Detailled semantic labeling (2D) result


Name T. Forbes et al.
Affiliation Concordia University, Canada
Abbreviation CONC_2
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
0.891
0.053
0.031
0.013
0.011
0.000
building
0.074
0.901
0.018
0.005
0.002
0.001
low_veg
0.091
0.041
0.692
0.175
0.001
0.000
tree
0.037
0.009
0.090
0.864
0.000
0.000
car
0.177
0.058
0.008
0.003
0.753
0.001
clutter
0.408
0.325
0.029
0.007
0.052
0.179
Precision/Correctness
0.823
0.889
0.815
0.820
0.701
0.807
Recall/Completeness
0.891
0.901
0.692
0.864
0.753
0.179
F1
0.856
0.895
0.749
0.841
0.726
0.292

Overall accuracy 0.837

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
0.916
0.046
0.026
0.006
0.006
0.000
building
0.066
0.915
0.014
0.002
0.002
0.000
low_veg
0.076
0.029
0.730
0.164
0.000
0.000
tree
0.021
0.004
0.076
0.898
0.000
0.000
car
0.126
0.063
0.006
0.001
0.803
0.001
clutter
0.382
0.342
0.029
0.002
0.051
0.194
Precision/Correctness
0.855
0.913
0.845
0.845
0.754
0.836
Recall/Completeness
0.916
0.915
0.730
0.898
0.803
0.194
F1
0.885
0.914
0.783
0.871
0.777
0.315

Overall accuracy 0.865
=============================================================

Tile top_mosaic_09cm_area2_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9047
0.0553
0.0167
0.0125
0.0108
0.0000
building
0.0585
0.9181
0.0197
0.0029
0.0009
0.0000
low_veg
0.1181
0.0217
0.6734
0.1863
0.0001
0.0004
tree
0.0456
0.0075
0.1032
0.8430
0.0003
0.0005
car
0.1967
0.0187
0.0044
0.0019
0.7783
0.0000
clutter
0.3547
0.0000
0.0036
0.0207
0.0000
0.6210
Precision/Correctness
0.782
0.908
0.828
0.807
0.801
0.983
Recall/Completeness
0.905
0.918
0.673
0.843
0.778
0.621
F1
0.839
0.913
0.743
0.825
0.790
0.761

Overall accuracy 0.829

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
0.9260
0.0541
0.0104
0.0038
0.0057
0.0000
building
0.0487
0.9356
0.0141
0.0006
0.0009
0.0000
low_veg
0.0972
0.0110
0.7106
0.1808
0.0000
0.0004
tree
0.0276
0.0035
0.0927
0.8758
0.0002
0.0002
car
0.1242
0.0194
0.0035
0.0004
0.8524
0.0000
clutter
0.3552
0.0000
0.0035
0.0056
0.0000
0.6356
Precision/Correctness
0.820
0.928
0.854
0.831
0.859
0.989
Recall/Completeness
0.926
0.936
0.711
0.876
0.852
0.636
F1
0.870
0.932
0.776
0.853
0.856
0.774

Overall accuracy 0.858

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
0.9266
0.0487
0.0088
0.0032
0.0127
0.0000
building
0.0847
0.9036
0.0079
0.0015
0.0023
0.0000
low_veg
0.2137
0.0608
0.4511
0.2669
0.0075
0.0000
tree
0.0721
0.0265
0.0883
0.8123
0.0008
0.0000
car
0.2569
0.0187
0.0001
0.0002
0.7242
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.808
0.965
0.642
0.740
0.661
--
Recall/Completeness
0.927
0.904
0.451
0.812
0.724
--
F1
0.863
0.933
0.530
0.775
0.691
--

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_area4_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9558
0.0279
0.0071
0.0010
0.0081
0.0000
building
0.0722
0.9176
0.0073
0.0007
0.0022
0.0000
low_veg
0.1698
0.0256
0.5028
0.2965
0.0053
0.0000
tree
0.0374
0.0127
0.0902
0.8595
0.0002
0.0000
car
0.2066
0.0125
0.0000
0.0000
0.7809
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.836
0.982
0.655
0.762
0.693
--
Recall/Completeness
0.956
0.918
0.503
0.859
0.781
--
F1
0.892
0.949
0.569
0.808
0.734
--

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_area6_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8734
0.0859
0.0197
0.0071
0.0139
0.0001
building
0.0872
0.8939
0.0152
0.0018
0.0017
0.0001
low_veg
0.1507
0.0535
0.6261
0.1683
0.0014
0.0000
tree
0.0321
0.0066
0.0641
0.8970
0.0002
0.0000
car
0.2545
0.0239
0.0029
0.0008
0.7179
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.792
0.908
0.700
0.927
0.732
--
Recall/Completeness
0.873
0.894
0.626
0.897
0.718
--
F1
0.831
0.901
0.661
0.912
0.725
--

Overall accuracy 0.858

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
0.9008
0.0764
0.0131
0.0021
0.0076
0.0000
building
0.0749
0.9108
0.0126
0.0003
0.0013
0.0001
low_veg
0.1274
0.0373
0.6808
0.1542
0.0004
0.0000
tree
0.0162
0.0021
0.0543
0.9273
0.0000
0.0000
car
0.2058
0.0203
0.0023
0.0001
0.7715
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.832
0.930
0.736
0.946
0.799
--
Recall/Completeness
0.901
0.911
0.681
0.927
0.771
--
F1
0.865
0.920
0.707
0.937
0.785
--

Overall accuracy 0.889

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
0.8931
0.0475
0.0415
0.0075
0.0100
0.0003
building
0.0439
0.9389
0.0111
0.0043
0.0012
0.0006
low_veg
0.0734
0.0246
0.8309
0.0691
0.0019
0.0000
tree
0.0387
0.0095
0.0926
0.8587
0.0004
0.0000
car
0.1802
0.0233
0.0057
0.0010
0.7899
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.884
0.906
0.812
0.924
0.774
--
Recall/Completeness
0.893
0.939
0.831
0.859
0.790
--
F1
0.888
0.922
0.821
0.890
0.782
--

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_area8_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9188
0.0412
0.0335
0.0019
0.0044
0.0003
building
0.0348
0.9551
0.0062
0.0022
0.0011
0.0006
low_veg
0.0532
0.0146
0.8735
0.0581
0.0005
0.0000
tree
0.0191
0.0041
0.0764
0.9003
0.0001
0.0000
car
0.1255
0.0243
0.0017
0.0003
0.8482
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.920
0.931
0.848
0.946
0.860
--
Recall/Completeness
0.919
0.955
0.873
0.900
0.848
--
F1
0.920
0.943
0.861
0.922
0.854
--

Overall accuracy 0.913

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
0.8356
0.0871
0.0509
0.0171
0.0092
0.0000
building
0.0514
0.9189
0.0154
0.0092
0.0052
0.0000
low_veg
0.0989
0.0484
0.6764
0.1763
0.0000
0.0000
tree
0.0246
0.0118
0.0688
0.8947
0.0001
0.0000
car
0.0841
0.0173
0.0168
0.0017
0.8801
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.899
0.832
0.763
0.823
0.569
--
Recall/Completeness
0.836
0.919
0.676
0.895
0.880
--
F1
0.866
0.873
0.717
0.857
0.691
--

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_area10_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8665
0.0747
0.0455
0.0071
0.0061
0.0000
building
0.0459
0.9304
0.0126
0.0062
0.0048
0.0000
low_veg
0.0936
0.0312
0.7266
0.1486
0.0000
0.0000
tree
0.0113
0.0065
0.0544
0.9278
0.0000
0.0000
car
0.0461
0.0101
0.0166
0.0000
0.9271
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.919
0.864
0.796
0.863
0.582
--
Recall/Completeness
0.867
0.930
0.727
0.928
0.927
--
F1
0.892
0.896
0.760
0.894
0.715
--

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_area12_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8809
0.0440
0.0432
0.0229
0.0088
0.0001
building
0.1820
0.8062
0.0058
0.0054
0.0006
0.0000
low_veg
0.0881
0.0480
0.6588
0.2028
0.0006
0.0016
tree
0.0281
0.0110
0.1035
0.8568
0.0005
0.0000
car
0.1001
0.0013
0.0008
0.0022
0.8957
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.637
0.864
0.807
0.834
0.721
--
Recall/Completeness
0.881
0.806
0.659
0.857
0.896
--
F1
0.740
0.834
0.726
0.845
0.799
--

Overall accuracy 0.793

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
0.9088
0.0398
0.0371
0.0113
0.0030
0.0001
building
0.1889
0.8063
0.0024
0.0017
0.0006
0.0000
low_veg
0.0851
0.0357
0.6938
0.1831
0.0005
0.0017
tree
0.0191
0.0049
0.0897
0.8859
0.0004
0.0000
car
0.0487
0.0003
0.0000
0.0000
0.9510
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.656
0.899
0.834
0.859
0.804
--
Recall/Completeness
0.909
0.806
0.694
0.886
0.951
--
F1
0.762
0.850
0.757
0.872
0.872
--

Overall accuracy 0.819

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
0.8570
0.0396
0.0679
0.0269
0.0086
0.0000
building
0.0325
0.9537
0.0079
0.0047
0.0013
0.0000
low_veg
0.1200
0.0666
0.6525
0.1594
0.0016
0.0000
tree
0.0460
0.0159
0.1065
0.8314
0.0002
0.0000
car
0.0702
0.0000
0.0000
0.0054
0.9244
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.791
0.842
0.759
0.854
0.481
--
Recall/Completeness
0.857
0.954
0.652
0.831
0.924
--
F1
0.823
0.895
0.702
0.843
0.632
--

Overall accuracy 0.813

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
0.8750
0.0348
0.0654
0.0176
0.0072
0.0000
building
0.0242
0.9692
0.0039
0.0015
0.0012
0.0000
low_veg
0.1144
0.0490
0.6847
0.1504
0.0015
0.0000
tree
0.0351
0.0082
0.0957
0.8608
0.0001
0.0000
car
0.0134
0.0000
0.0000
0.0016
0.9851
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.821
0.880
0.779
0.874
0.461
--
Recall/Completeness
0.875
0.969
0.685
0.861
0.985
--
F1
0.847
0.922
0.729
0.868
0.628
--

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_area16_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.7881
0.0939
0.0741
0.0379
0.0044
0.0015
building
0.0450
0.9140
0.0319
0.0083
0.0007
0.0000
low_veg
0.0460
0.0605
0.7038
0.1873
0.0004
0.0019
tree
0.0361
0.0090
0.1126
0.8418
0.0001
0.0003
car
0.0948
0.0144
0.0265
0.0092
0.8167
0.0384
clutter
--
--
--
--
--
--
Precision/Correctness
0.776
0.819
0.781
0.831
0.654
--
Recall/Completeness
0.788
0.914
0.704
0.842
0.817
--
F1
0.782
0.864
0.740
0.836
0.726
--

Overall accuracy 0.805

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
0.8157
0.0911
0.0679
0.0217
0.0020
0.0015
building
0.0415
0.9273
0.0279
0.0026
0.0006
0.0000
low_veg
0.0403
0.0551
0.7252
0.1770
0.0004
0.0021
tree
0.0260
0.0038
0.1013
0.8686
0.0001
0.0002
car
0.0524
0.0145
0.0230
0.0022
0.8614
0.0466
clutter
--
--
--
--
--
--
Precision/Correctness
0.809
0.841
0.804
0.850
0.713
--
Recall/Completeness
0.816
0.927
0.725
0.869
0.861
--
F1
0.812
0.882
0.763
0.859
0.780
--

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_area20_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8005
0.0941
0.0561
0.0421
0.0072
0.0000
building
0.0287
0.9414
0.0200
0.0100
0.0000
0.0000
low_veg
0.0733
0.0523
0.6753
0.1985
0.0004
0.0002
tree
0.0115
0.0053
0.0500
0.9332
0.0000
0.0000
car
0.1782
0.0196
0.0125
0.0081
0.7817
0.0000
clutter
0.0186
0.9807
0.0000
0.0007
0.0000
0.0000
Precision/Correctness
0.866
0.727
0.788
0.888
0.676
0.000
Recall/Completeness
0.801
0.941
0.675
0.933
0.782
0.000
F1
0.832
0.820
0.727
0.910
0.725
-nan

Overall accuracy 0.832

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
0.8301
0.0860
0.0525
0.0269
0.0044
0.0000
building
0.0273
0.9484
0.0172
0.0071
0.0000
0.0000
low_veg
0.0682
0.0360
0.7239
0.1713
0.0003
0.0003
tree
0.0053
0.0019
0.0402
0.9527
0.0000
0.0000
car
0.1413
0.0156
0.0071
0.0034
0.8326
0.0000
clutter
0.0157
0.9841
0.0000
0.0001
0.0000
0.0000
Precision/Correctness
0.892
0.751
0.816
0.912
0.724
0.000
Recall/Completeness
0.830
0.948
0.724
0.953
0.833
0.000
F1
0.860
0.838
0.767
0.932
0.774
-nan

Overall accuracy 0.858

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
0.8886
0.0381
0.0363
0.0269
0.0102
0.0000
building
0.0478
0.9385
0.0077
0.0051
0.0009
0.0000
low_veg
0.1301
0.0638
0.6527
0.1526
0.0008
0.0000
tree
0.0320
0.0061
0.0601
0.9015
0.0003
0.0000
car
0.2414
0.0182
0.0135
0.0090
0.7178
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.859
0.861
0.812
0.866
0.683
--
Recall/Completeness
0.889
0.939
0.653
0.902
0.718
--
F1
0.873
0.898
0.724
0.883
0.700
--

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_area22_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9203
0.0297
0.0317
0.0124
0.0059
0.0000
building
0.0422
0.9514
0.0037
0.0019
0.0008
0.0000
low_veg
0.1256
0.0490
0.6984
0.1265
0.0005
0.0000
tree
0.0154
0.0024
0.0451
0.9369
0.0001
0.0000
car
0.1949
0.0236
0.0109
0.0040
0.7666
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.887
0.896
0.850
0.902
0.739
--
Recall/Completeness
0.920
0.951
0.698
0.937
0.767
--
F1
0.903
0.923
0.767
0.919
0.752
--

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_area24_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8127
0.0682
0.0771
0.0288
0.0120
0.0010
building
0.0916
0.8640
0.0296
0.0142
0.0005
0.0000
low_veg
0.0430
0.0269
0.8477
0.0820
0.0004
0.0000
tree
0.0297
0.0117
0.1465
0.8119
0.0001
0.0000
car
0.1198
0.0000
0.0004
0.0061
0.8737
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.734
0.871
0.866
0.835
0.622
--
Recall/Completeness
0.813
0.864
0.848
0.812
0.874
--
F1
0.771
0.868
0.857
0.823
0.726
--

Overall accuracy 0.837

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
0.8437
0.0570
0.0702
0.0206
0.0075
0.0010
building
0.0898
0.8722
0.0258
0.0118
0.0005
0.0000
low_veg
0.0393
0.0207
0.8682
0.0714
0.0003
0.0000
tree
0.0214
0.0071
0.1247
0.8468
0.0000
0.0000
car
0.0904
0.0000
0.0000
0.0034
0.9062
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.755
0.900
0.887
0.858
0.653
--
Recall/Completeness
0.844
0.872
0.868
0.847
0.906
--
F1
0.797
0.886
0.878
0.852
0.759
--

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_area27_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9258
0.0339
0.0162
0.0047
0.0193
0.0000
building
0.1059
0.8793
0.0099
0.0032
0.0018
0.0000
low_veg
0.1392
0.0329
0.6236
0.2034
0.0007
0.0003
tree
0.0259
0.0067
0.0459
0.9210
0.0005
0.0001
car
0.1745
0.0274
0.0012
0.0041
0.7924
0.0003
clutter
0.6490
0.2032
0.0732
0.0091
0.0171
0.0485
Precision/Correctness
0.800
0.941
0.901
0.684
0.786
0.572
Recall/Completeness
0.926
0.879
0.624
0.921
0.792
0.049
F1
0.858
0.909
0.737
0.785
0.789
0.089

Overall accuracy 0.843

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
0.9557
0.0241
0.0108
0.0015
0.0079
0.0000
building
0.0940
0.8975
0.0061
0.0011
0.0014
0.0000
low_veg
0.1176
0.0180
0.6673
0.1966
0.0001
0.0003
tree
0.0128
0.0025
0.0312
0.9534
0.0001
0.0000
car
0.1140
0.0278
0.0005
0.0031
0.8544
0.0002
clutter
0.6321
0.2173
0.0617
0.0069
0.0155
0.0665
Precision/Correctness
0.831
0.963
0.935
0.709
0.872
0.647
Recall/Completeness
0.956
0.897
0.667
0.953
0.854
0.066
F1
0.889
0.929
0.779
0.813
0.863
0.121

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_area29_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9149
0.0421
0.0224
0.0097
0.0107
0.0001
building
0.0549
0.9301
0.0080
0.0052
0.0018
0.0000
low_veg
0.1128
0.0357
0.5794
0.2716
0.0006
0.0000
tree
0.0121
0.0054
0.0357
0.9466
0.0002
0.0000
car
0.1678
0.0113
0.0059
0.0054
0.8096
0.0000
clutter
0.5151
0.3817
0.0152
0.0125
0.0755
0.0000
Precision/Correctness
0.885
0.878
0.842
0.692
0.595
0.000
Recall/Completeness
0.915
0.930
0.579
0.947
0.810
0.000
F1
0.900
0.903
0.686
0.799
0.686
-nan

Overall accuracy 0.844

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
0.9347
0.0360
0.0178
0.0040
0.0073
0.0001
building
0.0494
0.9416
0.0049
0.0023
0.0018
0.0000
low_veg
0.0851
0.0197
0.6308
0.2642
0.0002
0.0000
tree
0.0045
0.0029
0.0284
0.9641
0.0001
0.0000
car
0.1150
0.0065
0.0065
0.0027
0.8694
0.0000
clutter
0.5036
0.4021
0.0123
0.0055
0.0765
0.0000
Precision/Correctness
0.908
0.900
0.874
0.726
0.607
0.000
Recall/Completeness
0.935
0.942
0.631
0.964
0.869
0.000
F1
0.921
0.920
0.733
0.828
0.715
-nan

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_area31_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9112
0.0584
0.0102
0.0022
0.0166
0.0014
building
0.0757
0.9138
0.0054
0.0015
0.0026
0.0009
low_veg
0.0694
0.0072
0.8729
0.0497
0.0009
0.0000
tree
0.0669
0.0093
0.0857
0.8349
0.0027
0.0004
car
0.1362
0.2175
0.0181
0.0037
0.6241
0.0004
clutter
0.4428
0.2680
0.1069
0.0035
0.0711
0.1077
Precision/Correctness
0.858
0.859
0.870
0.914
0.692
0.803
Recall/Completeness
0.911
0.914
0.873
0.835
0.624
0.108
F1
0.884
0.885
0.871
0.873
0.656
0.190

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_area31_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9283
0.0546
0.0076
0.0005
0.0082
0.0008
building
0.0661
0.9292
0.0017
0.0001
0.0022
0.0007
low_veg
0.0453
0.0030
0.9088
0.0427
0.0002
0.0000
tree
0.0311
0.0031
0.0697
0.8950
0.0010
0.0001
car
0.0939
0.2401
0.0162
0.0018
0.6478
0.0002
clutter
0.3983
0.2976
0.1177
0.0005
0.0683
0.1175
Precision/Correctness
0.891
0.877
0.900
0.936
0.756
0.868
Recall/Completeness
0.928
0.929
0.909
0.895
0.648
0.117
F1
0.909
0.902
0.904
0.915
0.698
0.207

Overall accuracy 0.889

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
0.9453
0.0390
0.0046
0.0032
0.0058
0.0021
building
0.0782
0.8644
0.0484
0.0046
0.0030
0.0015
low_veg
0.1115
0.0288
0.3966
0.4609
0.0011
0.0011
tree
0.0667
0.0125
0.1146
0.8061
0.0001
0.0001
car
0.1903
0.1089
0.0082
0.0014
0.6815
0.0098
clutter
0.5318
0.1752
0.0042
0.0000
0.0823
0.2065
Precision/Correctness
0.824
0.888
0.685
0.535
0.531
0.879
Recall/Completeness
0.945
0.864
0.397
0.806
0.682
0.206
F1
0.880
0.876
0.502
0.643
0.597
0.334

Overall accuracy 0.780

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
0.9596
0.0343
0.0021
0.0006
0.0025
0.0009
building
0.0722
0.8726
0.0482
0.0030
0.0026
0.0014
low_veg
0.0770
0.0195
0.4049
0.4970
0.0005
0.0010
tree
0.0390
0.0065
0.1065
0.8481
0.0000
0.0000
car
0.1278
0.1230
0.0055
0.0004
0.7301
0.0132
clutter
0.5143
0.1750
0.0041
0.0000
0.0869
0.2197
Precision/Correctness
0.852
0.908
0.698
0.532
0.539
0.912
Recall/Completeness
0.960
0.873
0.405
0.848
0.730
0.220
F1
0.902
0.890
0.513
0.654
0.620
0.354

Overall accuracy 0.799

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
0.8854
0.0611
0.0327
0.0160
0.0048
0.0000
building
0.0927
0.8886
0.0105
0.0056
0.0027
0.0000
low_veg
0.1106
0.0217
0.6019
0.2656
0.0001
0.0001
tree
0.0574
0.0082
0.0949
0.8389
0.0006
0.0000
car
0.1874
0.0616
0.0060
0.0042
0.7400
0.0009
clutter
--
--
--
--
--
--
Precision/Correctness
0.768
0.911
0.818
0.733
0.729
--
Recall/Completeness
0.885
0.889
0.602
0.839
0.740
--
F1
0.823
0.900
0.693
0.783
0.735
--

Overall accuracy 0.804

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
0.9173
0.0557
0.0213
0.0042
0.0015
0.0000
building
0.0822
0.9086
0.0054
0.0013
0.0026
0.0000
low_veg
0.0866
0.0115
0.6382
0.2636
0.0000
0.0001
tree
0.0274
0.0028
0.0766
0.8929
0.0003
0.0000
car
0.1434
0.0639
0.0009
0.0007
0.7904
0.0006
clutter
--
--
--
--
--
--
Precision/Correctness
0.815
0.936
0.866
0.756
0.798
--
Recall/Completeness
0.917
0.909
0.638
0.893
0.790
--
F1
0.863
0.922
0.735
0.819
0.794
--

Overall accuracy 0.841

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
0.9166
0.0316
0.0330
0.0100
0.0078
0.0010
building
0.0540
0.8922
0.0444
0.0048
0.0012
0.0034
low_veg
0.0594
0.0478
0.7515
0.1405
0.0007
0.0000
tree
0.0454
0.0088
0.1022
0.8433
0.0003
0.0000
car
0.1631
0.0324
0.0126
0.0038
0.7879
0.0001
clutter
--
--
--
--
--
--
Precision/Correctness
0.858
0.904
0.840
0.792
0.741
--
Recall/Completeness
0.917
0.892
0.752
0.843
0.788
--
F1
0.886
0.898
0.793
0.817
0.764
--

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_area38_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9415
0.0275
0.0236
0.0030
0.0035
0.0008
building
0.0462
0.9104
0.0374
0.0016
0.0011
0.0032
low_veg
0.0401
0.0412
0.7897
0.1287
0.0003
0.0000
tree
0.0230
0.0045
0.0841
0.8883
0.0001
0.0000
car
0.1250
0.0304
0.0071
0.0007
0.8368
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.898
0.924
0.871
0.821
0.817
--
Recall/Completeness
0.942
0.910
0.790
0.888
0.837
--
F1
0.919
0.917
0.829
0.853
0.827
--

Overall accuracy 0.881

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image