Detailled semantic labeling (2D) result


Name G. Chen and X. Zhang
Affiliation Wuhan University, China
Abbreviation CVEO2
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
0.901
0.042
0.037
0.015
0.005
0.001
building
0.071
0.894
0.028
0.005
0.001
0.001
low_veg
0.083
0.019
0.772
0.124
0.000
0.001
tree
0.029
0.005
0.115
0.852
0.000
0.000
car
0.247
0.033
0.007
0.005
0.705
0.002
clutter
0.413
0.314
0.046
0.005
0.065
0.157
Precision/Correctness
0.834
0.921
0.792
0.856
0.803
0.684
Recall/Completeness
0.901
0.894
0.772
0.852
0.705
0.157
F1
0.866
0.907
0.782
0.854
0.751
0.256

Overall accuracy 0.851

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
0.923
0.037
0.030
0.007
0.003
0.001
building
0.063
0.912
0.022
0.002
0.001
0.001
low_veg
0.071
0.012
0.805
0.111
0.000
0.001
tree
0.017
0.002
0.098
0.883
0.000
0.000
car
0.144
0.037
0.004
0.002
0.810
0.002
clutter
0.379
0.334
0.045
0.001
0.065
0.175
Precision/Correctness
0.864
0.938
0.823
0.884
0.828
0.717
Recall/Completeness
0.923
0.912
0.805
0.883
0.810
0.175
F1
0.892
0.925
0.814
0.884
0.819
0.281

Overall accuracy 0.879
=============================================================

Tile top_mosaic_09cm_area2_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9442
0.0203
0.0174
0.0120
0.0057
0.0004
building
0.0673
0.9016
0.0255
0.0030
0.0012
0.0014
low_veg
0.1052
0.0121
0.7417
0.1403
0.0002
0.0005
tree
0.0345
0.0015
0.1242
0.8376
0.0003
0.0019
car
0.3067
0.0069
0.0019
0.0015
0.6830
0.0000
clutter
0.0003
0.0000
0.0000
0.0103
0.0000
0.9893
Precision/Correctness
0.813
0.960
0.816
0.844
0.854
0.947
Recall/Completeness
0.944
0.902
0.742
0.838
0.683
0.989
F1
0.874
0.930
0.777
0.841
0.759
0.968

Overall accuracy 0.856

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area2_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9651
0.0182
0.0090
0.0029
0.0043
0.0004
building
0.0584
0.9238
0.0147
0.0004
0.0013
0.0014
low_veg
0.0878
0.0064
0.7717
0.1334
0.0002
0.0004
tree
0.0196
0.0004
0.1100
0.8690
0.0001
0.0009
car
0.1788
0.0066
0.0004
0.0002
0.8139
0.0000
clutter
0.0004
0.0000
0.0000
0.0017
0.0000
0.9979
Precision/Correctness
0.850
0.972
0.848
0.869
0.870
0.962
Recall/Completeness
0.965
0.924
0.772
0.869
0.814
0.998
F1
0.904
0.947
0.808
0.869
0.841
0.980

Overall accuracy 0.884

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area4_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9335
0.0480
0.0064
0.0049
0.0063
0.0009
building
0.0900
0.9001
0.0070
0.0017
0.0010
0.0002
low_veg
0.1938
0.0295
0.5004
0.2736
0.0026
0.0000
tree
0.0645
0.0153
0.0757
0.8443
0.0000
0.0000
car
0.3077
0.0099
0.0004
0.0021
0.6775
0.0023
clutter
--
--
--
--
--
--
Precision/Correctness
0.803
0.969
0.703
0.735
0.796
--
Recall/Completeness
0.934
0.900
0.500
0.844
0.678
--
F1
0.863
0.933
0.585
0.786
0.732
--

Overall accuracy 0.886

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area4_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9537
0.0337
0.0039
0.0027
0.0051
0.0008
building
0.0753
0.9167
0.0061
0.0008
0.0010
0.0002
low_veg
0.1495
0.0071
0.5412
0.2998
0.0024
0.0001
tree
0.0329
0.0064
0.0687
0.8920
0.0000
0.0000
car
0.1845
0.0073
0.0002
0.0011
0.8047
0.0023
clutter
--
--
--
--
--
--
Precision/Correctness
0.835
0.981
0.733
0.760
0.807
--
Recall/Completeness
0.954
0.917
0.541
0.892
0.805
--
F1
0.890
0.948
0.623
0.821
0.806
--

Overall accuracy 0.910

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area6_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9097
0.0536
0.0223
0.0092
0.0043
0.0009
building
0.0758
0.8914
0.0276
0.0030
0.0003
0.0020
low_veg
0.1075
0.0276
0.7161
0.1482
0.0003
0.0004
tree
0.0185
0.0035
0.0758
0.9020
0.0001
0.0001
car
0.2607
0.0618
0.0007
0.0014
0.6728
0.0027
clutter
--
--
--
--
--
--
Precision/Correctness
0.834
0.941
0.676
0.931
0.898
--
Recall/Completeness
0.910
0.891
0.716
0.902
0.673
--
F1
0.870
0.915
0.695
0.916
0.769
--

Overall accuracy 0.877

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area6_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9405
0.0393
0.0146
0.0030
0.0019
0.0008
building
0.0675
0.9052
0.0246
0.0006
0.0001
0.0020
low_veg
0.0927
0.0147
0.7656
0.1268
0.0000
0.0002
tree
0.0080
0.0011
0.0655
0.9253
0.0000
0.0001
car
0.1604
0.0588
0.0001
0.0005
0.7777
0.0026
clutter
--
--
--
--
--
--
Precision/Correctness
0.865
0.962
0.703
0.954
0.948
--
Recall/Completeness
0.940
0.905
0.766
0.925
0.778
--
F1
0.901
0.933
0.733
0.939
0.855
--

Overall accuracy 0.905

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area8_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8961
0.0291
0.0605
0.0075
0.0047
0.0021
building
0.0585
0.9176
0.0198
0.0032
0.0009
0.0000
low_veg
0.0769
0.0138
0.8405
0.0681
0.0003
0.0004
tree
0.0245
0.0055
0.1578
0.8111
0.0000
0.0012
car
0.2455
0.0018
0.0085
0.0061
0.7377
0.0004
clutter
--
--
--
--
--
--
Precision/Correctness
0.879
0.941
0.729
0.921
0.877
--
Recall/Completeness
0.896
0.918
0.841
0.811
0.738
--
F1
0.888
0.929
0.781
0.863
0.801
--

Overall accuracy 0.867

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area8_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9189
0.0244
0.0505
0.0015
0.0028
0.0019
building
0.0485
0.9373
0.0126
0.0009
0.0007
0.0000
low_veg
0.0602
0.0065
0.8705
0.0624
0.0001
0.0003
tree
0.0094
0.0025
0.1385
0.8485
0.0000
0.0011
car
0.1417
0.0000
0.0023
0.0051
0.8507
0.0001
clutter
--
--
--
--
--
--
Precision/Correctness
0.913
0.959
0.764
0.940
0.911
--
Recall/Completeness
0.919
0.937
0.871
0.849
0.851
--
F1
0.916
0.948
0.814
0.892
0.880
--

Overall accuracy 0.896

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area10_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8004
0.0984
0.0782
0.0191
0.0039
0.0000
building
0.0307
0.9385
0.0177
0.0118
0.0013
0.0000
low_veg
0.0806
0.0243
0.7586
0.1352
0.0014
0.0000
tree
0.0125
0.0069
0.0965
0.8839
0.0002
0.0000
car
0.2093
0.0381
0.0000
0.0032
0.7494
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.922
0.838
0.714
0.843
0.723
--
Recall/Completeness
0.800
0.939
0.759
0.884
0.749
--
F1
0.857
0.885
0.736
0.863
0.736
--

Overall accuracy 0.842

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area10_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8270
0.0897
0.0724
0.0084
0.0026
0.0000
building
0.0269
0.9506
0.0135
0.0081
0.0009
0.0000
low_veg
0.0784
0.0116
0.8008
0.1077
0.0015
0.0000
tree
0.0050
0.0034
0.0751
0.9164
0.0000
0.0000
car
0.1272
0.0410
0.0000
0.0000
0.8318
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.937
0.860
0.746
0.887
0.749
--
Recall/Completeness
0.827
0.951
0.801
0.916
0.832
--
F1
0.879
0.903
0.772
0.901
0.788
--

Overall accuracy 0.870

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area12_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8867
0.0460
0.0369
0.0265
0.0033
0.0006
building
0.1119
0.8688
0.0144
0.0048
0.0000
0.0001
low_veg
0.1021
0.0178
0.7230
0.1551
0.0002
0.0018
tree
0.0241
0.0058
0.1109
0.8591
0.0000
0.0001
car
0.2065
0.0000
0.0004
0.0039
0.7891
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.674
0.923
0.810
0.865
0.883
--
Recall/Completeness
0.887
0.869
0.723
0.859
0.789
--
F1
0.766
0.895
0.764
0.862
0.834
--

Overall accuracy 0.825

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area12_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9110
0.0436
0.0305
0.0137
0.0008
0.0005
building
0.1151
0.8753
0.0083
0.0012
0.0000
0.0001
low_veg
0.0992
0.0101
0.7544
0.1342
0.0001
0.0020
tree
0.0168
0.0021
0.0959
0.8851
0.0000
0.0001
car
0.1022
0.0000
0.0000
0.0006
0.8972
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.695
0.945
0.837
0.891
0.960
--
Recall/Completeness
0.911
0.875
0.754
0.885
0.897
--
F1
0.788
0.909
0.794
0.888
0.928
--

Overall accuracy 0.850

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.7594
0.0886
0.1100
0.0365
0.0054
0.0001
building
0.0328
0.9389
0.0185
0.0059
0.0013
0.0025
low_veg
0.1031
0.0449
0.7317
0.1193
0.0008
0.0001
tree
0.0323
0.0093
0.1520
0.8057
0.0001
0.0006
car
0.1473
0.0000
0.0001
0.0083
0.8443
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.801
0.826
0.701
0.872
0.570
--
Recall/Completeness
0.759
0.939
0.732
0.806
0.844
--
F1
0.780
0.879
0.716
0.837
0.680
--

Overall accuracy 0.800

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.7746
0.0871
0.1080
0.0257
0.0046
0.0001
building
0.0287
0.9562
0.0095
0.0021
0.0010
0.0025
low_veg
0.0975
0.0317
0.7621
0.1078
0.0008
0.0001
tree
0.0239
0.0036
0.1402
0.8317
0.0000
0.0005
car
0.0404
0.0000
0.0000
0.0041
0.9555
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.828
0.850
0.718
0.895
0.565
--
Recall/Completeness
0.775
0.956
0.762
0.832
0.956
--
F1
0.801
0.900
0.740
0.862
0.710
--

Overall accuracy 0.823

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area16_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8654
0.0372
0.0443
0.0483
0.0032
0.0015
building
0.0534
0.9113
0.0213
0.0102
0.0000
0.0038
low_veg
0.0829
0.0203
0.7797
0.1151
0.0000
0.0020
tree
0.0635
0.0043
0.1322
0.7999
0.0000
0.0001
car
0.1268
0.0058
0.0067
0.0053
0.8553
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.699
0.924
0.796
0.871
0.793
--
Recall/Completeness
0.865
0.911
0.780
0.800
0.855
--
F1
0.773
0.918
0.788
0.834
0.823
--

Overall accuracy 0.824

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area16_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8952
0.0334
0.0375
0.0309
0.0014
0.0016
building
0.0459
0.9346
0.0122
0.0034
0.0000
0.0038
low_veg
0.0765
0.0154
0.8020
0.1041
0.0000
0.0020
tree
0.0530
0.0015
0.1201
0.8254
0.0000
0.0001
car
0.0648
0.0010
0.0043
0.0003
0.9297
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.728
0.943
0.821
0.893
0.876
--
Recall/Completeness
0.895
0.935
0.802
0.825
0.930
--
F1
0.803
0.939
0.811
0.858
0.902
--

Overall accuracy 0.849

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area20_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8482
0.0525
0.0446
0.0472
0.0050
0.0024
building
0.0281
0.9344
0.0245
0.0126
0.0001
0.0004
low_veg
0.0575
0.0267
0.7615
0.1537
0.0000
0.0006
tree
0.0069
0.0022
0.0615
0.9293
0.0001
0.0000
car
0.1376
0.0313
0.0113
0.0228
0.7970
0.0000
clutter
0.0022
0.9962
0.0013
0.0002
0.0000
0.0000
Precision/Correctness
0.899
0.777
0.794
0.902
0.758
0.000
Recall/Completeness
0.848
0.934
0.762
0.929
0.797
0.000
F1
0.873
0.849
0.777
0.916
0.777
-nan

Overall accuracy 0.856

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area20_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8786
0.0464
0.0410
0.0281
0.0036
0.0024
building
0.0247
0.9471
0.0201
0.0075
0.0001
0.0005
low_veg
0.0525
0.0149
0.8072
0.1249
0.0000
0.0005
tree
0.0028
0.0007
0.0490
0.9474
0.0000
0.0000
car
0.0609
0.0435
0.0011
0.0131
0.8814
0.0000
clutter
0.0000
1.0000
0.0000
0.0000
0.0000
0.0000
Precision/Correctness
0.921
0.795
0.823
0.929
0.780
0.000
Recall/Completeness
0.879
0.947
0.807
0.947
0.881
0.000
F1
0.899
0.864
0.815
0.938
0.828
-nan

Overall accuracy 0.881

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area22_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8769
0.0475
0.0381
0.0323
0.0050
0.0002
building
0.0556
0.9194
0.0135
0.0057
0.0053
0.0004
low_veg
0.1208
0.0318
0.7242
0.1215
0.0004
0.0013
tree
0.0191
0.0033
0.0746
0.9027
0.0002
0.0002
car
0.2705
0.0061
0.0050
0.0122
0.6872
0.0190
clutter
--
--
--
--
--
--
Precision/Correctness
0.867
0.879
0.802
0.878
0.738
--
Recall/Completeness
0.877
0.919
0.724
0.903
0.687
--
F1
0.872
0.899
0.761
0.890
0.712
--

Overall accuracy 0.859

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area22_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9066
0.0433
0.0304
0.0164
0.0032
0.0002
building
0.0500
0.9354
0.0068
0.0018
0.0056
0.0004
low_veg
0.1176
0.0212
0.7664
0.0930
0.0005
0.0014
tree
0.0073
0.0009
0.0580
0.9336
0.0000
0.0001
car
0.1712
0.0052
0.0036
0.0037
0.7953
0.0209
clutter
--
--
--
--
--
--
Precision/Correctness
0.892
0.902
0.843
0.918
0.749
--
Recall/Completeness
0.907
0.935
0.766
0.934
0.795
--
F1
0.899
0.918
0.803
0.926
0.771
--

Overall accuracy 0.891

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area24_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8133
0.0588
0.0805
0.0379
0.0041
0.0053
building
0.0613
0.8808
0.0423
0.0147
0.0001
0.0008
low_veg
0.0454
0.0226
0.8573
0.0735
0.0004
0.0008
tree
0.0219
0.0057
0.1797
0.7921
0.0001
0.0005
car
0.2091
0.0022
0.0021
0.0050
0.7815
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.764
0.896
0.844
0.839
0.789
--
Recall/Completeness
0.813
0.881
0.857
0.792
0.782
--
F1
0.788
0.888
0.850
0.815
0.785
--

Overall accuracy 0.839

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area24_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8419
0.0497
0.0741
0.0263
0.0025
0.0055
building
0.0586
0.8925
0.0369
0.0113
0.0000
0.0008
low_veg
0.0417
0.0180
0.8742
0.0649
0.0004
0.0008
tree
0.0144
0.0025
0.1586
0.8240
0.0000
0.0004
car
0.1099
0.0010
0.0000
0.0003
0.8887
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.787
0.918
0.865
0.862
0.819
--
Recall/Completeness
0.842
0.893
0.874
0.824
0.889
--
F1
0.814
0.905
0.869
0.842
0.852
--

Overall accuracy 0.861

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area27_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9309
0.0408
0.0154
0.0059
0.0067
0.0003
building
0.0957
0.8729
0.0267
0.0042
0.0003
0.0002
low_veg
0.1224
0.0193
0.6894
0.1676
0.0003
0.0010
tree
0.0172
0.0032
0.0510
0.9281
0.0001
0.0003
car
0.2555
0.0099
0.0028
0.0061
0.7254
0.0003
clutter
0.3228
0.4053
0.1516
0.0098
0.1106
0.0000
Precision/Correctness
0.813
0.943
0.872
0.719
0.901
0.000
Recall/Completeness
0.931
0.873
0.689
0.928
0.725
0.000
F1
0.868
0.907
0.770
0.810
0.804
-nan

Overall accuracy 0.854

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area27_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9527
0.0337
0.0087
0.0021
0.0025
0.0003
building
0.0829
0.8937
0.0214
0.0017
0.0002
0.0001
low_veg
0.1041
0.0100
0.7299
0.1550
0.0001
0.0009
tree
0.0079
0.0007
0.0341
0.9572
0.0000
0.0002
car
0.1493
0.0072
0.0010
0.0047
0.8374
0.0004
clutter
0.3164
0.4277
0.1306
0.0061
0.1191
0.0000
Precision/Correctness
0.846
0.960
0.907
0.752
0.949
0.000
Recall/Completeness
0.953
0.894
0.730
0.957
0.837
0.000
F1
0.896
0.926
0.809
0.843
0.890
-nan

Overall accuracy 0.885

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area29_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9536
0.0150
0.0172
0.0097
0.0046
0.0000
building
0.0565
0.9263
0.0113
0.0058
0.0000
0.0001
low_veg
0.1176
0.0132
0.6128
0.2560
0.0004
0.0000
tree
0.0102
0.0015
0.0321
0.9561
0.0000
0.0000
car
0.2840
0.0018
0.0049
0.0065
0.7028
0.0000
clutter
0.5146
0.3541
0.0341
0.0079
0.0889
0.0002
Precision/Correctness
0.884
0.930
0.859
0.705
0.670
0.188
Recall/Completeness
0.954
0.926
0.613
0.956
0.703
0.000
F1
0.918
0.928
0.715
0.811
0.686
0.000

Overall accuracy 0.864

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area29_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9709
0.0104
0.0119
0.0036
0.0033
0.0000
building
0.0491
0.9419
0.0064
0.0025
0.0000
0.0001
low_veg
0.0936
0.0037
0.6594
0.2430
0.0003
0.0000
tree
0.0042
0.0003
0.0240
0.9715
0.0000
0.0000
car
0.1900
0.0003
0.0048
0.0038
0.8011
0.0000
clutter
0.4980
0.3808
0.0279
0.0023
0.0907
0.0003
Precision/Correctness
0.908
0.945
0.898
0.744
0.677
0.188
Recall/Completeness
0.971
0.942
0.659
0.971
0.801
0.000
F1
0.938
0.944
0.760
0.842
0.734
0.001

Overall accuracy 0.892

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area31_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9730
0.0136
0.0057
0.0018
0.0051
0.0008
building
0.1268
0.8515
0.0165
0.0025
0.0025
0.0002
low_veg
0.0658
0.0021
0.9027
0.0291
0.0002
0.0000
tree
0.0486
0.0024
0.0811
0.8672
0.0007
0.0000
car
0.1930
0.1199
0.0116
0.0042
0.6688
0.0026
clutter
0.5156
0.2452
0.1680
0.0066
0.0597
0.0049
Precision/Correctness
0.835
0.927
0.859
0.942
0.834
0.267
Recall/Completeness
0.973
0.852
0.903
0.867
0.669
0.005
F1
0.899
0.888
0.880
0.903
0.742
0.010

Overall accuracy 0.873

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area31_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9806
0.0117
0.0043
0.0003
0.0025
0.0006
building
0.1152
0.8714
0.0112
0.0002
0.0018
0.0002
low_veg
0.0420
0.0011
0.9328
0.0240
0.0000
0.0000
tree
0.0170
0.0004
0.0623
0.9202
0.0001
0.0000
car
0.1053
0.1387
0.0073
0.0004
0.7464
0.0018
clutter
0.4712
0.2740
0.1862
0.0023
0.0604
0.0060
Precision/Correctness
0.867
0.937
0.888
0.963
0.865
0.342
Recall/Completeness
0.981
0.871
0.933
0.920
0.746
0.006
F1
0.920
0.903
0.910
0.941
0.802
0.012

Overall accuracy 0.899

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area33_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9604
0.0298
0.0049
0.0015
0.0033
0.0000
building
0.1202
0.7890
0.0856
0.0030
0.0022
0.0000
low_veg
0.0785
0.0242
0.7707
0.1256
0.0010
0.0000
tree
0.0644
0.0105
0.1397
0.7854
0.0000
0.0000
car
0.2711
0.0172
0.0019
0.0019
0.7041
0.0038
clutter
0.7274
0.1478
0.0009
0.0001
0.1210
0.0028
Precision/Correctness
0.793
0.903
0.741
0.798
0.512
0.756
Recall/Completeness
0.960
0.789
0.771
0.785
0.704
0.003
F1
0.869
0.842
0.756
0.792
0.593
0.006

Overall accuracy 0.808

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area33_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9681
0.0274
0.0021
0.0004
0.0021
0.0000
building
0.1130
0.7983
0.0855
0.0013
0.0019
0.0000
low_veg
0.0451
0.0166
0.8048
0.1326
0.0010
0.0000
tree
0.0340
0.0078
0.1275
0.8306
0.0000
0.0000
car
0.1581
0.0149
0.0000
0.0004
0.8224
0.0043
clutter
0.7100
0.1551
0.0005
0.0000
0.1311
0.0033
Precision/Correctness
0.821
0.917
0.754
0.805
0.503
0.794
Recall/Completeness
0.968
0.798
0.805
0.831
0.822
0.003
F1
0.888
0.854
0.779
0.818
0.625
0.007

Overall accuracy 0.828

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area35_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8597
0.0502
0.0756
0.0117
0.0015
0.0014
building
0.0498
0.9193
0.0225
0.0051
0.0016
0.0017
low_veg
0.0527
0.0101
0.7689
0.1671
0.0005
0.0006
tree
0.0311
0.0046
0.1585
0.8055
0.0002
0.0001
car
0.2151
0.0227
0.0000
0.0074
0.7547
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.860
0.937
0.755
0.805
0.854
--
Recall/Completeness
0.860
0.919
0.769
0.805
0.755
--
F1
0.860
0.928
0.762
0.805
0.801
--

Overall accuracy 0.840

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area35_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9001
0.0453
0.0509
0.0022
0.0003
0.0012
building
0.0410
0.9450
0.0103
0.0008
0.0014
0.0015
low_veg
0.0397
0.0043
0.7908
0.1643
0.0005
0.0003
tree
0.0109
0.0009
0.1258
0.8623
0.0001
0.0000
car
0.1059
0.0221
0.0000
0.0014
0.8706
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.901
0.955
0.814
0.828
0.895
--
Recall/Completeness
0.900
0.945
0.791
0.862
0.871
--
F1
0.901
0.950
0.802
0.845
0.883
--

Overall accuracy 0.877

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area38_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9190
0.0290
0.0402
0.0081
0.0034
0.0002
building
0.0399
0.8881
0.0651
0.0058
0.0009
0.0003
low_veg
0.0566
0.0104
0.8491
0.0836
0.0002
0.0000
tree
0.0315
0.0022
0.1355
0.8306
0.0001
0.0001
car
0.2531
0.0397
0.0356
0.0045
0.6636
0.0035
clutter
--
--
--
--
--
--
Precision/Correctness
0.877
0.951
0.815
0.857
0.838
--
Recall/Completeness
0.919
0.888
0.849
0.831
0.664
--
F1
0.898
0.919
0.832
0.843
0.741
--

Overall accuracy 0.872

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area38_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9396
0.0275
0.0283
0.0023
0.0022
0.0001
building
0.0312
0.9140
0.0517
0.0020
0.0008
0.0003
low_veg
0.0390
0.0061
0.8824
0.0724
0.0001
0.0000
tree
0.0140
0.0010
0.1106
0.8744
0.0000
0.0001
car
0.1491
0.0504
0.0272
0.0005
0.7689
0.0039
clutter
--
--
--
--
--
--
Precision/Correctness
0.917
0.962
0.852
0.887
0.871
--
Recall/Completeness
0.940
0.914
0.882
0.874
0.769
--
F1
0.928
0.937
0.867
0.881
0.817
--

Overall accuracy 0.904

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image