Detailled semantic labeling (2D) result


Name W. Tang
Affiliation Wuhan University, China
Abbreviation WUH_W3
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
0.903
0.034
0.039
0.018
0.006
0.000
building
0.049
0.923
0.021
0.005
0.001
0.000
low_veg
0.060
0.023
0.771
0.145
0.000
0.000
tree
0.022
0.006
0.094
0.878
0.000
0.000
car
0.227
0.022
0.008
0.006
0.736
0.001
clutter
0.307
0.299
0.016
0.009
0.037
0.332
Precision/Correctness
0.873
0.928
0.815
0.840
0.807
0.947
Recall/Completeness
0.903
0.923
0.771
0.878
0.736
0.332
F1
0.888
0.926
0.792
0.859
0.770
0.491

Overall accuracy 0.867

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
0.930
0.026
0.032
0.009
0.003
0.000
building
0.042
0.941
0.014
0.002
0.001
0.000
low_veg
0.047
0.014
0.808
0.131
0.000
0.000
tree
0.011
0.002
0.077
0.910
0.000
0.000
car
0.131
0.023
0.006
0.003
0.836
0.001
clutter
0.268
0.317
0.012
0.004
0.037
0.362
Precision/Correctness
0.905
0.948
0.850
0.870
0.848
0.966
Recall/Completeness
0.930
0.941
0.808
0.910
0.836
0.362
F1
0.917
0.944
0.828
0.889
0.842
0.526

Overall accuracy 0.897
=============================================================

Tile top_mosaic_09cm_area2_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9356
0.0180
0.0238
0.0137
0.0088
0.0001
building
0.0348
0.9384
0.0229
0.0036
0.0003
0.0000
low_veg
0.0788
0.0245
0.7060
0.1905
0.0002
0.0000
tree
0.0311
0.0049
0.0884
0.8740
0.0002
0.0014
car
0.2217
0.0082
0.0013
0.0009
0.7679
0.0000
clutter
0.0339
0.0000
0.0004
0.0178
0.0000
0.9479
Precision/Correctness
0.857
0.948
0.839
0.808
0.836
0.979
Recall/Completeness
0.936
0.938
0.706
0.874
0.768
0.948
F1
0.895
0.943
0.767
0.840
0.801
0.963

Overall accuracy 0.863

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
0.9612
0.0146
0.0139
0.0040
0.0062
0.0001
building
0.0269
0.9581
0.0140
0.0007
0.0002
0.0000
low_veg
0.0613
0.0160
0.7371
0.1855
0.0001
0.0000
tree
0.0160
0.0018
0.0748
0.9067
0.0001
0.0007
car
0.1119
0.0064
0.0001
0.0004
0.8811
0.0000
clutter
0.0331
0.0000
0.0004
0.0046
0.0000
0.9618
Precision/Correctness
0.898
0.966
0.874
0.832
0.868
0.989
Recall/Completeness
0.961
0.958
0.737
0.907
0.881
0.962
F1
0.928
0.962
0.800
0.868
0.875
0.975

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_area4_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9297
0.0492
0.0112
0.0054
0.0046
0.0000
building
0.0716
0.9161
0.0101
0.0014
0.0009
0.0000
low_veg
0.1476
0.0508
0.5179
0.2833
0.0005
0.0000
tree
0.0619
0.0124
0.0687
0.8564
0.0006
0.0000
car
0.3158
0.0111
0.0007
0.0024
0.6700
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.833
0.967
0.654
0.732
0.839
--
Recall/Completeness
0.930
0.916
0.518
0.856
0.670
--
F1
0.879
0.941
0.578
0.790
0.745
--

Overall accuracy 0.895

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
0.9566
0.0301
0.0087
0.0022
0.0023
0.0000
building
0.0596
0.9305
0.0086
0.0005
0.0009
0.0000
low_veg
0.1071
0.0208
0.5616
0.3103
0.0001
0.0000
tree
0.0302
0.0046
0.0641
0.9010
0.0001
0.0000
car
0.2169
0.0065
0.0001
0.0014
0.7751
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.863
0.983
0.681
0.760
0.878
--
Recall/Completeness
0.957
0.931
0.562
0.901
0.775
--
F1
0.908
0.956
0.616
0.824
0.823
--

Overall accuracy 0.920

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
0.9071
0.0425
0.0327
0.0106
0.0070
0.0001
building
0.0505
0.9303
0.0152
0.0038
0.0001
0.0000
low_veg
0.1089
0.0231
0.7123
0.1554
0.0003
0.0000
tree
0.0168
0.0037
0.0573
0.9219
0.0002
0.0000
car
0.3091
0.0057
0.0004
0.0025
0.6822
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.858
0.955
0.718
0.928
0.854
--
Recall/Completeness
0.907
0.930
0.712
0.922
0.682
--
F1
0.882
0.943
0.715
0.925
0.759
--

Overall accuracy 0.895

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
0.9414
0.0278
0.0240
0.0030
0.0037
0.0001
building
0.0415
0.9470
0.0102
0.0013
0.0000
0.0000
low_veg
0.0916
0.0081
0.7623
0.1380
0.0001
0.0000
tree
0.0062
0.0010
0.0447
0.9481
0.0000
0.0000
car
0.2017
0.0010
0.0000
0.0005
0.7968
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.895
0.976
0.765
0.951
0.912
--
Recall/Completeness
0.941
0.947
0.762
0.948
0.797
--
F1
0.918
0.961
0.764
0.949
0.851
--

Overall accuracy 0.926

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
0.8895
0.0237
0.0714
0.0098
0.0056
0.0001
building
0.0327
0.9459
0.0180
0.0032
0.0002
0.0000
low_veg
0.0623
0.0132
0.8494
0.0743
0.0007
0.0000
tree
0.0275
0.0060
0.0866
0.8797
0.0001
0.0001
car
0.2352
0.0089
0.0132
0.0047
0.7346
0.0035
clutter
--
--
--
--
--
--
Precision/Correctness
0.902
0.949
0.779
0.919
0.864
--
Recall/Completeness
0.889
0.946
0.849
0.880
0.735
--
F1
0.896
0.948
0.812
0.899
0.794
--

Overall accuracy 0.890

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
0.9160
0.0176
0.0608
0.0028
0.0028
0.0000
building
0.0226
0.9663
0.0100
0.0010
0.0002
0.0000
low_veg
0.0454
0.0060
0.8842
0.0642
0.0003
0.0000
tree
0.0125
0.0026
0.0647
0.9201
0.0000
0.0001
car
0.1382
0.0065
0.0071
0.0036
0.8411
0.0034
clutter
--
--
--
--
--
--
Precision/Correctness
0.938
0.969
0.823
0.942
0.917
--
Recall/Completeness
0.916
0.966
0.884
0.920
0.841
--
F1
0.927
0.968
0.852
0.931
0.878
--

Overall accuracy 0.922

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
0.8533
0.0702
0.0499
0.0209
0.0056
0.0000
building
0.0346
0.9331
0.0201
0.0096
0.0026
0.0000
low_veg
0.0812
0.0289
0.7456
0.1439
0.0004
0.0000
tree
0.0184
0.0089
0.0845
0.8881
0.0001
0.0000
car
0.1991
0.0270
0.0183
0.0015
0.7537
0.0004
clutter
--
--
--
--
--
--
Precision/Correctness
0.921
0.868
0.762
0.837
0.656
--
Recall/Completeness
0.853
0.933
0.746
0.888
0.754
--
F1
0.886
0.900
0.754
0.862
0.701
--

Overall accuracy 0.860

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
0.8844
0.0599
0.0415
0.0100
0.0042
0.0000
building
0.0280
0.9476
0.0151
0.0070
0.0023
0.0000
low_veg
0.0772
0.0164
0.7886
0.1174
0.0004
0.0000
tree
0.0086
0.0046
0.0636
0.9232
0.0000
0.0000
car
0.1167
0.0319
0.0153
0.0000
0.8360
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.939
0.895
0.804
0.879
0.666
--
Recall/Completeness
0.884
0.948
0.789
0.923
0.836
--
F1
0.911
0.920
0.796
0.901
0.741
--

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_area12_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8738
0.0398
0.0515
0.0319
0.0030
0.0000
building
0.0263
0.9540
0.0141
0.0056
0.0000
0.0000
low_veg
0.0412
0.0241
0.7574
0.1762
0.0002
0.0009
tree
0.0100
0.0077
0.1096
0.8728
0.0000
0.0000
car
0.1955
0.0036
0.0000
0.0093
0.7916
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.852
0.922
0.813
0.851
0.891
--
Recall/Completeness
0.874
0.954
0.757
0.873
0.792
--
F1
0.863
0.937
0.784
0.862
0.838
--

Overall accuracy 0.855

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
0.9008
0.0368
0.0438
0.0171
0.0014
0.0000
building
0.0246
0.9687
0.0049
0.0018
0.0000
0.0000
low_veg
0.0380
0.0148
0.7916
0.1545
0.0001
0.0010
tree
0.0046
0.0033
0.0927
0.8995
0.0000
0.0000
car
0.0674
0.0014
0.0000
0.0027
0.9285
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.880
0.946
0.843
0.878
0.937
--
Recall/Completeness
0.901
0.969
0.792
0.899
0.928
--
F1
0.890
0.957
0.817
0.888
0.933
--

Overall accuracy 0.883

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
0.8508
0.0401
0.0676
0.0358
0.0057
0.0000
building
0.0186
0.9572
0.0178
0.0064
0.0000
0.0000
low_veg
0.0872
0.0480
0.7073
0.1574
0.0001
0.0000
tree
0.0289
0.0116
0.1246
0.8349
0.0001
0.0000
car
0.1582
0.0000
0.0163
0.0068
0.8187
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.846
0.869
0.749
0.850
0.615
--
Recall/Completeness
0.851
0.957
0.707
0.835
0.819
--
F1
0.848
0.911
0.727
0.842
0.703
--

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_area14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8705
0.0366
0.0624
0.0256
0.0049
0.0000
building
0.0133
0.9747
0.0095
0.0026
0.0000
0.0000
low_veg
0.0821
0.0325
0.7374
0.1479
0.0001
0.0000
tree
0.0206
0.0054
0.1117
0.8622
0.0001
0.0000
car
0.0588
0.0000
0.0147
0.0033
0.9232
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.872
0.902
0.772
0.871
0.604
--
Recall/Completeness
0.870
0.975
0.737
0.862
0.923
--
F1
0.871
0.937
0.755
0.867
0.730
--

Overall accuracy 0.853

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
0.8268
0.0336
0.0905
0.0461
0.0030
0.0000
building
0.0305
0.9364
0.0218
0.0111
0.0002
0.0001
low_veg
0.0153
0.0168
0.8399
0.1280
0.0000
0.0001
tree
0.0223
0.0037
0.1190
0.8549
0.0000
0.0000
car
0.2055
0.0001
0.0492
0.0101
0.7351
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.873
0.935
0.802
0.869
0.771
--
Recall/Completeness
0.827
0.936
0.840
0.855
0.735
--
F1
0.849
0.936
0.820
0.862
0.753
--

Overall accuracy 0.860

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
0.8622
0.0285
0.0803
0.0272
0.0017
0.0000
building
0.0278
0.9572
0.0102
0.0047
0.0000
0.0001
low_veg
0.0113
0.0106
0.8642
0.1139
0.0000
0.0001
tree
0.0145
0.0008
0.1040
0.8806
0.0000
0.0000
car
0.1463
0.0001
0.0383
0.0023
0.8129
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.903
0.957
0.831
0.893
0.830
--
Recall/Completeness
0.862
0.957
0.864
0.881
0.813
--
F1
0.882
0.957
0.847
0.887
0.821
--

Overall accuracy 0.887

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
0.8435
0.0573
0.0474
0.0462
0.0056
0.0000
building
0.0174
0.9604
0.0157
0.0065
0.0000
0.0000
low_veg
0.0562
0.0401
0.7246
0.1791
0.0000
0.0000
tree
0.0084
0.0022
0.0509
0.9385
0.0000
0.0000
car
0.1122
0.0011
0.0340
0.0197
0.8330
0.0000
clutter
0.0007
0.9980
0.0008
0.0004
0.0000
0.0000
Precision/Correctness
0.906
0.769
0.809
0.895
0.752
0.000
Recall/Completeness
0.844
0.960
0.725
0.938
0.833
0.000
F1
0.874
0.854
0.764
0.916
0.791
-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
0.8775
0.0478
0.0450
0.0265
0.0032
0.0000
building
0.0148
0.9726
0.0108
0.0018
0.0000
0.0000
low_veg
0.0513
0.0281
0.7698
0.1508
0.0000
0.0000
tree
0.0036
0.0007
0.0388
0.9569
0.0000
0.0000
car
0.0513
0.0000
0.0287
0.0131
0.9069
0.0000
clutter
0.0001
0.9998
0.0001
0.0000
0.0000
0.0000
Precision/Correctness
0.928
0.789
0.840
0.923
0.807
0.000
Recall/Completeness
0.878
0.973
0.770
0.957
0.907
0.000
F1
0.902
0.871
0.803
0.939
0.854
-nan

Overall accuracy 0.882

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
0.8974
0.0216
0.0404
0.0322
0.0084
0.0000
building
0.0343
0.9453
0.0136
0.0066
0.0002
0.0000
low_veg
0.1024
0.0345
0.7141
0.1478
0.0004
0.0007
tree
0.0220
0.0042
0.0624
0.9111
0.0002
0.0000
car
0.1918
0.0003
0.0125
0.0155
0.7799
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.890
0.918
0.812
0.864
0.749
--
Recall/Completeness
0.897
0.945
0.714
0.911
0.780
--
F1
0.894
0.931
0.760
0.887
0.764
--

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_area22_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9307
0.0142
0.0340
0.0156
0.0055
0.0000
building
0.0281
0.9637
0.0049
0.0033
0.0000
0.0000
low_veg
0.0991
0.0225
0.7568
0.1208
0.0001
0.0008
tree
0.0094
0.0011
0.0460
0.9435
0.0001
0.0000
car
0.1114
0.0001
0.0103
0.0057
0.8725
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.915
0.949
0.854
0.902
0.795
--
Recall/Completeness
0.931
0.964
0.757
0.943
0.872
--
F1
0.923
0.957
0.803
0.922
0.832
--

Overall accuracy 0.906

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
0.8149
0.0488
0.0941
0.0354
0.0067
0.0001
building
0.0499
0.8847
0.0558
0.0094
0.0000
0.0001
low_veg
0.0251
0.0190
0.8792
0.0764
0.0003
0.0000
tree
0.0176
0.0061
0.1530
0.8233
0.0000
0.0000
car
0.1955
0.0000
0.0054
0.0060
0.7932
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.826
0.910
0.851
0.845
0.733
--
Recall/Completeness
0.815
0.885
0.879
0.823
0.793
--
F1
0.821
0.897
0.865
0.834
0.762
--

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_area24_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8467
0.0394
0.0850
0.0243
0.0046
0.0001
building
0.0472
0.8968
0.0489
0.0069
0.0000
0.0001
low_veg
0.0218
0.0141
0.8984
0.0655
0.0003
0.0000
tree
0.0105
0.0026
0.1319
0.8550
0.0000
0.0000
car
0.1018
0.0000
0.0008
0.0023
0.8951
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.852
0.934
0.873
0.869
0.759
--
Recall/Completeness
0.847
0.897
0.898
0.855
0.895
--
F1
0.849
0.915
0.886
0.862
0.821
--

Overall accuracy 0.880

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
0.9360
0.0275
0.0209
0.0069
0.0087
0.0000
building
0.0806
0.8952
0.0188
0.0046
0.0007
0.0000
low_veg
0.0859
0.0272
0.6751
0.2111
0.0007
0.0000
tree
0.0138
0.0065
0.0499
0.9296
0.0002
0.0000
car
0.2597
0.0105
0.0029
0.0046
0.7223
0.0001
clutter
0.4394
0.3017
0.1637
0.0020
0.0625
0.0308
Precision/Correctness
0.842
0.952
0.876
0.673
0.876
0.923
Recall/Completeness
0.936
0.895
0.675
0.930
0.722
0.031
F1
0.887
0.923
0.762
0.781
0.792
0.060

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: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9618
0.0180
0.0148
0.0025
0.0029
0.0000
building
0.0698
0.9140
0.0136
0.0020
0.0007
0.0000
low_veg
0.0664
0.0139
0.7185
0.2008
0.0004
0.0000
tree
0.0054
0.0021
0.0357
0.9568
0.0000
0.0000
car
0.1591
0.0096
0.0015
0.0033
0.8265
0.0000
clutter
0.4435
0.3130
0.1425
0.0002
0.0658
0.0351
Precision/Correctness
0.876
0.973
0.910
0.702
0.936
0.987
Recall/Completeness
0.962
0.914
0.719
0.957
0.826
0.035
F1
0.917
0.942
0.803
0.810
0.878
0.068

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_area29_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9355
0.0192
0.0243
0.0145
0.0060
0.0005
building
0.0426
0.9382
0.0128
0.0063
0.0000
0.0000
low_veg
0.0656
0.0214
0.6349
0.2777
0.0003
0.0000
tree
0.0067
0.0024
0.0287
0.9621
0.0000
0.0000
car
0.2313
0.0201
0.0028
0.0111
0.7277
0.0070
clutter
0.4435
0.3853
0.0218
0.0156
0.0843
0.0494
Precision/Correctness
0.912
0.916
0.842
0.680
0.656
0.832
Recall/Completeness
0.936
0.938
0.635
0.962
0.728
0.049
F1
0.924
0.927
0.724
0.797
0.690
0.093

Overall accuracy 0.865

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
0.9579
0.0129
0.0180
0.0067
0.0043
0.0003
building
0.0364
0.9532
0.0071
0.0033
0.0000
0.0000
low_veg
0.0417
0.0100
0.6824
0.2658
0.0001
0.0000
tree
0.0025
0.0007
0.0210
0.9758
0.0000
0.0000
car
0.1415
0.0214
0.0019
0.0080
0.8203
0.0069
clutter
0.4194
0.4091
0.0181
0.0069
0.0906
0.0558
Precision/Correctness
0.935
0.936
0.882
0.720
0.659
0.883
Recall/Completeness
0.958
0.953
0.682
0.976
0.820
0.056
F1
0.946
0.945
0.770
0.828
0.731
0.105

Overall accuracy 0.895

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
0.9667
0.0104
0.0093
0.0044
0.0086
0.0005
building
0.0696
0.9174
0.0081
0.0025
0.0021
0.0003
low_veg
0.0497
0.0024
0.9171
0.0290
0.0015
0.0002
tree
0.0419
0.0055
0.0935
0.8581
0.0011
0.0000
car
0.1586
0.0738
0.0097
0.0062
0.7512
0.0006
clutter
0.4377
0.2194
0.0357
0.0155
0.0615
0.2302
Precision/Correctness
0.879
0.944
0.883
0.929
0.810
0.958
Recall/Completeness
0.967
0.917
0.917
0.858
0.751
0.230
F1
0.921
0.930
0.900
0.892
0.780
0.371

Overall accuracy 0.901

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
0.9813
0.0085
0.0057
0.0010
0.0034
0.0001
building
0.0580
0.9372
0.0023
0.0005
0.0017
0.0003
low_veg
0.0288
0.0010
0.9474
0.0223
0.0005
0.0000
tree
0.0170
0.0023
0.0736
0.9067
0.0003
0.0000
car
0.0814
0.0836
0.0074
0.0024
0.8245
0.0007
clutter
0.3846
0.2466
0.0310
0.0091
0.0647
0.2639
Precision/Correctness
0.912
0.952
0.921
0.959
0.859
0.980
Recall/Completeness
0.981
0.937
0.947
0.907
0.825
0.264
F1
0.945
0.945
0.934
0.932
0.841
0.416

Overall accuracy 0.929

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
0.9694
0.0157
0.0076
0.0034
0.0021
0.0018
building
0.1367
0.8046
0.0513
0.0040
0.0018
0.0016
low_veg
0.0808
0.0158
0.8376
0.0650
0.0008
0.0000
tree
0.0420
0.0062
0.1385
0.8132
0.0001
0.0000
car
0.2251
0.0194
0.0010
0.0031
0.7494
0.0021
clutter
0.4234
0.0987
0.0028
0.0008
0.0253
0.4492
Precision/Correctness
0.819
0.941
0.799
0.872
0.771
0.954
Recall/Completeness
0.969
0.805
0.838
0.813
0.749
0.449
F1
0.888
0.867
0.818
0.841
0.760
0.611

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_area33_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9818
0.0120
0.0041
0.0009
0.0008
0.0003
building
0.1322
0.8140
0.0489
0.0019
0.0017
0.0013
low_veg
0.0470
0.0093
0.8792
0.0639
0.0006
0.0000
tree
0.0178
0.0021
0.1278
0.8522
0.0001
0.0000
car
0.1069
0.0198
0.0000
0.0015
0.8695
0.0023
clutter
0.3827
0.1007
0.0011
0.0003
0.0270
0.4883
Precision/Correctness
0.846
0.955
0.819
0.892
0.790
0.978
Recall/Completeness
0.982
0.814
0.879
0.852
0.869
0.488
F1
0.909
0.879
0.848
0.872
0.828
0.651

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_area35_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8392
0.0709
0.0636
0.0245
0.0017
0.0000
building
0.0290
0.9465
0.0196
0.0047
0.0002
0.0000
low_veg
0.0541
0.0144
0.6960
0.2355
0.0000
0.0000
tree
0.0354
0.0084
0.1069
0.8491
0.0002
0.0000
car
0.2786
0.0123
0.0001
0.0058
0.7032
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.870
0.915
0.789
0.751
0.907
--
Recall/Completeness
0.839
0.946
0.696
0.849
0.703
--
F1
0.854
0.930
0.740
0.797
0.792
--

Overall accuracy 0.834

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
0.8805
0.0658
0.0452
0.0081
0.0004
0.0000
building
0.0212
0.9675
0.0101
0.0009
0.0002
0.0000
low_veg
0.0390
0.0059
0.7262
0.2290
0.0000
0.0000
tree
0.0150
0.0030
0.0816
0.9005
0.0000
0.0000
car
0.1704
0.0136
0.0000
0.0012
0.8148
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.916
0.937
0.845
0.779
0.966
--
Recall/Completeness
0.881
0.968
0.726
0.900
0.815
--
F1
0.898
0.952
0.781
0.835
0.884
--

Overall accuracy 0.871

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
0.9019
0.0263
0.0506
0.0168
0.0042
0.0002
building
0.0213
0.9340
0.0364
0.0063
0.0020
0.0000
low_veg
0.0420
0.0189
0.8397
0.0991
0.0003
0.0000
tree
0.0222
0.0047
0.1099
0.8629
0.0002
0.0000
car
0.1999
0.0297
0.0308
0.0087
0.7261
0.0048
clutter
--
--
--
--
--
--
Precision/Correctness
0.912
0.946
0.841
0.832
0.800
--
Recall/Completeness
0.902
0.934
0.840
0.863
0.726
--
F1
0.907
0.940
0.840
0.847
0.761
--

Overall accuracy 0.883

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
0.9301
0.0229
0.0380
0.0066
0.0021
0.0002
building
0.0149
0.9592
0.0215
0.0028
0.0016
0.0000
low_veg
0.0255
0.0135
0.8783
0.0826
0.0001
0.0000
tree
0.0081
0.0019
0.0879
0.9020
0.0001
0.0000
car
0.1151
0.0325
0.0209
0.0024
0.8232
0.0060
clutter
--
--
--
--
--
--
Precision/Correctness
0.949
0.960
0.881
0.871
0.853
--
Recall/Completeness
0.930
0.959
0.878
0.902
0.823
--
F1
0.940
0.960
0.880
0.886
0.838
--

Overall accuracy 0.917

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image