Completeness
0.834
0.987
0.935
0.757
0.820
0.330
F1
0.868
0.952
0.830
0.837
0.871
0.465

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
0.8625
0.0245
0.0958
0.0094
0.0001
0.0078
building
0.0032
0.9920
0.0031
0.0012
0.0000
0.0005
low_veg
0.0079
0.0091
0.9553
0.0272
0.0000
0.0006
tree
0.0223
0.0046
0.1845
0.7860
0.0011
0.0015
car
0.0171
0.0396
0.0023
0.0216
0.9004
0.0191
clutter
0.1554
0.2001
0.2334
0.0158
0.0044
0.3910
Precision/Correctness
0.933
0.941
0.773
0.954
0.954
0.802
Recall/Completeness
0.862
0.992
0.955
0.786
0.900
0.391
F1
0.896
0.966
0.854
0.862
0.926
0.526

Overall accuracy 0.885

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
0.9091
0.0144
0.0586
0.0141
0.0005
0.0033
building
0.0075
0.9802
0.0082
0.0024
0.0000
0.0016
low_veg
0.0279
0.0080
0.8988
0.0637
0.0001
0.0016
tree
0.0393
0.0045
0.0952
0.8591
0.0016
0.0003
car
0.1016
0.0011
0.0040
0.0185
0.8747
0.0002
clutter
0.3263
0.1394
0.3640
0.0467
0.0035
0.1201
Precision/Correctness
0.885
0.954
0.694
0.860
0.969
0.816
Recall/Completeness
0.909
0.980
0.899
0.859
0.875
0.120
F1
0.897
0.967
0.783
0.860
0.919
0.209

Overall accuracy 0.871

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
0.9268
0.0102
0.0498
0.0102
0.0000
0.0029
building
0.0041
0.9887
0.0041
0.0016
0.0000
0.0015
low_veg
0.0191
0.0033
0.9196
0.0567
0.0000
0.0013
tree
0.0252
0.0028
0.0747
0.8963
0.0009
0.0002
car
0.0107
0.0009
0.0008
0.0115
0.9759
0.0003
clutter
0.3279
0.1251
0.3684
0.0413
0.0039
0.1333
Precision/Correctness
0.911
0.968
0.724
0.889
0.980
0.833
Recall/Completeness
0.927
0.989
0.920
0.896
0.976
0.133
F1
0.919
0.978
0.810
0.892
0.978
0.230

Overall accuracy 0.896

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
0.8483
0.0247
0.0926
0.0068
0.0015
0.0260
building
0.0043
0.9840
0.0059
0.0033
0.0000
0.0025
low_veg
0.0409
0.0149
0.8900
0.0374
0.0001
0.0168
tree
0.0382
0.0064
0.2128
0.7349
0.0026
0.0052
car
0.0922
0.0117
0.0051
0.0162
0.8589
0.0158
clutter
0.1356
0.0580
0.2893
0.0067
0.0003
0.5101
Precision/Correctness
0.868
0.921
0.686
0.920
0.955
0.804
Recall/Completeness
0.848
0.984
0.890
0.735
0.859
0.510
F1
0.858
0.952
0.775
0.817
0.905
0.624

Overall accuracy 0.831

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
0.8638
0.0195
0.0856
0.0046
0.0001
0.0264
building
0.0023
0.9900
0.0031
0.0025
0.0000
0.0021
low_veg
0.0295
0.0093
0.9108
0.0332
0.0000
0.0171
tree
0.0291
0.0049
0.1887
0.7706
0.0020
0.0047
car
0.0201
0.0129
0.0022
0.0119
0.9373
0.0157
clutter
0.1306
0.0542
0.2767
0.0051
0.0002
0.5333
Precision/Correctness
0.893
0.939
0.704
0.937
0.976
0.816
Recall/Completeness
0.864
0.990
0.911
0.771
0.937
0.533
F1
0.878
0.964
0.794
0.846
0.956
0.645

Overall accuracy 0.851

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
0.8845
0.0229
0.0875
0.0012
0.0012
0.0028
building
0.0063
0.9692
0.0178
0.0010
0.0001
0.0056
low_veg
0.0376
0.0159
0.9372
0.0061
0.0002
0.0030
tree
0.1051
0.0083
0.2799
0.5937
0.0104
0.0026
car
0.1116
0.0194
0.0083
0.0014
0.8497
0.0096
clutter
0.1769
0.3195
0.3197
0.0043
0.0047
0.1749
Precision/Correctness
0.911
0.934
0.655
0.976
0.913
0.575
Recall/Completeness
0.884
0.969
0.937
0.594
0.850
0.175
F1
0.898
0.951
0.771
0.738
0.880
0.268

Overall accuracy 0.861

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
0.8988
0.0174
0.0807
0.0007
0.0001
0.0023
building
0.0041
0.9752
0.0145
0.0007
0.0001
0.0053
low_veg
0.0196
0.0085
0.9642
0.0048
0.0000
0.0028
tree
0.0888
0.0068
0.2536
0.6398
0.0088
0.0022
car
0.0164
0.0233
0.0013
0.0007
0.9468
0.0115
clutter
0.1415
0.3398
0.3158
0.0038
0.0041
0.1950
Precision/Correctness
0.941
0.950
0.676
0.984
0.933
0.574
Recall/Completeness
0.899
0.975
0.964
0.640
0.947
0.195
F1
0.919
0.962
0.795
0.775
0.940
0.291

Overall accuracy 0.885

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
0.8781
0.0150
0.0681
0.0240
0.0014
0.0133
building
0.0142
0.9689
0.0082
0.0042
0.0000
0.0045
low_veg
0.0272
0.0104
0.8771
0.0797
0.0000
0.0056
tree
0.0341
0.0039
0.1020
0.8556
0.0026
0.0017
car
0.0901
0.0056
0.0005
0.0079
0.8918
0.0042
clutter
0.1431
0.3177
0.1886
0.0273
0.0095
0.3138
Precision/Correctness
0.935
0.939
0.793
0.806
0.954
0.587
Recall/Completeness
0.878
0.969
0.877
0.856
0.892
0.314
F1
0.906
0.954
0.833
0.830
0.922
0.409

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8990
0.0090
0.0622
0.0181
0.0001
0.0116
building
0.0120
0.9747
0.0060
0.0033
0.0000
0.0040
low_veg
0.0229
0.0057
0.8968
0.0706
0.0000
0.0040
tree
0.0217
0.0025
0.0869
0.8855
0.0020
0.0013
car
0.0086
0.0064
0.0001
0.0064
0.9740
0.0046
clutter
0.1122
0.3242
0.1797
0.0276
0.0111
0.3452
Precision/Correctness
0.957
0.958
0.820
0.834
0.973
0.587
Recall/Completeness
0.899
0.975
0.897
0.885
0.974
0.345
F1
0.927
0.966
0.857
0.859
0.974
0.435

Overall accuracy 0.907

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
0.8942
0.0140
0.0378
0.0252
0.0011
0.0277
building
0.0190
0.9660
0.0097
0.0016
0.0001
0.0036
low_veg
0.0358
0.0111
0.8512
0.0883
0.0002
0.0134
tree
0.0409
0.0040
0.0857
0.8632
0.0040
0.0022
car
0.0968
0.0147
0.0068
0.0091
0.8532
0.0194
clutter
0.1514
0.2051
0.2095
0.0477
0.0068
0.3794
Precision/Correctness
0.881
0.916
0.803
0.838
0.915
0.703
Recall/Completeness
0.894
0.966
0.851
0.863
0.853
0.379
F1
0.887
0.940
0.826
0.851
0.883
0.493

Overall accuracy 0.859

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
0.9120
0.0116
0.0295
0.0194
0.0001
0.0274
building
0.0169
0.9718
0.0070
0.0012
0.0001
0.0032
low_veg
0.0235
0.0084
0.8727
0.0833
0.0000
0.0121
tree
0.0307
0.0031
0.0753
0.8861
0.0031
0.0018
car
0.0128
0.0156
0.0031
0.0055
0.9415
0.0216
clutter
0.1324
0.1835
0.2033
0.0472
0.0072
0.4263
Precision/Correctness
0.911
0.934
0.828
0.860
0.933
0.719
Recall/Completeness
0.912
0.972
0.873
0.886
0.941
0.426
F1
0.911
0.953
0.850
0.873
0.937
0.535

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: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8987
0.0124
0.0794
0.0056
0.0008
0.0031
building
0.0185
0.9575
0.0204
0.0029
0.0000
0.0008
low_veg
0.0349
0.0050
0.9216
0.0288
0.0001
0.0096
tree
0.0729
0.0049
0.2348
0.6827
0.0043
0.0004
car
0.1404
0.0092
0.0079
0.0062
0.8205
0.0157
clutter
0.1704
0.1339
0.2409
0.0030
0.0027
0.4491
Precision/Correctness
0.914
0.937
0.619
0.914
0.956
0.906
Recall/Completeness
0.899
0.957
0.922
0.683
0.821
0.449
F1
0.906
0.947
0.741
0.782
0.883
0.601

Overall accuracy 0.858

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
0.9100
0.0093
0.0733
0.0040
0.0004
0.0030
building
0.0140
0.9657
0.0174
0.0022
0.0000
0.0007
low_veg
0.0194
0.0019
0.9439
0.0250
0.0000
0.0098
tree
0.0591
0.0033
0.2183
0.7151
0.0039
0.0003
car
0.0241
0.0111
0.0039
0.0051
0.9375
0.0183
clutter
0.1466
0.1070
0.2316
0.0019
0.0026
0.5104
Precision/Correctness
0.940
0.955
0.635
0.934
0.962
0.914
Recall/Completeness
0.910
0.966
0.944
0.715
0.937
0.510
F1
0.925
0.960
0.759
0.810
0.949
0.655

Overall accuracy 0.881

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_6_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9309
0.0232
0.0366
0.0053
0.0006
0.0034
building
0.0342
0.9369
0.0265
0.0004
0.0000
0.0020
low_veg
0.0122
0.0023
0.9767
0.0086
0.0000
0.0003
tree
0.1135
0.0031
0.2192
0.6608
0.0025
0.0009
car
0.0933
0.0299
0.0009
0.0002
0.8642
0.0115
clutter
0.2731
0.0750
0.4057
0.0116
0.0039
0.2307
Precision/Correctness
0.918
0.951
0.809
0.948
0.945
0.695
Recall/Completeness
0.931
0.937
0.977
0.661
0.864
0.231
F1
0.924
0.944
0.885
0.779
0.903
0.346

Overall accuracy 0.896

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
0.9431
0.0211
0.0297
0.0031
0.0000
0.0029
building
0.0301
0.9468
0.0211
0.0002
0.0000
0.0018
low_veg
0.0063
0.0009
0.9857
0.0068
0.0000
0.0002
tree
0.0900
0.0020
0.2033
0.7018
0.0021
0.0007
car
0.0119
0.0372
0.0003
0.0001
0.9372
0.0132
clutter
0.2538
0.0753
0.4101
0.0115
0.0035
0.2457
Precision/Correctness
0.937
0.959
0.830
0.964
0.966
0.713
Recall/Completeness
0.943
0.947
0.986
0.702
0.937
0.246
F1
0.940
0.953
0.901
0.812
0.952
0.365

Overall accuracy 0.914

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
0.9406
0.0067
0.0443
0.0036
0.0019
0.0029
building
0.0354
0.9511
0.0106
0.0007
0.0000
0.0022
low_veg
0.0292
0.0055
0.9411
0.0221
0.0002
0.0019
tree
0.0695
0.0059
0.2056
0.7082
0.0104
0.0004
car
0.0815
0.0075
0.0043
0.0022
0.8980
0.0065
clutter
0.3425
0.0961
0.3827
0.0037
0.0067
0.1683
Precision/Correctness
0.919
0.978
0.747
0.928
0.936
0.629
Recall/Completeness
0.941
0.951
0.941
0.708
0.898
0.168
F1
0.930
0.964
0.833
0.803
0.917
0.265

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_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9521
0.0040
0.0384
0.0025
0.0000
0.0029
building
0.0303
0.9603
0.0069
0.0004
0.0000
0.0021
low_veg
0.0153
0.0026
0.9610
0.0193
0.0000
0.0018
tree
0.0555
0.0046
0.1863
0.7443
0.0089
0.0003
car
0.0074
0.0074
0.0013
0.0009
0.9757
0.0072
clutter
0.3283
0.1005
0.3768
0.0022
0.0065
0.1857
Precision/Correctness
0.940
0.985
0.770
0.945
0.960
0.628
Recall/Completeness
0.952
0.960
0.961
0.744
0.976
0.186
F1
0.946
0.972
0.855
0.833
0.968
0.287

Overall accuracy 0.921

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
0.9029
0.0115
0.0647
0.0044
0.0021
0.0144
building
0.0153
0.9540
0.0232
0.0012
0.0001
0.0062
low_veg
0.0287
0.0014
0.9136
0.0219
0.0005
0.0340
tree
0.0424
0.0040
0.2587
0.6875
0.0044
0.0029
car
0.0870
0.0007
0.0096
0.0084
0.8841
0.0103
clutter
0.0812
0.0544
0.2062
0.0017
0.0037
0.6528
Precision/Correctness
0.940
0.963
0.621
0.950
0.937
0.755
Recall/Completeness
0.903
0.954
0.914
0.688
0.884
0.653
F1
0.921
0.959
0.740
0.798
0.910
0.700

Overall accuracy 0.867

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
0.9175
0.0101
0.0559
0.0028
0.0001
0.0138
building
0.0103
0.9644
0.0185
0.0008
0.0001
0.0060
low_veg
0.0147
0.0001
0.9325
0.0183
0.0000
0.0343
tree
0.0321
0.0030
0.2368
0.7221
0.0035
0.0025
car
0.0123
0.0006
0.0033
0.0060
0.9661
0.0116
clutter
0.0698
0.0547
0.1904
0.0008
0.0035
0.6809
Precision/Correctness
0.961
0.969
0.639
0.966
0.968
0.769
Recall/Completeness
0.917
0.964
0.933
0.722
0.966
0.681
F1
0.939
0.967
0.758
0.826
0.967
0.722

Overall accuracy 0.888

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
0.9233
0.0208
0.0261
0.0134
0.0009
0.0156
building
0.0124
0.9654
0.0063
0.0009
0.0000
0.0150
low_veg
0.0313
0.0041
0.8913
0.0640
0.0001
0.0093
tree
0.0300
0.0146
0.2338
0.7200
0.0013
0.0002
car
0.0773
0.0025
0.0021
0.0120
0.9015
0.0046
clutter
0.1650
0.0121
0.0529
0.0009
0.0022
0.7669
Precision/Correctness
0.950
0.943
0.707
0.805
0.944
0.851
Recall/Completeness
0.923
0.965
0.891
0.720
0.901
0.767
F1
0.936
0.954
0.789
0.760
0.922
0.807

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
0.9362
0.0176
0.0219
0.0088
0.0002
0.0153
building
0.0093
0.9709
0.0046
0.0006
0.0000
0.0145
low_veg
0.0201
0.0015
0.9088
0.0603
0.0000
0.0093
tree
0.0163
0.0132
0.2227
0.7469
0.0008
0.0001
car
0.0126
0.0017
0.0008
0.0075
0.9733
0.0041
clutter
0.1541
0.0106
0.0504
0.0006
0.0021
0.7822
Precision/Correctness
0.960
0.953
0.726
0.839
0.970
0.858
Recall/Completeness
0.936
0.971
0.909
0.747
0.973
0.782
F1
0.948
0.962
0.807
0.790
0.972
0.818

Overall accuracy 0.914

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image