Detailled semantic labeling (2D) result


Name T. Forbes et al.
Affiliation Concordia University, Canada
Abbreviation CONC_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
0.910
0.032
0.039
0.016
0.004
0.000
building
0.053
0.916
0.024
0.006
0.001
0.000
low_veg
0.066
0.022
0.765
0.146
0.000
0.000
tree
0.022
0.005
0.100
0.873
0.000
0.000
car
0.298
0.048
0.010
0.006
0.637
0.001
clutter
0.389
0.305
0.020
0.007
0.066
0.213
Precision/Correctness
0.862
0.930
0.807
0.840
0.809
0.911
Recall/Completeness
0.910
0.916
0.765
0.873
0.637
0.213
F1
0.885
0.923
0.785
0.856
0.713
0.346

Overall accuracy 0.862

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
0.025
0.031
0.007
0.002
0.000
building
0.046
0.934
0.017
0.003
0.001
0.000
low_veg
0.054
0.014
0.799
0.133
0.000
0.000
tree
0.011
0.002
0.084
0.904
0.000
0.000
car
0.200
0.055
0.007
0.003
0.734
0.001
clutter
0.350
0.328
0.015
0.002
0.068
0.236
Precision/Correctness
0.893
0.948
0.840
0.868
0.830
0.924
Recall/Completeness
0.934
0.934
0.799
0.904
0.734
0.236
F1
0.913
0.941
0.819
0.886
0.779
0.376

Overall accuracy 0.891
=============================================================

Tile top_mosaic_09cm_area2_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9455
0.0133
0.0264
0.0101
0.0047
0.0000
building
0.0377
0.9375
0.0198
0.0049
0.0000
0.0000
low_veg
0.1033
0.0173
0.7194
0.1597
0.0002
0.0000
tree
0.0328
0.0044
0.1046
0.8573
0.0001
0.0008
car
0.3166
0.0020
0.0011
0.0010
0.6794
0.0000
clutter
0.0300
0.0010
0.0028
0.0200
0.0000
0.9461
Precision/Correctness
0.833
0.961
0.826
0.831
0.894
0.988
Recall/Completeness
0.946
0.938
0.719
0.857
0.679
0.946
F1
0.886
0.949
0.769
0.844
0.772
0.966

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
0.9678
0.0098
0.0165
0.0024
0.0036
0.0000
building
0.0286
0.9574
0.0116
0.0024
0.0000
0.0000
low_veg
0.0874
0.0086
0.7494
0.1544
0.0002
0.0001
tree
0.0161
0.0013
0.0915
0.8907
0.0001
0.0003
car
0.1905
0.0006
0.0005
0.0002
0.8081
0.0000
clutter
0.0284
0.0011
0.0010
0.0055
0.0000
0.9641
Precision/Correctness
0.873
0.979
0.858
0.853
0.911
0.995
Recall/Completeness
0.968
0.957
0.749
0.891
0.808
0.964
F1
0.918
0.968
0.800
0.871
0.857
0.979

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
0.9275
0.0558
0.0079
0.0054
0.0034
0.0000
building
0.0779
0.9108
0.0081
0.0023
0.0008
0.0000
low_veg
0.2000
0.0415
0.4613
0.2961
0.0011
0.0000
tree
0.0519
0.0094
0.0908
0.8479
0.0001
0.0000
car
0.4265
0.0460
0.0103
0.0002
0.5171
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.815
0.964
0.644
0.717
0.833
--
Recall/Completeness
0.927
0.911
0.461
0.848
0.517
--
F1
0.868
0.937
0.538
0.777
0.638
--

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
0.9542
0.0353
0.0054
0.0028
0.0022
0.0000
building
0.0662
0.9249
0.0068
0.0013
0.0008
0.0000
low_veg
0.1621
0.0124
0.5013
0.3233
0.0010
0.0000
tree
0.0205
0.0024
0.0827
0.8943
0.0000
0.0000
car
0.3404
0.0430
0.0103
0.0000
0.6063
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.844
0.980
0.677
0.743
0.851
--
Recall/Completeness
0.954
0.925
0.501
0.894
0.606
--
F1
0.896
0.952
0.576
0.812
0.708
--

Overall accuracy 0.911

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
0.9056
0.0440
0.0392
0.0077
0.0023
0.0012
building
0.0738
0.9002
0.0211
0.0032
0.0003
0.0014
low_veg
0.0894
0.0183
0.7836
0.1084
0.0003
0.0000
tree
0.0206
0.0024
0.0763
0.9005
0.0001
0.0001
car
0.4202
0.0115
0.0127
0.0014
0.5541
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.832
0.955
0.681
0.947
0.921
--
Recall/Completeness
0.906
0.900
0.784
0.900
0.554
--
F1
0.867
0.927
0.729
0.923
0.692
--

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_area6_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9345
0.0333
0.0285
0.0020
0.0006
0.0010
building
0.0618
0.9216
0.0139
0.0012
0.0003
0.0012
low_veg
0.0710
0.0083
0.8306
0.0901
0.0000
0.0000
tree
0.0081
0.0006
0.0610
0.9302
0.0000
0.0001
car
0.3178
0.0089
0.0110
0.0000
0.6622
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.871
0.971
0.728
0.966
0.969
--
Recall/Completeness
0.935
0.922
0.831
0.930
0.662
--
F1
0.902
0.946
0.776
0.948
0.787
--

Overall accuracy 0.915

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
0.8958
0.0314
0.0598
0.0091
0.0039
0.0000
building
0.0272
0.9556
0.0112
0.0051
0.0009
0.0000
low_veg
0.0639
0.0181
0.8629
0.0544
0.0007
0.0000
tree
0.0254
0.0072
0.0801
0.8871
0.0001
0.0000
car
0.3170
0.0098
0.0121
0.0061
0.6550
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.903
0.935
0.807
0.935
0.875
--
Recall/Completeness
0.896
0.956
0.863
0.887
0.655
--
F1
0.899
0.945
0.834
0.910
0.749
--

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_area8_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9192
0.0256
0.0507
0.0021
0.0023
0.0000
building
0.0167
0.9745
0.0054
0.0027
0.0008
0.0000
low_veg
0.0472
0.0097
0.9016
0.0411
0.0004
0.0000
tree
0.0091
0.0034
0.0624
0.9250
0.0000
0.0000
car
0.2112
0.0090
0.0050
0.0047
0.7702
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.941
0.956
0.845
0.960
0.908
--
Recall/Completeness
0.919
0.975
0.902
0.925
0.770
--
F1
0.930
0.965
0.872
0.942
0.834
--

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_area10_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8629
0.0712
0.0429
0.0177
0.0052
0.0000
building
0.0361
0.9338
0.0183
0.0098
0.0020
0.0000
low_veg
0.1084
0.0228
0.7461
0.1223
0.0003
0.0000
tree
0.0188
0.0059
0.0925
0.8827
0.0000
0.0000
car
0.2468
0.0290
0.0024
0.0043
0.7176
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.907
0.873
0.769
0.856
0.670
--
Recall/Completeness
0.863
0.934
0.746
0.883
0.718
--
F1
0.884
0.902
0.757
0.869
0.693
--

Overall accuracy 0.862

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
0.8922
0.0616
0.0348
0.0072
0.0042
0.0000
building
0.0298
0.9486
0.0129
0.0070
0.0017
0.0000
low_veg
0.1054
0.0118
0.7887
0.0939
0.0003
0.0000
tree
0.0084
0.0026
0.0738
0.9152
0.0000
0.0000
car
0.1627
0.0310
0.0008
0.0009
0.8046
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.926
0.897
0.810
0.900
0.673
--
Recall/Completeness
0.892
0.949
0.789
0.915
0.805
--
F1
0.909
0.922
0.799
0.908
0.733
--

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_area12_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8826
0.0244
0.0631
0.0280
0.0019
0.0000
building
0.1073
0.8570
0.0292
0.0064
0.0000
0.0001
low_veg
0.0394
0.0169
0.7617
0.1812
0.0005
0.0003
tree
0.0094
0.0061
0.1208
0.8637
0.0000
0.0000
car
0.2524
0.0014
0.0228
0.0052
0.7182
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.774
0.939
0.788
0.847
0.894
--
Recall/Completeness
0.883
0.857
0.762
0.864
0.718
--
F1
0.825
0.896
0.775
0.855
0.797
--

Overall accuracy 0.835

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
0.9096
0.0218
0.0544
0.0138
0.0004
0.0000
building
0.1121
0.8672
0.0185
0.0021
0.0000
0.0001
low_veg
0.0364
0.0103
0.7938
0.1586
0.0005
0.0003
tree
0.0042
0.0024
0.1039
0.8894
0.0000
0.0000
car
0.1391
0.0011
0.0173
0.0001
0.8424
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.792
0.960
0.818
0.875
0.935
--
Recall/Completeness
0.910
0.867
0.794
0.889
0.842
--
F1
0.846
0.911
0.806
0.882
0.886
--

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_area14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8577
0.0307
0.0761
0.0300
0.0055
0.0000
building
0.0119
0.9595
0.0222
0.0065
0.0000
0.0000
low_veg
0.0820
0.0477
0.7232
0.1464
0.0007
0.0000
tree
0.0303
0.0101
0.1289
0.8303
0.0000
0.0004
car
0.1614
0.0000
0.0001
0.0065
0.8320
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.855
0.882
0.740
0.860
0.604
--
Recall/Completeness
0.858
0.959
0.723
0.830
0.832
--
F1
0.856
0.919
0.732
0.845
0.700
--

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_area14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8768
0.0265
0.0718
0.0201
0.0049
0.0000
building
0.0068
0.9777
0.0129
0.0025
0.0000
0.0000
low_veg
0.0761
0.0337
0.7544
0.1351
0.0007
0.0000
tree
0.0212
0.0040
0.1176
0.8568
0.0000
0.0004
car
0.0587
0.0000
0.0000
0.0022
0.9391
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.882
0.914
0.761
0.882
0.584
--
Recall/Completeness
0.877
0.978
0.754
0.857
0.939
--
F1
0.879
0.945
0.758
0.869
0.720
--

Overall accuracy 0.857

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
0.8281
0.0255
0.0943
0.0497
0.0024
0.0000
building
0.0269
0.9329
0.0293
0.0109
0.0000
0.0000
low_veg
0.0202
0.0161
0.8051
0.1575
0.0001
0.0010
tree
0.0244
0.0042
0.1349
0.8365
0.0000
0.0000
car
0.1912
0.0311
0.0370
0.0130
0.7278
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.864
0.941
0.775
0.845
0.805
--
Recall/Completeness
0.828
0.933
0.805
0.836
0.728
--
F1
0.846
0.937
0.790
0.841
0.765
--

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_area16_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8612
0.0215
0.0851
0.0310
0.0013
0.0000
building
0.0230
0.9553
0.0177
0.0040
0.0000
0.0000
low_veg
0.0162
0.0105
0.8265
0.1456
0.0001
0.0011
tree
0.0162
0.0014
0.1213
0.8612
0.0000
0.0000
car
0.1163
0.0397
0.0255
0.0036
0.8150
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.896
0.961
0.802
0.867
0.858
--
Recall/Completeness
0.861
0.955
0.826
0.861
0.815
--
F1
0.878
0.958
0.814
0.864
0.836
--

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_area20_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8135
0.0694
0.0654
0.0483
0.0034
0.0000
building
0.0411
0.9227
0.0275
0.0088
0.0000
0.0000
low_veg
0.0538
0.0188
0.7875
0.1393
0.0006
0.0000
tree
0.0080
0.0011
0.0552
0.9357
0.0000
0.0000
car
0.2201
0.0080
0.0262
0.0097
0.7360
0.0000
clutter
0.1259
0.8497
0.0239
0.0005
0.0000
0.0000
Precision/Correctness
0.869
0.786
0.788
0.910
0.792
0.000
Recall/Completeness
0.813
0.923
0.787
0.936
0.736
0.000
F1
0.840
0.849
0.788
0.922
0.763
-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_area20_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8424
0.0645
0.0612
0.0298
0.0020
0.0000
building
0.0392
0.9351
0.0225
0.0032
0.0000
0.0000
low_veg
0.0473
0.0084
0.8352
0.1085
0.0007
0.0000
tree
0.0032
0.0002
0.0432
0.9534
0.0000
0.0000
car
0.1583
0.0070
0.0128
0.0010
0.8209
0.0000
clutter
0.1195
0.8631
0.0174
0.0000
0.0000
0.0000
Precision/Correctness
0.892
0.800
0.817
0.937
0.820
0.000
Recall/Completeness
0.842
0.935
0.835
0.953
0.821
0.000
F1
0.867
0.862
0.826
0.945
0.821
-nan

Overall accuracy 0.879

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
0.8827
0.0306
0.0505
0.0316
0.0044
0.0001
building
0.0255
0.9492
0.0169
0.0076
0.0007
0.0001
low_veg
0.0842
0.0366
0.7438
0.1354
0.0000
0.0000
tree
0.0199
0.0032
0.0603
0.9166
0.0000
0.0000
car
0.3599
0.0225
0.0308
0.0156
0.5711
0.0001
clutter
--
--
--
--
--
--
Precision/Correctness
0.900
0.902
0.803
0.872
0.802
--
Recall/Completeness
0.883
0.949
0.744
0.917
0.571
--
F1
0.891
0.925
0.772
0.893
0.667
--

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_area22_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9145
0.0241
0.0433
0.0152
0.0028
0.0001
building
0.0217
0.9649
0.0090
0.0036
0.0007
0.0001
low_veg
0.0809
0.0235
0.7906
0.1051
0.0000
0.0000
tree
0.0077
0.0010
0.0446
0.9467
0.0000
0.0000
car
0.2742
0.0305
0.0279
0.0062
0.6610
0.0001
clutter
--
--
--
--
--
--
Precision/Correctness
0.925
0.931
0.843
0.912
0.837
--
Recall/Completeness
0.914
0.965
0.791
0.947
0.661
--
F1
0.920
0.948
0.816
0.929
0.739
--

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
0.8320
0.0339
0.0879
0.0361
0.0051
0.0049
building
0.0698
0.8769
0.0415
0.0118
0.0000
0.0000
low_veg
0.0364
0.0154
0.8384
0.1097
0.0001
0.0001
tree
0.0203
0.0081
0.1585
0.8130
0.0001
0.0000
car
0.2684
0.0068
0.0056
0.0094
0.7053
0.0045
clutter
--
--
--
--
--
--
Precision/Correctness
0.780
0.925
0.850
0.797
0.771
--
Recall/Completeness
0.832
0.877
0.838
0.813
0.705
--
F1
0.805
0.900
0.844
0.805
0.737
--

Overall accuracy 0.838

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
0.8600
0.0241
0.0812
0.0254
0.0039
0.0053
building
0.0692
0.8864
0.0350
0.0095
0.0000
0.0000
low_veg
0.0328
0.0104
0.8562
0.1005
0.0001
0.0000
tree
0.0133
0.0042
0.1390
0.8434
0.0001
0.0000
car
0.1865
0.0056
0.0013
0.0038
0.7984
0.0044
clutter
--
--
--
--
--
--
Precision/Correctness
0.800
0.950
0.871
0.816
0.780
--
Recall/Completeness
0.860
0.886
0.856
0.843
0.798
--
F1
0.829
0.917
0.864
0.829
0.789
--

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_area27_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9425
0.0238
0.0196
0.0069
0.0071
0.0001
building
0.0805
0.8958
0.0161
0.0072
0.0005
0.0000
low_veg
0.0979
0.0250
0.6955
0.1813
0.0004
0.0000
tree
0.0139
0.0040
0.0500
0.9320
0.0001
0.0000
car
0.2730
0.0199
0.0044
0.0052
0.6975
0.0000
clutter
0.7083
0.1041
0.1161
0.0058
0.0568
0.0089
Precision/Correctness
0.835
0.958
0.887
0.698
0.896
0.336
Recall/Completeness
0.943
0.896
0.695
0.932
0.697
0.009
F1
0.886
0.926
0.780
0.798
0.784
0.017

Overall accuracy 0.866

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
0.9671
0.0149
0.0130
0.0023
0.0025
0.0001
building
0.0689
0.9151
0.0106
0.0051
0.0003
0.0000
low_veg
0.0806
0.0127
0.7368
0.1696
0.0003
0.0000
tree
0.0049
0.0011
0.0345
0.9595
0.0000
0.0000
car
0.1664
0.0209
0.0025
0.0039
0.8062
0.0000
clutter
0.7387
0.1016
0.0864
0.0033
0.0573
0.0126
Precision/Correctness
0.869
0.977
0.923
0.729
0.948
0.364
Recall/Completeness
0.967
0.915
0.737
0.959
0.806
0.013
F1
0.915
0.945
0.820
0.829
0.871
0.024

Overall accuracy 0.898

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
0.9423
0.0145
0.0269
0.0117
0.0046
0.0000
building
0.0388
0.9390
0.0157
0.0064
0.0001
0.0000
low_veg
0.0651
0.0184
0.6517
0.2640
0.0008
0.0000
tree
0.0071
0.0016
0.0309
0.9604
0.0000
0.0000
car
0.3220
0.0141
0.0038
0.0073
0.6527
0.0000
clutter
0.6194
0.2668
0.0228
0.0109
0.0712
0.0089
Precision/Correctness
0.902
0.937
0.830
0.695
0.676
0.955
Recall/Completeness
0.942
0.939
0.652
0.960
0.653
0.009
F1
0.921
0.938
0.730
0.806
0.664
0.018

Overall accuracy 0.869

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
0.9623
0.0091
0.0203
0.0047
0.0036
0.0000
building
0.0338
0.9531
0.0099
0.0032
0.0001
0.0000
low_veg
0.0418
0.0074
0.6995
0.2508
0.0005
0.0000
tree
0.0020
0.0002
0.0222
0.9756
0.0000
0.0000
car
0.2378
0.0123
0.0035
0.0047
0.7416
0.0000
clutter
0.6048
0.2860
0.0156
0.0041
0.0790
0.0104
Precision/Correctness
0.924
0.955
0.869
0.735
0.667
0.954
Recall/Completeness
0.962
0.953
0.699
0.976
0.742
0.010
F1
0.943
0.954
0.775
0.838
0.702
0.021

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_area31_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9639
0.0176
0.0107
0.0040
0.0037
0.0001
building
0.0779
0.9059
0.0104
0.0023
0.0026
0.0010
low_veg
0.0425
0.0019
0.9309
0.0245
0.0001
0.0000
tree
0.0415
0.0024
0.1055
0.8501
0.0004
0.0000
car
0.2098
0.2008
0.0083
0.0062
0.5743
0.0007
clutter
0.3991
0.4293
0.0398
0.0088
0.0994
0.0237
Precision/Correctness
0.875
0.896
0.870
0.938
0.788
0.695
Recall/Completeness
0.964
0.906
0.931
0.850
0.574
0.024
F1
0.917
0.901
0.900
0.892
0.664
0.046

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_area31_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9752
0.0150
0.0075
0.0007
0.0016
0.0001
building
0.0678
0.9238
0.0050
0.0004
0.0021
0.0010
low_veg
0.0238
0.0005
0.9581
0.0175
0.0000
0.0000
tree
0.0167
0.0005
0.0882
0.8945
0.0000
0.0000
car
0.1242
0.2277
0.0042
0.0019
0.6412
0.0009
clutter
0.3354
0.4923
0.0378
0.0026
0.1050
0.0268
Precision/Correctness
0.907
0.907
0.904
0.969
0.807
0.710
Recall/Completeness
0.975
0.924
0.958
0.894
0.641
0.027
F1
0.940
0.915
0.930
0.930
0.715
0.052

Overall accuracy 0.911

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
0.9791
0.0083
0.0062
0.0039
0.0018
0.0006
building
0.0323
0.8908
0.0723
0.0037
0.0002
0.0008
low_veg
0.0933
0.0119
0.6269
0.2673
0.0006
0.0000
tree
0.0408
0.0058
0.1174
0.8360
0.0000
0.0000
car
0.3921
0.0244
0.0042
0.0039
0.5754
0.0000
clutter
0.5494
0.1285
0.0019
0.0010
0.1095
0.2098
Precision/Correctness
0.857
0.952
0.729
0.666
0.522
0.961
Recall/Completeness
0.979
0.891
0.627
0.836
0.575
0.210
F1
0.914
0.921
0.674
0.742
0.548
0.344

Overall accuracy 0.838

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
0.9893
0.0048
0.0034
0.0012
0.0013
0.0001
building
0.0252
0.8998
0.0726
0.0017
0.0001
0.0007
low_veg
0.0608
0.0049
0.6482
0.2857
0.0004
0.0000
tree
0.0175
0.0019
0.1096
0.8711
0.0000
0.0000
car
0.2986
0.0259
0.0009
0.0034
0.6712
0.0000
clutter
0.5173
0.1330
0.0014
0.0001
0.1180
0.2302
Precision/Correctness
0.889
0.966
0.740
0.669
0.507
0.979
Recall/Completeness
0.989
0.900
0.648
0.871
0.671
0.230
F1
0.937
0.931
0.691
0.756
0.578
0.373

Overall accuracy 0.857

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
0.8955
0.0424
0.0403
0.0201
0.0017
0.0001
building
0.0598
0.9182
0.0164
0.0046
0.0009
0.0000
low_veg
0.0824
0.0133
0.6527
0.2514
0.0001
0.0000
tree
0.0326
0.0053
0.0896
0.8724
0.0001
0.0000
car
0.2585
0.0672
0.0024
0.0137
0.6451
0.0130
clutter
--
--
--
--
--
--
Precision/Correctness
0.830
0.940
0.820
0.748
0.870
--
Recall/Completeness
0.895
0.918
0.653
0.872
0.645
--
F1
0.862
0.929
0.727
0.806
0.741
--

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
0.9327
0.0372
0.0247
0.0046
0.0007
0.0001
building
0.0478
0.9419
0.0083
0.0011
0.0008
0.0000
low_veg
0.0626
0.0066
0.6859
0.2449
0.0000
0.0000
tree
0.0112
0.0011
0.0701
0.9176
0.0000
0.0000
car
0.1507
0.0768
0.0003
0.0051
0.7517
0.0153
clutter
--
--
--
--
--
--
Precision/Correctness
0.877
0.959
0.873
0.773
0.912
--
Recall/Completeness
0.933
0.942
0.686
0.918
0.752
--
F1
0.904
0.950
0.768
0.839
0.824
--

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
0.9170
0.0264
0.0429
0.0106
0.0030
0.0000
building
0.0286
0.9197
0.0445
0.0061
0.0011
0.0000
low_veg
0.0458
0.0300
0.8343
0.0897
0.0003
0.0000
tree
0.0230
0.0039
0.1178
0.8553
0.0000
0.0000
car
0.2817
0.0214
0.0276
0.0096
0.6596
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.900
0.934
0.835
0.849
0.846
--
Recall/Completeness
0.917
0.920
0.834
0.855
0.660
--
F1
0.909
0.927
0.835
0.852
0.741
--

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_area38_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9418
0.0244
0.0292
0.0028
0.0018
0.0000
building
0.0198
0.9447
0.0317
0.0029
0.0009
0.0000
low_veg
0.0304
0.0269
0.8677
0.0748
0.0002
0.0000
tree
0.0082
0.0016
0.0947
0.8956
0.0000
0.0000
car
0.1930
0.0235
0.0169
0.0036
0.7630
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.938
0.945
0.875
0.884
0.877
--
Recall/Completeness
0.942
0.945
0.868
0.896
0.763
--
F1
0.940
0.945
0.871
0.890
0.816
--

Overall accuracy 0.912

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image