Detailled semantic labeling (2D) result


Name L. Yang et al.
Affiliation BUCT, China
Abbreviation BUCTY4
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
0.930
0.011
0.039
0.013
0.001
0.005
building
0.016
0.973
0.006
0.002
0.000
0.003
low_veg
0.041
0.011
0.904
0.038
0.000
0.005
tree
0.039
0.007
0.157
0.794
0.002
0.002
car
0.090
0.003
0.001
0.018
0.876
0.012
clutter
0.333
0.108
0.191
0.020
0.008
0.341
Precision/Correctness
0.891
0.951
0.794
0.906
0.938
0.797
Recall/Completeness
0.930
0.973
0.904
0.794
0.876
0.341
F1
0.910
0.962
0.846
0.846
0.906
0.478

Overall accuracy 0.884

Overall statistics, reference set: no_boundary


Number of non processed tiles by this participant: 0
↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.947
0.007
0.032
0.009
0.000
0.005
building
0.012
0.979
0.004
0.002
0.000
0.002
low_veg
0.031
0.006
0.927
0.031
0.000
0.005
tree
0.029
0.005
0.140
0.823
0.001
0.002
car
0.013
0.002
0.000
0.012
0.958
0.015
clutter
0.333
0.091
0.180
0.016
0.008
0.373
Precision/Correctness
0.912
0.967
0.817
0.930
0.959
0.811
Recall/Completeness
0.947
0.979
0.927
0.823
0.958
0.373
F1
0.929
0.973
0.868
0.873
0.958
0.511

Overall accuracy 0.905
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9170
0.0157
0.0503
0.0116
0.0014
0.0040
building
0.0077
0.9774
0.0069
0.0042
0.0003
0.0034
low_veg
0.0278
0.0230
0.9098
0.0350
0.0002
0.0043
tree
0.0325
0.0118
0.1376
0.8157
0.0009
0.0016
car
0.1009
0.0055
0.0018
0.0123
0.8383
0.0413
clutter
0.1650
0.1980
0.1736
0.0274
0.0063
0.4298
Precision/Correctness
0.912
0.912
0.849
0.927
0.926
0.687
Recall/Completeness
0.917
0.977
0.910
0.816
0.838
0.430
F1
0.915
0.943
0.878
0.868
0.880
0.529

Overall accuracy 0.892

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
0.9375
0.0105
0.0418
0.0072
0.0001
0.0030
building
0.0043
0.9850
0.0038
0.0034
0.0003
0.0032
low_veg
0.0208
0.0201
0.9300
0.0252
0.0001
0.0038
tree
0.0240
0.0097
0.1169
0.8477
0.0005
0.0011
car
0.0408
0.0059
0.0011
0.0058
0.8954
0.0511
clutter
0.1241
0.1917
0.1356
0.0187
0.0078
0.5220
Precision/Correctness
0.939
0.932
0.875
0.950
0.960
0.697
Recall/Completeness
0.937
0.985
0.930
0.848
0.895
0.522
F1
0.938
0.958
0.902
0.896
0.927
0.597

Overall accuracy 0.917

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_2_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9096
0.0078
0.0727
0.0079
0.0007
0.0014
building
0.0022
0.9882
0.0062
0.0025
0.0000
0.0009
low_veg
0.0183
0.0034
0.9549
0.0228
0.0000
0.0006
tree
0.0210
0.0050
0.2054
0.7675
0.0007
0.0004
car
0.0875
0.0014
0.0015
0.0091
0.8950
0.0056
clutter
0.1064
0.3537
0.1877
0.0420
0.0128
0.2974
Precision/Correctness
0.897
0.923
0.822
0.961
0.931
0.605
Recall/Completeness
0.910
0.988
0.955
0.767
0.895
0.297
F1
0.903
0.954
0.884
0.853
0.913
0.399

Overall accuracy 0.881

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
0.9337
0.0045
0.0564
0.0042
0.0000
0.0012
building
0.0005
0.9943
0.0032
0.0013
0.0000
0.0007
low_veg
0.0136
0.0014
0.9672
0.0174
0.0000
0.0004
tree
0.0167
0.0040
0.1876
0.7908
0.0005
0.0004
car
0.0220
0.0003
0.0001
0.0050
0.9659
0.0067
clutter
0.0607
0.4010
0.1574
0.0466
0.0117
0.3226
Precision/Correctness
0.921
0.949
0.840
0.972
0.958
0.600
Recall/Completeness
0.934
0.994
0.967
0.791
0.966
0.323
F1
0.927
0.971
0.899
0.872
0.962
0.420

Overall accuracy 0.899

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
0.9188
0.0198
0.0429
0.0132
0.0019
0.0034
building
0.0057
0.9885
0.0027
0.0027
0.0000
0.0003
low_veg
0.0550
0.0207
0.8895
0.0334
0.0001
0.0014
tree
0.0332
0.0097
0.1323
0.8222
0.0017
0.0009
car
0.0822
0.0033
0.0006
0.0215
0.8831
0.0093
clutter
0.3450
0.1848
0.2616
0.0168
0.0042
0.1876
Precision/Correctness
0.880
0.937
0.810
0.938
0.939
0.734
Recall/Completeness
0.919
0.988
0.889
0.822
0.883
0.188
F1
0.899
0.962
0.848
0.876
0.910
0.299

Overall accuracy 0.889

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
0.9437
0.0128
0.0324
0.0078
0.0001
0.0031
building
0.0037
0.9932
0.0009
0.0020
0.0000
0.0003
low_veg
0.0442
0.0103
0.9204
0.0242
0.0000
0.0008
tree
0.0244
0.0079
0.1137
0.8522
0.0011
0.0007
car
0.0095
0.0036
0.0000
0.0143
0.9617
0.0110
clutter
0.3657
0.1817
0.2338
0.0092
0.0049
0.2047
Precision/Correctness
0.909
0.960
0.840
0.960
0.971
0.738
Recall/Completeness
0.944
0.993
0.920
0.852
0.962
0.205
F1
0.926
0.976
0.878
0.903
0.966
0.321

Overall accuracy 0.916

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
0.8933
0.0162
0.0686
0.0159
0.0020
0.0041
building
0.0094
0.9826
0.0034
0.0020
0.0000
0.0027
low_veg
0.0258
0.0106
0.9301
0.0315
0.0000
0.0019
tree
0.0241
0.0056
0.2020
0.7657
0.0011
0.0015
car
0.0804
0.0138
0.0010
0.0318
0.8646
0.0084
clutter
0.2357
0.2011
0.1912
0.0283
0.0061
0.3376
Precision/Correctness
0.889
0.939
0.775
0.936
0.920
0.806
Recall/Completeness
0.893
0.983
0.930
0.766
0.865
0.338
F1
0.891
0.960
0.846
0.842
0.892
0.476

Overall accuracy 0.873

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
0.9214
0.0094
0.0547
0.0105
0.0002
0.0038
building
0.0078
0.9872
0.0013
0.0012
0.0000
0.0025
low_veg
0.0162
0.0045
0.9544
0.0235
0.0000
0.0014
tree
0.0184
0.0044
0.1832
0.7921
0.0009
0.0010
car
0.0122
0.0153
0.0001
0.0220
0.9409
0.0096
clutter
0.2225
0.1958
0.1572
0.0232
0.0069
0.3944
Precision/Correctness
0.919
0.960
0.800
0.956
0.951
0.827
Recall/Completeness
0.921
0.987
0.954
0.792
0.941
0.394
F1
0.920
0.973
0.870
0.867
0.946
0.534

Overall accuracy 0.898

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
0.9395
0.0060
0.0372
0.0160
0.0005
0.0008
building
0.0128
0.9764
0.0053
0.0042
0.0001
0.0013
low_veg
0.0371
0.0067
0.8828
0.0724
0.0000
0.0009
tree
0.0367
0.0022
0.0667
0.8928
0.0010
0.0006
car
0.0988
0.0003
0.0011
0.0282
0.8677
0.0040
clutter
0.5555
0.1148
0.1718
0.0537
0.0035
0.1007
Precision/Correctness
0.840
0.968
0.794
0.845
0.972
0.876
Recall/Completeness
0.939
0.976
0.883
0.893
0.868
0.101
F1
0.887
0.972
0.836
0.868
0.917
0.181

Overall accuracy 0.879

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
0.9549
0.0034
0.0301
0.0107
0.0002
0.0007
building
0.0081
0.9852
0.0025
0.0030
0.0001
0.0012
low_veg
0.0263
0.0017
0.9091
0.0621
0.0000
0.0008
tree
0.0236
0.0009
0.0520
0.9224
0.0006
0.0005
car
0.0071
0.0000
0.0000
0.0182
0.9701
0.0046
clutter
0.5833
0.1025
0.1542
0.0452
0.0038
0.1110
Precision/Correctness
0.866
0.978
0.829
0.880
0.979
0.886
Recall/Completeness
0.955
0.985
0.909
0.922
0.970
0.111
F1
0.908
0.982
0.867
0.901
0.975
0.197

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_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8819
0.0199
0.0713
0.0114
0.0015
0.0141
building
0.0083
0.9821
0.0035
0.0039
0.0000
0.0023
low_veg
0.0748
0.0156
0.8418
0.0407
0.0001
0.0270
tree
0.0375
0.0063
0.1767
0.7714
0.0016
0.0065
car
0.0902
0.0044
0.0005
0.0233
0.8610
0.0206
clutter
0.5503
0.0466
0.1575
0.0091
0.0016
0.2348
Precision/Correctness
0.732
0.932
0.741
0.909
0.958
0.660
Recall/Completeness
0.882
0.982
0.842
0.771
0.861
0.235
F1
0.800
0.956
0.788
0.835
0.907
0.346

Overall accuracy 0.807

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
0.8967
0.0148
0.0666
0.0077
0.0001
0.0142
building
0.0056
0.9877
0.0018
0.0029
0.0000
0.0020
low_veg
0.0626
0.0097
0.8657
0.0341
0.0000
0.0280
tree
0.0284
0.0047
0.1566
0.8030
0.0012
0.0061
car
0.0192
0.0041
0.0000
0.0159
0.9374
0.0234
clutter
0.5666
0.0421
0.1423
0.0065
0.0014
0.2411
Precision/Correctness
0.743
0.949
0.760
0.932
0.978
0.672
Recall/Completeness
0.897
0.988
0.866
0.803
0.937
0.241
F1
0.813
0.968
0.810
0.863
0.957
0.355

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
0.9298
0.0128
0.0498
0.0031
0.0014
0.0030
building
0.0039
0.9880
0.0055
0.0020
0.0000
0.0006
low_veg
0.0514
0.0221
0.9057
0.0192
0.0002
0.0014
tree
0.0799
0.0090
0.1782
0.7236
0.0051
0.0041
car
0.0968
0.0009
0.0014
0.0086
0.8806
0.0116
clutter
0.3896
0.2398
0.1429
0.0124
0.0053
0.2100
Precision/Correctness
0.905
0.950
0.764
0.945
0.940
0.728
Recall/Completeness
0.930
0.988
0.906
0.724
0.881
0.210
F1
0.917
0.969
0.829
0.820
0.910
0.326

Overall accuracy 0.895

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_4_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9447
0.0067
0.0442
0.0015
0.0002
0.0027
building
0.0016
0.9925
0.0040
0.0015
0.0000
0.0005
low_veg
0.0323
0.0125
0.9397
0.0146
0.0000
0.0009
tree
0.0620
0.0069
0.1567
0.7668
0.0037
0.0038
car
0.0126
0.0002
0.0001
0.0041
0.9682
0.0147
clutter
0.4063
0.2410
0.1221
0.0096
0.0046
0.2163
Precision/Correctness
0.933
0.967
0.789
0.964
0.965
0.723
Recall/Completeness
0.945
0.992
0.940
0.767
0.968
0.216
F1
0.939
0.980
0.858
0.854
0.967
0.333

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
0.9298
0.0119
0.0393
0.0151
0.0009
0.0030
building
0.0102
0.9811
0.0047
0.0025
0.0000
0.0015
low_veg
0.0623
0.0101
0.8805
0.0448
0.0000
0.0022
tree
0.0534
0.0051
0.1687
0.7703
0.0019
0.0005
car
0.1122
0.0005
0.0004
0.0104
0.8632
0.0133
clutter
0.2616
0.2350
0.1978
0.0175
0.0449
0.2433
Precision/Correctness
0.904
0.952
0.802
0.863
0.918
0.776
Recall/Completeness
0.930
0.981
0.881
0.770
0.863
0.243
F1
0.917
0.966
0.839
0.814
0.890
0.370

Overall accuracy 0.891

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_5_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9463
0.0067
0.0340
0.0104
0.0001
0.0026
building
0.0066
0.9871
0.0031
0.0019
0.0000
0.0014
low_veg
0.0556
0.0054
0.8996
0.0377
0.0000
0.0018
tree
0.0371
0.0033
0.1550
0.8027
0.0015
0.0004
car
0.0144
0.0003
0.0000
0.0074
0.9620
0.0159
clutter
0.2324
0.2169
0.1923
0.0156
0.0558
0.2869
Precision/Correctness
0.931
0.970
0.828
0.892
0.927
0.783
Recall/Completeness
0.946
0.987
0.900
0.803
0.962
0.287
F1
0.939
0.978
0.862
0.845
0.944
0.420

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
0.9420
0.0043
0.0262
0.0196
0.0006
0.0073
building
0.0161
0.9782
0.0038
0.0013
0.0001
0.0004
low_veg
0.0697
0.0065
0.8668
0.0478
0.0001
0.0091
tree
0.0510
0.0050
0.1197
0.8188
0.0028
0.0028
car
0.1164
0.0054
0.0045
0.0193
0.8342
0.0203
clutter
0.2179
0.1857
0.2102
0.0324
0.0027
0.3511
Precision/Correctness
0.847
0.934
0.801
0.887
0.948
0.843
Recall/Completeness
0.942
0.978
0.867
0.819
0.834
0.351
F1
0.892
0.956
0.832
0.852
0.888
0.496

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
0.9580
0.0017
0.0191
0.0142
0.0003
0.0066
building
0.0138
0.9829
0.0021
0.0009
0.0000
0.0003
low_veg
0.0563
0.0032
0.8895
0.0424
0.0000
0.0087
tree
0.0401
0.0040
0.1087
0.8428
0.0021
0.0023
car
0.0180
0.0054
0.0036
0.0114
0.9385
0.0231
clutter
0.2009
0.1571
0.2114
0.0299
0.0026
0.3981
Precision/Correctness
0.876
0.954
0.822
0.910
0.961
0.860
Recall/Completeness
0.958
0.983
0.889
0.843
0.939
0.398
F1
0.915
0.968
0.854
0.875
0.949
0.544

Overall accuracy 0.892

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
0.9250
0.0062
0.0505
0.0143
0.0008
0.0031
building
0.0116
0.9735
0.0068
0.0040
0.0005
0.0036
low_veg
0.0379
0.0052
0.8740
0.0735
0.0001
0.0094
tree
0.0355
0.0047
0.0940
0.8635
0.0014
0.0009
car
0.1145
0.0013
0.0013
0.0162
0.8504
0.0163
clutter
0.3207
0.1250
0.1307
0.0162
0.0042
0.4032
Precision/Correctness
0.907
0.950
0.749
0.842
0.961
0.876
Recall/Completeness
0.925
0.974
0.874
0.864
0.850
0.403
F1
0.916
0.962
0.806
0.853
0.902
0.552

Overall accuracy 0.884

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
0.9382
0.0029
0.0454
0.0103
0.0004
0.0027
building
0.0077
0.9807
0.0052
0.0029
0.0004
0.0031
low_veg
0.0234
0.0012
0.8998
0.0668
0.0000
0.0087
tree
0.0246
0.0028
0.0814
0.8895
0.0010
0.0007
car
0.0157
0.0012
0.0000
0.0127
0.9508
0.0195
clutter
0.3213
0.0901
0.1218
0.0142
0.0040
0.4487
Precision/Correctness
0.928
0.971
0.770
0.871
0.969
0.890
Recall/Completeness
0.938
0.981
0.900
0.890
0.951
0.449
F1
0.933
0.976
0.830
0.880
0.960
0.597

Overall accuracy 0.906

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
0.9526
0.0042
0.0216
0.0145
0.0007
0.0064
building
0.0390
0.9395
0.0143
0.0011
0.0005
0.0056
low_veg
0.0163
0.0032
0.9619
0.0178
0.0000
0.0008
tree
0.0663
0.0023
0.1274
0.8019
0.0007
0.0014
car
0.0750
0.0000
0.0002
0.0064
0.9154
0.0030
clutter
0.2571
0.0418
0.3825
0.0266
0.0053
0.2867
Precision/Correctness
0.929
0.985
0.868
0.901
0.950
0.586
Recall/Completeness
0.953
0.940
0.962
0.802
0.915
0.287
F1
0.941
0.962
0.913
0.848
0.933
0.385

Overall accuracy 0.920

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
0.9654
0.0023
0.0173
0.0092
0.0001
0.0057
building
0.0345
0.9479
0.0111
0.0006
0.0005
0.0053
low_veg
0.0091
0.0012
0.9756
0.0134
0.0000
0.0006
tree
0.0479
0.0015
0.1153
0.8337
0.0004
0.0012
car
0.0049
0.0000
0.0001
0.0037
0.9886
0.0027
clutter
0.2370
0.0408
0.3954
0.0248
0.0044
0.2976
Precision/Correctness
0.946
0.991
0.885
0.930
0.972
0.591
Recall/Completeness
0.965
0.948
0.976
0.834
0.989
0.298
F1
0.956
0.969
0.928
0.879
0.980
0.396

Overall accuracy 0.936

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
0.9632
0.0040
0.0216
0.0078
0.0025
0.0009
building
0.0389
0.9545
0.0035
0.0012
0.0002
0.0018
low_veg
0.0533
0.0058
0.9038
0.0356
0.0002
0.0012
tree
0.0454
0.0080
0.1201
0.8228
0.0031
0.0006
car
0.0592
0.0001
0.0009
0.0145
0.9196
0.0058
clutter
0.2543
0.0751
0.2570
0.0154
0.0168
0.3813
Precision/Correctness
0.922
0.983
0.838
0.889
0.943
0.872
Recall/Completeness
0.963
0.955
0.904
0.823
0.920
0.381
F1
0.942
0.969
0.870
0.855
0.931
0.531

Overall accuracy 0.923

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
0.9753
0.0016
0.0170
0.0054
0.0001
0.0007
building
0.0342
0.9616
0.0018
0.0007
0.0001
0.0016
low_veg
0.0374
0.0016
0.9308
0.0296
0.0000
0.0006
tree
0.0331
0.0068
0.1047
0.8528
0.0021
0.0005
car
0.0025
0.0000
0.0000
0.0095
0.9812
0.0067
clutter
0.2280
0.0762
0.2500
0.0123
0.0167
0.4168
Precision/Correctness
0.941
0.990
0.861
0.918
0.975
0.889
Recall/Completeness
0.975
0.962
0.931
0.853
0.981
0.417
F1
0.958
0.976
0.895
0.884
0.978
0.568

Overall accuracy 0.941

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
0.9334
0.0026
0.0356
0.0068
0.0028
0.0189
building
0.0234
0.9496
0.0174
0.0010
0.0025
0.0060
low_veg
0.0346
0.0024
0.9201
0.0218
0.0005
0.0206
tree
0.0474
0.0121
0.2023
0.7325
0.0027
0.0030
car
0.0754
0.0009
0.0039
0.0177
0.8924
0.0098
clutter
0.1894
0.0074
0.2188
0.0105
0.0153
0.5585
Precision/Correctness
0.918
0.983
0.687
0.941
0.899
0.730
Recall/Completeness
0.933
0.950
0.920
0.732
0.892
0.559
F1
0.926
0.966
0.787
0.824
0.896
0.633

Overall accuracy 0.880

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
0.9483
0.0007
0.0282
0.0040
0.0001
0.0188
building
0.0194
0.9571
0.0154
0.0005
0.0026
0.0052
low_veg
0.0195
0.0004
0.9446
0.0152
0.0000
0.0202
tree
0.0371
0.0110
0.1840
0.7633
0.0020
0.0027
car
0.0104
0.0007
0.0007
0.0124
0.9641
0.0117
clutter
0.1825
0.0062
0.2097
0.0083
0.0157
0.5776
Precision/Correctness
0.937
0.990
0.704
0.963
0.926
0.742
Recall/Completeness
0.948
0.957
0.945
0.763
0.964
0.578
F1
0.942
0.973
0.807
0.852
0.945
0.650

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: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9362
0.0242
0.0114
0.0237
0.0009
0.0035
building
0.0151
0.9755
0.0014
0.0018
0.0000
0.0061
low_veg
0.0505
0.0105
0.8218
0.1165
0.0001
0.0006
tree
0.0255
0.0055
0.1401
0.8286
0.0003
0.0001
car
0.0575
0.0066
0.0004
0.0294
0.9000
0.0062
clutter
0.2424
0.0156
0.1923
0.0019
0.0066
0.5413
Precision/Correctness
0.933
0.936
0.708
0.725
0.921
0.937
Recall/Completeness
0.936
0.975
0.822
0.829
0.900
0.541
F1
0.935
0.955
0.761
0.773
0.910
0.686

Overall accuracy 0.889

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
0.9500
0.0208
0.0090
0.0168
0.0001
0.0033
building
0.0124
0.9800
0.0008
0.0012
0.0000
0.0057
low_veg
0.0384
0.0067
0.8471
0.1075
0.0000
0.0004
tree
0.0179
0.0034
0.1342
0.8443
0.0001
0.0000
car
0.0047
0.0081
0.0000
0.0195
0.9605
0.0073
clutter
0.2329
0.0141
0.1928
0.0016
0.0062
0.5523
Precision/Correctness
0.942
0.946
0.716
0.762
0.941
0.943
Recall/Completeness
0.950
0.980
0.847
0.844
0.960
0.552
F1
0.946
0.963
0.776
0.801
0.951
0.697

Overall accuracy 0.903

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image