Detailled semantic labeling (2D) result


Name J. Sherrah (DFCN IRRG nDSM CRF)
Affiliation DST Group, Australia
Abbreviation DST_4
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
0.922
0.020
0.025
0.021
0.006
0.006
building
0.016
0.969
0.009
0.004
0.000
0.002
low_veg
0.064
0.015
0.833
0.080
0.000
0.008
tree
0.039
0.006
0.095
0.858
0.002
0.002
car
0.179
0.009
0.005
0.021
0.780
0.006
clutter
0.312
0.135
0.147
0.027
0.004
0.375
Precision/Correctness
0.874
0.932
0.841
0.849
0.868
0.797
Recall/Completeness
0.922
0.969
0.833
0.858
0.780
0.375
F1
0.897
0.950
0.837
0.854
0.821
0.510

Overall accuracy 0.876

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
0.016
0.020
0.015
0.003
0.005
building
0.012
0.976
0.007
0.003
0.000
0.002
low_veg
0.051
0.009
0.863
0.070
0.000
0.007
tree
0.029
0.004
0.081
0.883
0.001
0.001
car
0.094
0.010
0.002
0.015
0.872
0.006
clutter
0.304
0.120
0.131
0.022
0.005
0.418
Precision/Correctness
0.900
0.950
0.866
0.878
0.918
0.819
Recall/Completeness
0.941
0.976
0.863
0.883
0.872
0.418
F1
0.920
0.963
0.865
0.881
0.895
0.554

Overall accuracy 0.901
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9117
0.0229
0.0274
0.0234
0.0034
0.0112
building
0.0386
0.9262
0.0236
0.0087
0.0000
0.0028
low_veg
0.0601
0.0239
0.8433
0.0691
0.0001
0.0035
tree
0.0306
0.0074
0.1111
0.8485
0.0009
0.0015
car
0.1623
0.0472
0.0037
0.0180
0.7616
0.0071
clutter
0.2026
0.2398
0.1644
0.0568
0.0011
0.3354
Precision/Correctness
0.854
0.896
0.864
0.869
0.890
0.574
Recall/Completeness
0.912
0.926
0.843
0.848
0.762
0.335
F1
0.882
0.911
0.854
0.859
0.821
0.423

Overall accuracy 0.866

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
0.9348
0.0178
0.0204
0.0160
0.0012
0.0097
building
0.0326
0.9379
0.0199
0.0071
0.0000
0.0026
low_veg
0.0501
0.0208
0.8721
0.0543
0.0000
0.0027
tree
0.0221
0.0058
0.0930
0.8775
0.0005
0.0011
car
0.0792
0.0547
0.0018
0.0107
0.8451
0.0085
clutter
0.1581
0.2469
0.1333
0.0507
0.0010
0.4099
Precision/Correctness
0.886
0.918
0.891
0.901
0.946
0.592
Recall/Completeness
0.935
0.938
0.872
0.878
0.845
0.410
F1
0.910
0.928
0.881
0.889
0.893
0.484

Overall accuracy 0.895

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
0.9106
0.0079
0.0539
0.0203
0.0052
0.0020
building
0.0047
0.9842
0.0047
0.0052
0.0000
0.0013
low_veg
0.0249
0.0054
0.9016
0.0660
0.0001
0.0020
tree
0.0150
0.0048
0.0977
0.8814
0.0006
0.0005
car
0.1251
0.0195
0.0044
0.0220
0.8291
0.0000
clutter
0.1287
0.2877
0.2156
0.0799
0.0000
0.2882
Precision/Correctness
0.891
0.915
0.894
0.909
0.829
0.427
Recall/Completeness
0.911
0.984
0.902
0.881
0.829
0.288
F1
0.901
0.948
0.898
0.895
0.829
0.344

Overall accuracy 0.899

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
0.9388
0.0044
0.0387
0.0136
0.0027
0.0018
building
0.0012
0.9933
0.0014
0.0031
0.0000
0.0010
low_veg
0.0188
0.0030
0.9216
0.0548
0.0000
0.0018
tree
0.0109
0.0039
0.0840
0.9004
0.0004
0.0004
car
0.0498
0.0197
0.0002
0.0153
0.9151
0.0000
clutter
0.0757
0.3187
0.1799
0.0842
0.0000
0.3415
Precision/Correctness
0.919
0.943
0.913
0.928
0.889
0.417
Recall/Completeness
0.939
0.993
0.922
0.900
0.915
0.342
F1
0.929
0.967
0.917
0.914
0.902
0.375

Overall accuracy 0.920

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
0.9055
0.0224
0.0331
0.0262
0.0062
0.0065
building
0.0128
0.9780
0.0038
0.0039
0.0000
0.0016
low_veg
0.0698
0.0260
0.8212
0.0788
0.0002
0.0040
tree
0.0273
0.0076
0.0776
0.8853
0.0015
0.0007
car
0.1732
0.0050
0.0037
0.0344
0.7790
0.0047
clutter
0.3485
0.1790
0.2709
0.0293
0.0048
0.1674
Precision/Correctness
0.861
0.932
0.849
0.883
0.867
0.552
Recall/Completeness
0.905
0.978
0.821
0.885
0.779
0.167
F1
0.883
0.954
0.835
0.884
0.821
0.257

Overall accuracy 0.880

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_3_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9329
0.0154
0.0249
0.0178
0.0026
0.0063
building
0.0088
0.9856
0.0017
0.0026
0.0000
0.0013
low_veg
0.0550
0.0150
0.8620
0.0648
0.0001
0.0030
tree
0.0195
0.0059
0.0637
0.9093
0.0011
0.0005
car
0.0815
0.0052
0.0014
0.0254
0.8809
0.0056
clutter
0.3548
0.1796
0.2414
0.0182
0.0054
0.2006
Precision/Correctness
0.896
0.955
0.881
0.913
0.923
0.569
Recall/Completeness
0.933
0.986
0.862
0.909
0.881
0.201
F1
0.914
0.970
0.871
0.911
0.901
0.297

Overall accuracy 0.911

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
0.8927
0.0227
0.0468
0.0307
0.0054
0.0017
building
0.0063
0.9854
0.0044
0.0032
0.0000
0.0007
low_veg
0.0412
0.0142
0.8719
0.0699
0.0001
0.0027
tree
0.0212
0.0048
0.1258
0.8458
0.0006
0.0017
car
0.1600
0.0146
0.0046
0.0461
0.7717
0.0030
clutter
0.2657
0.2032
0.2084
0.0492
0.0019
0.2716
Precision/Correctness
0.870
0.931
0.826
0.886
0.871
0.827
Recall/Completeness
0.893
0.985
0.872
0.846
0.772
0.272
F1
0.881
0.957
0.849
0.865
0.818
0.409

Overall accuracy 0.875

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
0.9227
0.0161
0.0352
0.0226
0.0022
0.0012
building
0.0036
0.9921
0.0017
0.0021
0.0000
0.0004
low_veg
0.0285
0.0074
0.9054
0.0567
0.0000
0.0020
tree
0.0161
0.0035
0.1105
0.8681
0.0005
0.0013
car
0.0777
0.0159
0.0023
0.0356
0.8656
0.0030
clutter
0.2529
0.1972
0.1769
0.0426
0.0018
0.3286
Precision/Correctness
0.906
0.952
0.854
0.913
0.929
0.871
Recall/Completeness
0.923
0.992
0.905
0.868
0.866
0.329
F1
0.914
0.972
0.879
0.890
0.896
0.477

Overall accuracy 0.904

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
0.9313
0.0095
0.0227
0.0278
0.0067
0.0019
building
0.0145
0.9740
0.0056
0.0049
0.0000
0.0010
low_veg
0.0736
0.0143
0.7954
0.1114
0.0003
0.0051
tree
0.0341
0.0038
0.0494
0.9107
0.0012
0.0008
car
0.1781
0.0037
0.0057
0.0368
0.7758
0.0000
clutter
0.5610
0.1294
0.1427
0.0733
0.0029
0.0907
Precision/Correctness
0.821
0.958
0.823
0.785
0.874
0.779
Recall/Completeness
0.931
0.974
0.795
0.911
0.776
0.091
F1
0.872
0.966
0.809
0.843
0.822
0.163

Overall accuracy 0.863

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
0.9516
0.0055
0.0179
0.0205
0.0031
0.0015
building
0.0087
0.9842
0.0028
0.0035
0.0000
0.0008
low_veg
0.0570
0.0068
0.8325
0.0991
0.0000
0.0046
tree
0.0227
0.0023
0.0379
0.9358
0.0007
0.0005
car
0.0931
0.0032
0.0020
0.0277
0.8740
0.0000
clutter
0.5845
0.1153
0.1286
0.0649
0.0032
0.1034
Precision/Correctness
0.850
0.972
0.858
0.823
0.926
0.814
Recall/Completeness
0.952
0.984
0.832
0.936
0.874
0.103
F1
0.898
0.978
0.845
0.876
0.899
0.184

Overall accuracy 0.891

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
0.8850
0.0248
0.0601
0.0163
0.0067
0.0071
building
0.0121
0.9752
0.0031
0.0055
0.0000
0.0040
low_veg
0.1008
0.0213
0.7609
0.0893
0.0002
0.0273
tree
0.0347
0.0067
0.1158
0.8371
0.0013
0.0045
car
0.1847
0.0074
0.0053
0.0273
0.7537
0.0217
clutter
0.4810
0.0559
0.1541
0.0117
0.0006
0.2966
Precision/Correctness
0.729
0.915
0.767
0.851
0.893
0.741
Recall/Completeness
0.885
0.975
0.761
0.837
0.754
0.297
F1
0.799
0.944
0.764
0.844
0.817
0.424

Overall accuracy 0.804

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
0.9057
0.0195
0.0549
0.0107
0.0031
0.0062
building
0.0090
0.9820
0.0013
0.0043
0.0000
0.0034
low_veg
0.0866
0.0150
0.7891
0.0813
0.0000
0.0280
tree
0.0261
0.0050
0.0987
0.8655
0.0009
0.0038
car
0.1058
0.0075
0.0021
0.0199
0.8410
0.0237
clutter
0.4930
0.0513
0.1405
0.0087
0.0004
0.3062
Precision/Correctness
0.746
0.935
0.790
0.877
0.942
0.760
Recall/Completeness
0.906
0.982
0.789
0.866
0.841
0.306
F1
0.818
0.958
0.790
0.871
0.888
0.437

Overall accuracy 0.826

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
0.9375
0.0175
0.0311
0.0064
0.0051
0.0024
building
0.0063
0.9858
0.0043
0.0016
0.0000
0.0020
low_veg
0.0800
0.0263
0.8507
0.0381
0.0008
0.0042
tree
0.0772
0.0098
0.1277
0.7786
0.0040
0.0027
car
0.2012
0.0054
0.0068
0.0138
0.7629
0.0098
clutter
0.3949
0.2640
0.1588
0.0142
0.0009
0.1673
Precision/Correctness
0.886
0.941
0.808
0.912
0.882
0.644
Recall/Completeness
0.938
0.986
0.851
0.779
0.763
0.167
F1
0.911
0.963
0.829
0.840
0.818
0.266

Overall accuracy 0.891

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
0.9557
0.0112
0.0256
0.0038
0.0021
0.0016
building
0.0030
0.9918
0.0025
0.0010
0.0000
0.0018
low_veg
0.0572
0.0154
0.8935
0.0303
0.0003
0.0033
tree
0.0593
0.0075
0.1084
0.8198
0.0029
0.0022
car
0.1074
0.0052
0.0019
0.0086
0.8654
0.0115
clutter
0.4009
0.2721
0.1330
0.0104
0.0007
0.1829
Precision/Correctness
0.918
0.959
0.840
0.939
0.934
0.672
Recall/Completeness
0.956
0.992
0.894
0.820
0.865
0.183
F1
0.937
0.975
0.866
0.875
0.898
0.288

Overall accuracy 0.920

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
0.9223
0.0168
0.0234
0.0288
0.0043
0.0043
building
0.0124
0.9781
0.0046
0.0034
0.0000
0.0015
low_veg
0.0994
0.0142
0.7815
0.0998
0.0001
0.0050
tree
0.0540
0.0061
0.0900
0.8479
0.0018
0.0002
car
0.1902
0.0004
0.0015
0.0083
0.7933
0.0064
clutter
0.3084
0.2859
0.1588
0.0181
0.0293
0.1996
Precision/Correctness
0.875
0.938
0.855
0.775
0.887
0.679
Recall/Completeness
0.922
0.978
0.782
0.848
0.793
0.200
F1
0.898
0.958
0.817
0.810
0.837
0.309

Overall accuracy 0.875

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
0.9415
0.0111
0.0199
0.0225
0.0017
0.0033
building
0.0079
0.9849
0.0033
0.0025
0.0000
0.0014
low_veg
0.0928
0.0086
0.8051
0.0894
0.0000
0.0040
tree
0.0385
0.0041
0.0792
0.8767
0.0014
0.0001
car
0.0936
0.0001
0.0005
0.0053
0.8939
0.0066
clutter
0.2743
0.2833
0.1544
0.0156
0.0366
0.2357
Precision/Correctness
0.903
0.958
0.879
0.805
0.921
0.708
Recall/Completeness
0.942
0.985
0.805
0.877
0.894
0.236
F1
0.922
0.971
0.841
0.839
0.907
0.354

Overall accuracy 0.901

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
0.9320
0.0100
0.0160
0.0299
0.0057
0.0064
building
0.0164
0.9781
0.0031
0.0018
0.0001
0.0006
low_veg
0.0904
0.0110
0.7960
0.0948
0.0003
0.0076
tree
0.0487
0.0051
0.0648
0.8759
0.0026
0.0028
car
0.1957
0.0126
0.0144
0.0162
0.7503
0.0108
clutter
0.2542
0.2099
0.1019
0.0534
0.0022
0.3783
Precision/Correctness
0.822
0.919
0.872
0.826
0.867
0.872
Recall/Completeness
0.932
0.978
0.796
0.876
0.750
0.378
F1
0.874
0.948
0.832
0.850
0.804
0.528

Overall accuracy 0.861

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
0.9513
0.0066
0.0103
0.0231
0.0029
0.0057
building
0.0139
0.9829
0.0015
0.0012
0.0000
0.0005
low_veg
0.0730
0.0062
0.8261
0.0880
0.0001
0.0068
tree
0.0376
0.0040
0.0566
0.8975
0.0020
0.0024
car
0.1058
0.0129
0.0128
0.0102
0.8459
0.0124
clutter
0.2422
0.1808
0.0880
0.0520
0.0024
0.4346
Precision/Correctness
0.854
0.941
0.897
0.850
0.912
0.890
Recall/Completeness
0.951
0.983
0.826
0.897
0.846
0.435
F1
0.900
0.962
0.860
0.873
0.878
0.584

Overall accuracy 0.888

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
0.9234
0.0225
0.0288
0.0180
0.0043
0.0031
building
0.0125
0.9777
0.0038
0.0050
0.0000
0.0010
low_veg
0.0623
0.0085
0.7894
0.1169
0.0002
0.0228
tree
0.0470
0.0044
0.0657
0.8799
0.0011
0.0020
car
0.1975
0.0092
0.0051
0.0175
0.7685
0.0022
clutter
0.1680
0.1607
0.1204
0.0132
0.0021
0.5355
Precision/Correctness
0.915
0.916
0.798
0.794
0.910
0.882
Recall/Completeness
0.923
0.978
0.789
0.880
0.768
0.536
F1
0.919
0.946
0.794
0.835
0.833
0.666

Overall accuracy 0.881

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
0.9392
0.0184
0.0245
0.0135
0.0019
0.0025
building
0.0077
0.9857
0.0022
0.0037
0.0000
0.0007
low_veg
0.0416
0.0031
0.8230
0.1097
0.0000
0.0226
tree
0.0352
0.0025
0.0570
0.9030
0.0007
0.0017
car
0.1039
0.0102
0.0015
0.0142
0.8679
0.0024
clutter
0.1470
0.1277
0.1099
0.0104
0.0019
0.6031
Precision/Correctness
0.941
0.938
0.823
0.824
0.951
0.896
Recall/Completeness
0.939
0.986
0.823
0.903
0.868
0.603
F1
0.940
0.961
0.823
0.862
0.907
0.721

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_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9381
0.0196
0.0164
0.0176
0.0028
0.0055
building
0.0310
0.9493
0.0152
0.0023
0.0000
0.0023
low_veg
0.0261
0.0076
0.9273
0.0387
0.0000
0.0003
tree
0.0958
0.0035
0.0698
0.8295
0.0010
0.0005
car
0.2061
0.0179
0.0001
0.0075
0.7683
0.0001
clutter
0.3220
0.0694
0.3644
0.0235
0.0013
0.2194
Precision/Correctness
0.912
0.953
0.895
0.854
0.887
0.623
Recall/Completeness
0.938
0.949
0.927
0.830
0.768
0.219
F1
0.925
0.951
0.911
0.841
0.823
0.325

Overall accuracy 0.909

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
0.9533
0.0163
0.0121
0.0123
0.0013
0.0048
building
0.0267
0.9572
0.0123
0.0018
0.0000
0.0020
low_veg
0.0167
0.0040
0.9474
0.0318
0.0000
0.0001
tree
0.0759
0.0021
0.0595
0.8613
0.0008
0.0003
car
0.1193
0.0225
0.0000
0.0051
0.8531
0.0000
clutter
0.2961
0.0695
0.3757
0.0209
0.0009
0.2368
Precision/Correctness
0.933
0.964
0.913
0.885
0.936
0.646
Recall/Completeness
0.953
0.957
0.947
0.861
0.853
0.237
F1
0.943
0.961
0.930
0.873
0.893
0.346

Overall accuracy 0.928

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
0.9565
0.0094
0.0112
0.0115
0.0093
0.0021
building
0.0319
0.9617
0.0034
0.0018
0.0009
0.0003
low_veg
0.0874
0.0144
0.8133
0.0772
0.0009
0.0068
tree
0.0503
0.0083
0.0680
0.8696
0.0036
0.0002
car
0.1666
0.0018
0.0028
0.0164
0.8082
0.0043
clutter
0.3914
0.2641
0.1256
0.0179
0.0123
0.1887
Precision/Correctness
0.899
0.957
0.894
0.822
0.845
0.674
Recall/Completeness
0.956
0.962
0.813
0.870
0.808
0.189
F1
0.927
0.960
0.852
0.845
0.826
0.295

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
0.9723
0.0054
0.0079
0.0082
0.0043
0.0019
building
0.0275
0.9689
0.0017
0.0012
0.0006
0.0002
low_veg
0.0665
0.0072
0.8505
0.0695
0.0003
0.0060
tree
0.0383
0.0068
0.0578
0.8942
0.0028
0.0001
car
0.0835
0.0009
0.0012
0.0123
0.8974
0.0047
clutter
0.3739
0.2891
0.1036
0.0145
0.0126
0.2062
Precision/Correctness
0.923
0.969
0.918
0.853
0.902
0.700
Recall/Completeness
0.972
0.969
0.851
0.894
0.897
0.206
F1
0.947
0.969
0.883
0.873
0.900
0.319

Overall accuracy 0.928

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
0.9260
0.0124
0.0219
0.0096
0.0111
0.0191
building
0.0130
0.9279
0.0517
0.0033
0.0000
0.0041
low_veg
0.0900
0.0082
0.8152
0.0619
0.0014
0.0234
tree
0.0548
0.0064
0.1275
0.8052
0.0036
0.0025
car
0.1532
0.0021
0.0089
0.0148
0.8176
0.0033
clutter
0.1581
0.0541
0.1609
0.0072
0.0012
0.6185
Precision/Correctness
0.900
0.955
0.708
0.897
0.832
0.753
Recall/Completeness
0.926
0.928
0.815
0.805
0.818
0.619
F1
0.913
0.941
0.758
0.848
0.825
0.679

Overall accuracy 0.870

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
0.9446
0.0093
0.0158
0.0062
0.0058
0.0183
building
0.0079
0.9355
0.0507
0.0024
0.0000
0.0035
low_veg
0.0725
0.0047
0.8473
0.0522
0.0005
0.0228
tree
0.0432
0.0047
0.1119
0.8353
0.0028
0.0021
car
0.0812
0.0019
0.0026
0.0113
0.9000
0.0030
clutter
0.1469
0.0537
0.1482
0.0051
0.0012
0.6450
Precision/Correctness
0.924
0.965
0.727
0.923
0.890
0.771
Recall/Completeness
0.945
0.936
0.847
0.835
0.900
0.645
F1
0.934
0.950
0.783
0.877
0.895
0.703

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: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9052
0.0467
0.0068
0.0317
0.0033
0.0064
building
0.0088
0.9720
0.0042
0.0034
0.0000
0.0116
low_veg
0.0653
0.0129
0.7053
0.2116
0.0004
0.0046
tree
0.0186
0.0048
0.0706
0.9011
0.0002
0.0047
car
0.1799
0.0242
0.0007
0.0375
0.7578
0.0000
clutter
0.1887
0.0209
0.0764
0.0027
0.0080
0.7033
Precision/Correctness
0.938
0.889
0.810
0.645
0.811
0.906
Recall/Completeness
0.905
0.972
0.705
0.901
0.758
0.703
F1
0.921
0.929
0.754
0.752
0.784
0.792

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: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9199
0.0436
0.0048
0.0240
0.0016
0.0061
building
0.0060
0.9771
0.0031
0.0024
0.0000
0.0114
low_veg
0.0508
0.0090
0.7341
0.2020
0.0001
0.0040
tree
0.0095
0.0034
0.0640
0.9182
0.0000
0.0049
car
0.1025
0.0303
0.0000
0.0300
0.8372
0.0000
clutter
0.1776
0.0193
0.0753
0.0021
0.0076
0.7181
Precision/Correctness
0.950
0.900
0.828
0.674
0.854
0.911
Recall/Completeness
0.920
0.977
0.734
0.918
0.837
0.718
F1
0.935
0.937
0.778
0.778
0.845
0.803

Overall accuracy 0.896

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image