Detailled semantic labeling (2D) result


Name T. V. Duy
Affiliation Hanoi University of Science and Technology, Vietnam
Abbreviation BKHN_3
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
0.909
0.029
0.040
0.016
0.005
0.001
building
0.046
0.927
0.017
0.009
0.001
0.001
low_veg
0.060
0.022
0.770
0.147
0.000
0.000
tree
0.022
0.006
0.092
0.881
0.000
0.000
car
0.204
0.039
0.006
0.005
0.744
0.002
clutter
0.360
0.273
0.024
0.007
0.049
0.288
Precision/Correctness
0.877
0.934
0.820
0.838
0.822
0.825
Recall/Completeness
0.909
0.927
0.770
0.881
0.744
0.288
F1
0.892
0.930
0.794
0.859
0.781
0.427

Overall accuracy 0.870

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
0.934
0.023
0.033
0.007
0.003
0.001
building
0.038
0.944
0.011
0.006
0.001
0.001
low_veg
0.049
0.013
0.804
0.133
0.000
0.000
tree
0.011
0.002
0.075
0.912
0.000
0.000
car
0.103
0.045
0.003
0.002
0.844
0.003
clutter
0.321
0.293
0.020
0.002
0.050
0.313
Precision/Correctness
0.907
0.953
0.855
0.866
0.847
0.835
Recall/Completeness
0.934
0.944
0.804
0.912
0.844
0.313
F1
0.920
0.948
0.829
0.888
0.845
0.456

Overall accuracy 0.898
=============================================================

Tile top_mosaic_09cm_area2_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9538
0.0107
0.0185
0.0124
0.0045
0.0000
building
0.0263
0.9541
0.0163
0.0029
0.0003
0.0000
low_veg
0.0903
0.0225
0.7052
0.1819
0.0002
0.0000
tree
0.0323
0.0094
0.0912
0.8653
0.0003
0.0015
car
0.2434
0.0012
0.0010
0.0008
0.7535
0.0000
clutter
0.0402
0.0087
0.0002
0.0102
0.0000
0.9406
Precision/Correctness
0.855
0.953
0.848
0.815
0.900
0.980
Recall/Completeness
0.954
0.954
0.705
0.865
0.753
0.941
F1
0.901
0.954
0.770
0.839
0.820
0.960

Overall accuracy 0.868

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
0.9758
0.0076
0.0105
0.0032
0.0029
0.0000
building
0.0176
0.9723
0.0094
0.0005
0.0002
0.0000
low_veg
0.0737
0.0138
0.7371
0.1752
0.0001
0.0000
tree
0.0177
0.0062
0.0780
0.8971
0.0002
0.0007
car
0.1232
0.0002
0.0000
0.0001
0.8765
0.0000
clutter
0.0384
0.0069
0.0001
0.0023
0.0000
0.9523
Precision/Correctness
0.894
0.971
0.879
0.839
0.925
0.990
Recall/Completeness
0.976
0.972
0.737
0.897
0.876
0.952
F1
0.933
0.972
0.802
0.867
0.900
0.971

Overall accuracy 0.897

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
0.9239
0.0533
0.0103
0.0066
0.0056
0.0002
building
0.0460
0.9420
0.0092
0.0025
0.0004
0.0000
low_veg
0.1387
0.0389
0.4978
0.3244
0.0002
0.0000
tree
0.0494
0.0159
0.0644
0.8701
0.0002
0.0000
car
0.2619
0.0046
0.0002
0.0005
0.7328
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.876
0.967
0.663
0.701
0.851
--
Recall/Completeness
0.924
0.942
0.498
0.870
0.733
--
F1
0.899
0.954
0.569
0.777
0.788
--

Overall accuracy 0.909

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
0.9498
0.0356
0.0073
0.0033
0.0038
0.0003
building
0.0339
0.9564
0.0079
0.0016
0.0003
0.0000
low_veg
0.1008
0.0126
0.5364
0.3501
0.0001
0.0000
tree
0.0236
0.0062
0.0570
0.9132
0.0000
0.0000
car
0.1488
0.0007
0.0000
0.0000
0.8504
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.910
0.981
0.696
0.730
0.882
--
Recall/Completeness
0.950
0.956
0.536
0.913
0.850
--
F1
0.930
0.968
0.606
0.811
0.866
--

Overall accuracy 0.934

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
0.9054
0.0511
0.0301
0.0089
0.0043
0.0001
building
0.0395
0.9424
0.0149
0.0031
0.0002
0.0000
low_veg
0.0991
0.0304
0.7067
0.1636
0.0002
0.0000
tree
0.0158
0.0041
0.0524
0.9276
0.0002
0.0000
car
0.2382
0.0079
0.0031
0.0017
0.7491
0.0001
clutter
--
--
--
--
--
--
Precision/Correctness
0.878
0.947
0.731
0.928
0.907
--
Recall/Completeness
0.905
0.942
0.707
0.928
0.749
--
F1
0.891
0.944
0.719
0.928
0.821
--

Overall accuracy 0.900

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
0.9381
0.0361
0.0219
0.0021
0.0017
0.0001
building
0.0298
0.9587
0.0103
0.0010
0.0002
0.0000
low_veg
0.0840
0.0151
0.7546
0.1462
0.0000
0.0000
tree
0.0060
0.0015
0.0394
0.9530
0.0001
0.0000
car
0.1313
0.0059
0.0015
0.0001
0.8610
0.0001
clutter
--
--
--
--
--
--
Precision/Correctness
0.915
0.968
0.780
0.949
0.952
--
Recall/Completeness
0.938
0.959
0.755
0.953
0.861
--
F1
0.926
0.963
0.767
0.951
0.904
--

Overall accuracy 0.931

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
0.8859
0.0347
0.0671
0.0081
0.0043
0.0000
building
0.0238
0.9577
0.0134
0.0047
0.0005
0.0000
low_veg
0.0568
0.0133
0.8566
0.0730
0.0004
0.0000
tree
0.0262
0.0064
0.0752
0.8920
0.0001
0.0000
car
0.2344
0.0039
0.0090
0.0034
0.7486
0.0007
clutter
--
--
--
--
--
--
Precision/Correctness
0.912
0.936
0.799
0.922
0.892
--
Recall/Completeness
0.886
0.958
0.857
0.892
0.749
--
F1
0.899
0.947
0.827
0.907
0.814
--

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_area8_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9097
0.0290
0.0576
0.0015
0.0022
0.0000
building
0.0136
0.9778
0.0057
0.0025
0.0003
0.0000
low_veg
0.0424
0.0054
0.8901
0.0620
0.0001
0.0000
tree
0.0109
0.0027
0.0548
0.9315
0.0000
0.0000
car
0.1233
0.0034
0.0035
0.0023
0.8665
0.0010
clutter
--
--
--
--
--
--
Precision/Correctness
0.948
0.956
0.841
0.945
0.933
--
Recall/Completeness
0.910
0.978
0.890
0.932
0.866
--
F1
0.928
0.967
0.865
0.938
0.898
--

Overall accuracy 0.927

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
0.8380
0.0642
0.0655
0.0203
0.0032
0.0088
building
0.0176
0.9516
0.0186
0.0115
0.0006
0.0000
low_veg
0.0696
0.0359
0.7542
0.1401
0.0001
0.0000
tree
0.0139
0.0092
0.0698
0.9072
0.0000
0.0000
car
0.1672
0.0370
0.0026
0.0023
0.7897
0.0012
clutter
--
--
--
--
--
--
Precision/Correctness
0.939
0.874
0.754
0.842
0.801
--
Recall/Completeness
0.838
0.952
0.754
0.907
0.790
--
F1
0.886
0.911
0.754
0.873
0.795
--

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_area10_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8701
0.0514
0.0584
0.0085
0.0020
0.0095
building
0.0134
0.9641
0.0134
0.0086
0.0005
0.0000
low_veg
0.0680
0.0236
0.7972
0.1111
0.0001
0.0000
tree
0.0061
0.0047
0.0514
0.9377
0.0000
0.0000
car
0.0691
0.0447
0.0002
0.0003
0.8839
0.0018
clutter
--
--
--
--
--
--
Precision/Correctness
0.954
0.903
0.789
0.886
0.837
--
Recall/Completeness
0.870
0.964
0.797
0.938
0.884
--
F1
0.910
0.933
0.793
0.911
0.860
--

Overall accuracy 0.894

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
0.8790
0.0344
0.0531
0.0300
0.0034
0.0001
building
0.1670
0.8138
0.0147
0.0043
0.0002
0.0000
low_veg
0.0591
0.0256
0.7517
0.1628
0.0009
0.0000
tree
0.0115
0.0070
0.1127
0.8687
0.0001
0.0000
car
0.1644
0.0008
0.0000
0.0037
0.8288
0.0022
clutter
--
--
--
--
--
--
Precision/Correctness
0.698
0.913
0.807
0.860
0.838
--
Recall/Completeness
0.879
0.814
0.752
0.869
0.829
--
F1
0.778
0.860
0.778
0.864
0.833
--

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
0.9067
0.0310
0.0453
0.0159
0.0011
0.0001
building
0.1757
0.8160
0.0069
0.0012
0.0002
0.0000
low_veg
0.0572
0.0170
0.7838
0.1412
0.0009
0.0000
tree
0.0061
0.0029
0.0952
0.8957
0.0001
0.0000
car
0.0619
0.0001
0.0000
0.0007
0.9339
0.0033
clutter
--
--
--
--
--
--
Precision/Correctness
0.710
0.939
0.837
0.887
0.880
--
Recall/Completeness
0.907
0.816
0.784
0.896
0.934
--
F1
0.796
0.873
0.810
0.891
0.906
--

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
0.8328
0.0341
0.0890
0.0350
0.0069
0.0022
building
0.0192
0.9579
0.0166
0.0063
0.0000
0.0000
low_veg
0.0771
0.0457
0.7101
0.1658
0.0010
0.0004
tree
0.0296
0.0102
0.1281
0.8320
0.0002
0.0000
car
0.1340
0.0000
0.0000
0.0041
0.8619
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.852
0.881
0.732
0.845
0.547
--
Recall/Completeness
0.833
0.958
0.710
0.832
0.862
--
F1
0.842
0.918
0.721
0.838
0.669
--

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_area14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8519
0.0299
0.0847
0.0248
0.0063
0.0024
building
0.0130
0.9776
0.0069
0.0024
0.0000
0.0000
low_veg
0.0718
0.0332
0.7383
0.1553
0.0010
0.0004
tree
0.0213
0.0042
0.1156
0.8588
0.0001
0.0000
car
0.0413
0.0000
0.0000
0.0008
0.9580
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.879
0.911
0.754
0.866
0.515
--
Recall/Completeness
0.852
0.978
0.738
0.859
0.958
--
F1
0.865
0.943
0.746
0.863
0.670
--

Overall accuracy 0.848

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
0.8377
0.0251
0.0896
0.0446
0.0030
0.0000
building
0.0277
0.9396
0.0217
0.0105
0.0003
0.0001
low_veg
0.0237
0.0159
0.8183
0.1413
0.0001
0.0007
tree
0.0273
0.0045
0.1162
0.8521
0.0000
0.0000
car
0.1115
0.0001
0.0138
0.0046
0.8698
0.0002
clutter
--
--
--
--
--
--
Precision/Correctness
0.854
0.942
0.801
0.861
0.783
--
Recall/Completeness
0.838
0.940
0.818
0.852
0.870
--
F1
0.846
0.941
0.809
0.856
0.824
--

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_area16_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8699
0.0213
0.0797
0.0276
0.0015
0.0000
building
0.0235
0.9617
0.0101
0.0045
0.0002
0.0001
low_veg
0.0195
0.0101
0.8412
0.1283
0.0000
0.0008
tree
0.0191
0.0014
0.1009
0.8786
0.0000
0.0000
car
0.0274
0.0000
0.0091
0.0004
0.9629
0.0001
clutter
--
--
--
--
--
--
Precision/Correctness
0.885
0.962
0.831
0.882
0.850
--
Recall/Completeness
0.870
0.962
0.841
0.879
0.963
--
F1
0.877
0.962
0.836
0.880
0.903
--

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_area20_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8441
0.0358
0.0678
0.0409
0.0113
0.0000
building
0.0160
0.9486
0.0209
0.0145
0.0000
0.0000
low_veg
0.0579
0.0165
0.7563
0.1674
0.0018
0.0000
tree
0.0074
0.0016
0.0450
0.9460
0.0000
0.0000
car
0.1309
0.0165
0.0162
0.0151
0.8211
0.0002
clutter
0.0477
0.9084
0.0436
0.0003
0.0000
0.0000
Precision/Correctness
0.901
0.813
0.799
0.900
0.562
0.000
Recall/Completeness
0.844
0.949
0.756
0.946
0.821
0.000
F1
0.872
0.876
0.777
0.923
0.667
-nan

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_area20_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8759
0.0283
0.0636
0.0229
0.0093
0.0000
building
0.0135
0.9601
0.0153
0.0111
0.0000
0.0000
low_veg
0.0517
0.0076
0.8000
0.1386
0.0020
0.0001
tree
0.0027
0.0004
0.0329
0.9640
0.0000
0.0000
car
0.0765
0.0213
0.0017
0.0053
0.8952
0.0001
clutter
0.0390
0.9210
0.0399
0.0000
0.0000
0.0000
Precision/Correctness
0.925
0.827
0.830
0.926
0.542
0.000
Recall/Completeness
0.876
0.960
0.800
0.964
0.895
0.000
F1
0.900
0.889
0.815
0.945
0.675
-nan

Overall accuracy 0.888

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
0.8939
0.0251
0.0428
0.0317
0.0064
0.0001
building
0.0198
0.9626
0.0119
0.0056
0.0001
0.0000
low_veg
0.1103
0.0321
0.7055
0.1514
0.0005
0.0002
tree
0.0209
0.0031
0.0540
0.9219
0.0001
0.0000
car
0.2444
0.0131
0.0064
0.0086
0.7256
0.0020
clutter
--
--
--
--
--
--
Precision/Correctness
0.892
0.917
0.819
0.864
0.785
--
Recall/Completeness
0.894
0.963
0.706
0.922
0.726
--
F1
0.893
0.939
0.758
0.892
0.754
--

Overall accuracy 0.874

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
0.9259
0.0183
0.0366
0.0146
0.0044
0.0001
building
0.0147
0.9781
0.0052
0.0020
0.0000
0.0000
low_veg
0.1091
0.0195
0.7463
0.1244
0.0005
0.0002
tree
0.0083
0.0007
0.0377
0.9533
0.0000
0.0000
car
0.1518
0.0156
0.0009
0.0018
0.8276
0.0022
clutter
--
--
--
--
--
--
Precision/Correctness
0.916
0.946
0.860
0.903
0.814
--
Recall/Completeness
0.926
0.978
0.746
0.953
0.828
--
F1
0.921
0.962
0.799
0.927
0.821
--

Overall accuracy 0.907

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
0.8129
0.0387
0.1096
0.0325
0.0063
0.0000
building
0.0619
0.8868
0.0332
0.0181
0.0000
0.0000
low_veg
0.0223
0.0201
0.8742
0.0832
0.0003
0.0000
tree
0.0177
0.0060
0.1545
0.8217
0.0000
0.0000
car
0.1904
0.0003
0.0010
0.0070
0.8012
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.820
0.916
0.854
0.831
0.742
--
Recall/Completeness
0.813
0.887
0.874
0.822
0.801
--
F1
0.816
0.901
0.864
0.826
0.771
--

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_area24_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8420
0.0300
0.0998
0.0231
0.0052
0.0000
building
0.0591
0.9013
0.0238
0.0158
0.0000
0.0000
low_veg
0.0188
0.0157
0.8927
0.0724
0.0003
0.0000
tree
0.0110
0.0027
0.1319
0.8544
0.0000
0.0000
car
0.0764
0.0002
0.0000
0.0041
0.9193
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.845
0.937
0.878
0.854
0.741
--
Recall/Completeness
0.842
0.901
0.893
0.854
0.919
--
F1
0.843
0.919
0.885
0.854
0.821
--

Overall accuracy 0.878

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
0.9413
0.0229
0.0209
0.0076
0.0072
0.0001
building
0.0544
0.9239
0.0162
0.0046
0.0009
0.0000
low_veg
0.0769
0.0256
0.6758
0.2212
0.0004
0.0000
tree
0.0146
0.0054
0.0432
0.9367
0.0002
0.0000
car
0.2113
0.0066
0.0037
0.0051
0.7721
0.0013
clutter
0.7477
0.0781
0.0744
0.0109
0.0848
0.0040
Precision/Correctness
0.872
0.960
0.886
0.664
0.896
0.140
Recall/Completeness
0.941
0.924
0.676
0.937
0.772
0.004
F1
0.905
0.942
0.767
0.777
0.829
0.008

Overall accuracy 0.875

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
0.9661
0.0143
0.0149
0.0026
0.0021
0.0000
building
0.0429
0.9442
0.0100
0.0021
0.0007
0.0000
low_veg
0.0614
0.0140
0.7137
0.2107
0.0003
0.0000
tree
0.0071
0.0018
0.0269
0.9642
0.0000
0.0000
car
0.1094
0.0044
0.0010
0.0039
0.8800
0.0012
clutter
0.7768
0.0731
0.0460
0.0081
0.0906
0.0054
Precision/Correctness
0.905
0.978
0.924
0.694
0.949
0.193
Recall/Completeness
0.966
0.944
0.714
0.964
0.880
0.005
F1
0.935
0.961
0.805
0.807
0.913
0.011

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_area29_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9410
0.0152
0.0241
0.0131
0.0064
0.0002
building
0.0417
0.9399
0.0093
0.0068
0.0002
0.0022
low_veg
0.0586
0.0227
0.6223
0.2956
0.0007
0.0000
tree
0.0058
0.0020
0.0233
0.9689
0.0000
0.0001
car
0.2256
0.0019
0.0059
0.0129
0.7533
0.0003
clutter
0.5148
0.3265
0.0379
0.0126
0.0812
0.0270
Precision/Correctness
0.911
0.928
0.848
0.672
0.657
0.537
Recall/Completeness
0.941
0.940
0.622
0.969
0.753
0.027
F1
0.926
0.934
0.718
0.794
0.702
0.051

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_area29_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9621
0.0095
0.0178
0.0054
0.0050
0.0002
building
0.0363
0.9534
0.0045
0.0033
0.0001
0.0023
low_veg
0.0383
0.0114
0.6665
0.2832
0.0006
0.0000
tree
0.0017
0.0005
0.0162
0.9816
0.0000
0.0000
car
0.1419
0.0003
0.0056
0.0101
0.8420
0.0002
clutter
0.4984
0.3491
0.0324
0.0042
0.0850
0.0308
Precision/Correctness
0.932
0.947
0.887
0.712
0.652
0.535
Recall/Completeness
0.962
0.953
0.666
0.982
0.842
0.031
F1
0.947
0.950
0.761
0.825
0.735
0.058

Overall accuracy 0.894

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
0.9696
0.0097
0.0119
0.0034
0.0046
0.0007
building
0.0541
0.9291
0.0112
0.0021
0.0019
0.0016
low_veg
0.0392
0.0030
0.9174
0.0398
0.0004
0.0002
tree
0.0344
0.0035
0.1045
0.8570
0.0006
0.0000
car
0.1431
0.1759
0.0074
0.0037
0.6646
0.0053
clutter
0.4316
0.2334
0.0339
0.0083
0.0709
0.2219
Precision/Correctness
0.895
0.932
0.867
0.922
0.832
0.888
Recall/Completeness
0.970
0.929
0.917
0.857
0.665
0.222
F1
0.931
0.930
0.891
0.888
0.739
0.355

Overall accuracy 0.902

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
0.9821
0.0063
0.0084
0.0006
0.0023
0.0003
building
0.0423
0.9493
0.0054
0.0004
0.0014
0.0012
low_veg
0.0206
0.0017
0.9447
0.0329
0.0001
0.0000
tree
0.0116
0.0008
0.0843
0.9032
0.0001
0.0000
car
0.0607
0.1974
0.0022
0.0007
0.7329
0.0060
clutter
0.3769
0.2626
0.0294
0.0031
0.0764
0.2517
Precision/Correctness
0.928
0.944
0.904
0.948
0.852
0.924
Recall/Completeness
0.982
0.949
0.945
0.903
0.733
0.252
F1
0.954
0.947
0.924
0.925
0.788
0.396

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
0.9812
0.0053
0.0074
0.0030
0.0022
0.0009
building
0.1090
0.8165
0.0141
0.0478
0.0032
0.0094
low_veg
0.0637
0.0109
0.8144
0.1088
0.0005
0.0017
tree
0.0421
0.0043
0.1367
0.8168
0.0001
0.0000
car
0.2041
0.0443
0.0013
0.0030
0.7470
0.0004
clutter
0.5201
0.0931
0.0050
0.0021
0.0619
0.3178
Precision/Correctness
0.832
0.960
0.853
0.728
0.649
0.837
Recall/Completeness
0.981
0.817
0.814
0.817
0.747
0.318
F1
0.900
0.883
0.833
0.770
0.694
0.461

Overall accuracy 0.852

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
0.9915
0.0027
0.0034
0.0008
0.0015
0.0001
building
0.1034
0.8268
0.0094
0.0478
0.0030
0.0096
low_veg
0.0363
0.0041
0.8454
0.1121
0.0003
0.0017
tree
0.0181
0.0009
0.1242
0.8568
0.0000
0.0000
car
0.0897
0.0552
0.0000
0.0005
0.8541
0.0005
clutter
0.4887
0.0981
0.0047
0.0006
0.0664
0.3415
Precision/Correctness
0.857
0.972
0.882
0.735
0.637
0.842
Recall/Completeness
0.992
0.827
0.845
0.857
0.854
0.342
F1
0.919
0.893
0.863
0.791
0.730
0.486

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_area35_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8990
0.0368
0.0451
0.0176
0.0011
0.0003
building
0.0455
0.9324
0.0160
0.0051
0.0007
0.0003
low_veg
0.0642
0.0114
0.6940
0.2301
0.0003
0.0000
tree
0.0298
0.0053
0.1110
0.8538
0.0001
0.0000
car
0.2528
0.0333
0.0096
0.0070
0.6973
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.859
0.948
0.805
0.761
0.903
--
Recall/Completeness
0.899
0.932
0.694
0.854
0.697
--
F1
0.879
0.940
0.746
0.805
0.787
--

Overall accuracy 0.845

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
0.9342
0.0330
0.0286
0.0036
0.0004
0.0003
building
0.0325
0.9591
0.0063
0.0011
0.0007
0.0003
low_veg
0.0484
0.0050
0.7210
0.2252
0.0003
0.0000
tree
0.0101
0.0015
0.0858
0.9026
0.0000
0.0000
car
0.1417
0.0388
0.0067
0.0011
0.8117
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.905
0.965
0.861
0.785
0.932
--
Recall/Completeness
0.934
0.959
0.721
0.903
0.812
--
F1
0.919
0.962
0.785
0.840
0.868
--

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_area38_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9194
0.0277
0.0375
0.0122
0.0031
0.0001
building
0.0247
0.9258
0.0349
0.0135
0.0011
0.0000
low_veg
0.0436
0.0151
0.8520
0.0891
0.0001
0.0000
tree
0.0206
0.0044
0.1114
0.8636
0.0001
0.0000
car
0.1668
0.0423
0.0251
0.0056
0.7478
0.0124
clutter
--
--
--
--
--
--
Precision/Correctness
0.911
0.948
0.854
0.842
0.861
--
Recall/Completeness
0.919
0.926
0.852
0.864
0.748
--
F1
0.915
0.937
0.853
0.853
0.801
--

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_area38_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9443
0.0255
0.0248
0.0036
0.0016
0.0002
building
0.0173
0.9479
0.0231
0.0107
0.0010
0.0000
low_veg
0.0288
0.0098
0.8865
0.0749
0.0001
0.0000
tree
0.0074
0.0017
0.0879
0.9030
0.0000
0.0000
car
0.0676
0.0513
0.0146
0.0020
0.8482
0.0164
clutter
--
--
--
--
--
--
Precision/Correctness
0.946
0.961
0.892
0.875
0.897
--
Recall/Completeness
0.944
0.948
0.886
0.903
0.848
--
F1
0.945
0.954
0.889
0.889
0.872
--

Overall accuracy 0.921

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image