Detailled semantic labeling (2D) result


Name M. Gerke (SVL_noextra_features)
Affiliation University of Twente, The Netherlands
Abbreviation SVL_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
0.859
0.051
0.052
0.032
0.007
0.000
building
0.187
0.752
0.048
0.010
0.002
0.000
low_veg
0.077
0.041
0.665
0.216
0.001
0.000
tree
0.033
0.007
0.142
0.817
0.000
0.000
car
0.530
0.043
0.020
0.010
0.396
0.001
clutter
0.556
0.354
0.013
0.015
0.056
0.005
Precision/Correctness
0.738
0.874
0.707
0.761
0.617
0.272
Recall/Completeness
0.859
0.752
0.665
0.817
0.396
0.005
F1
0.794
0.808
0.685
0.788
0.483
0.010

Overall accuracy 0.767

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
0.891
0.043
0.041
0.021
0.004
0.000
building
0.181
0.770
0.041
0.005
0.002
0.000
low_veg
0.066
0.035
0.692
0.206
0.001
0.000
tree
0.023
0.004
0.127
0.846
0.000
0.000
car
0.491
0.048
0.018
0.007
0.435
0.001
clutter
0.551
0.365
0.012
0.008
0.058
0.006
Precision/Correctness
0.762
0.896
0.741
0.789
0.644
0.319
Recall/Completeness
0.891
0.770
0.692
0.846
0.435
0.006
F1
0.821
0.828
0.716
0.816
0.519
0.012

Overall accuracy 0.794
=============================================================

Tile top_mosaic_09cm_area2_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8975
0.0160
0.0503
0.0291
0.0071
0.0000
building
0.2160
0.7308
0.0419
0.0073
0.0039
0.0000
low_veg
0.1196
0.0394
0.7147
0.1260
0.0003
0.0000
tree
0.0428
0.0048
0.1814
0.7707
0.0002
0.0001
car
0.6310
0.0043
0.0034
0.0093
0.3520
0.0000
clutter
0.9280
0.0000
0.0000
0.0552
0.0000
0.0168
Precision/Correctness
0.659
0.918
0.723
0.823
0.663
0.909
Recall/Completeness
0.897
0.731
0.715
0.771
0.352
0.017
F1
0.760
0.814
0.719
0.796
0.460
0.033

Overall accuracy 0.759

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
0.9320
0.0113
0.0352
0.0172
0.0042
0.0000
building
0.2100
0.7514
0.0315
0.0031
0.0040
0.0000
low_veg
0.1042
0.0346
0.7426
0.1184
0.0001
0.0000
tree
0.0303
0.0031
0.1700
0.7965
0.0001
0.0000
car
0.5933
0.0045
0.0012
0.0070
0.3941
0.0000
clutter
0.9534
0.0000
0.0000
0.0302
0.0000
0.0164
Precision/Correctness
0.680
0.937
0.752
0.854
0.698
0.962
Recall/Completeness
0.932
0.751
0.743
0.796
0.394
0.016
F1
0.786
0.834
0.748
0.824
0.504
0.032

Overall accuracy 0.786

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
0.8181
0.1670
0.0046
0.0058
0.0045
0.0000
building
0.0838
0.9049
0.0059
0.0043
0.0011
0.0001
low_veg
0.3866
0.0923
0.3431
0.1780
0.0000
0.0000
tree
0.1279
0.0220
0.1294
0.7204
0.0003
0.0000
car
0.6686
0.0328
0.0000
0.0042
0.2944
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.749
0.903
0.585
0.741
0.686
--
Recall/Completeness
0.818
0.905
0.343
0.720
0.294
--
F1
0.782
0.904
0.433
0.730
0.412
--

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_area4_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8501
0.1410
0.0031
0.0029
0.0028
0.0000
building
0.0732
0.9183
0.0047
0.0025
0.0012
0.0001
low_veg
0.3663
0.0669
0.3791
0.1877
0.0000
0.0000
tree
0.0975
0.0140
0.1334
0.7551
0.0000
0.0000
car
0.6483
0.0260
0.0000
0.0025
0.3232
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.777
0.925
0.605
0.782
0.705
--
Recall/Completeness
0.850
0.918
0.379
0.755
0.323
--
F1
0.812
0.922
0.466
0.768
0.443
--

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_area6_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8492
0.0706
0.0459
0.0263
0.0075
0.0005
building
0.1662
0.7821
0.0372
0.0119
0.0025
0.0000
low_veg
0.1093
0.0275
0.5941
0.2677
0.0014
0.0000
tree
0.0240
0.0044
0.0670
0.9039
0.0004
0.0002
car
0.5296
0.0376
0.0160
0.0027
0.4141
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.725
0.919
0.592
0.869
0.692
--
Recall/Completeness
0.849
0.782
0.594
0.904
0.414
--
F1
0.782
0.845
0.593
0.886
0.518
--

Overall accuracy 0.808

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area6_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8866
0.0564
0.0368
0.0153
0.0044
0.0004
building
0.1591
0.8000
0.0304
0.0080
0.0025
0.0000
low_veg
0.0944
0.0186
0.6340
0.2524
0.0007
0.0000
tree
0.0137
0.0024
0.0564
0.9271
0.0002
0.0002
car
0.4857
0.0387
0.0156
0.0003
0.4597
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.750
0.941
0.628
0.898
0.732
--
Recall/Completeness
0.887
0.800
0.634
0.927
0.460
--
F1
0.812
0.865
0.631
0.913
0.565
--

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_area8_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8666
0.0283
0.0590
0.0367
0.0087
0.0008
building
0.1980
0.7739
0.0159
0.0104
0.0018
0.0000
low_veg
0.0998
0.0256
0.7493
0.1241
0.0012
0.0000
tree
0.0327
0.0081
0.0942
0.8644
0.0003
0.0003
car
0.4723
0.0151
0.0395
0.0097
0.4633
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.770
0.917
0.765
0.843
0.693
--
Recall/Completeness
0.867
0.774
0.749
0.864
0.463
--
F1
0.815
0.840
0.757
0.854
0.555
--

Overall accuracy 0.815

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
0.8996
0.0216
0.0493
0.0236
0.0052
0.0007
building
0.1924
0.7905
0.0095
0.0061
0.0015
0.0000
low_veg
0.0870
0.0169
0.7846
0.1109
0.0006
0.0000
tree
0.0198
0.0050
0.0816
0.8933
0.0002
0.0002
car
0.4325
0.0160
0.0382
0.0087
0.5047
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.793
0.943
0.801
0.876
0.751
--
Recall/Completeness
0.900
0.790
0.785
0.893
0.505
--
F1
0.843
0.860
0.793
0.884
0.604
--

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_area10_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8357
0.0752
0.0510
0.0339
0.0036
0.0005
building
0.0732
0.8664
0.0412
0.0165
0.0025
0.0002
low_veg
0.0732
0.0619
0.6669
0.1974
0.0005
0.0001
tree
0.0295
0.0074
0.1737
0.7889
0.0003
0.0001
car
0.5549
0.0322
0.0044
0.0055
0.4031
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.886
0.834
0.645
0.759
0.574
--
Recall/Completeness
0.836
0.866
0.667
0.789
0.403
--
F1
0.860
0.850
0.656
0.774
0.474
--

Overall accuracy 0.801

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
0.8714
0.0628
0.0406
0.0222
0.0025
0.0005
building
0.0666
0.8874
0.0326
0.0111
0.0021
0.0002
low_veg
0.0673
0.0560
0.6981
0.1780
0.0005
0.0001
tree
0.0201
0.0044
0.1503
0.8250
0.0001
0.0001
car
0.5276
0.0369
0.0007
0.0036
0.4311
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.907
0.861
0.688
0.800
0.590
--
Recall/Completeness
0.871
0.887
0.698
0.825
0.431
--
F1
0.889
0.874
0.693
0.812
0.498
--

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_area12_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8376
0.0283
0.0663
0.0651
0.0027
0.0000
building
0.1995
0.7536
0.0265
0.0185
0.0018
0.0000
low_veg
0.0367
0.0417
0.5908
0.3292
0.0015
0.0000
tree
0.0132
0.0078
0.1021
0.8768
0.0001
0.0000
car
0.4926
0.0506
0.0298
0.0178
0.4081
0.0011
clutter
--
--
--
--
--
--
Precision/Correctness
0.680
0.882
0.766
0.750
0.631
--
Recall/Completeness
0.838
0.754
0.591
0.877
0.408
--
F1
0.750
0.813
0.667
0.808
0.496
--

Overall accuracy 0.762

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
0.8700
0.0249
0.0558
0.0483
0.0010
0.0000
building
0.2057
0.7645
0.0178
0.0102
0.0018
0.0000
low_veg
0.0340
0.0329
0.6214
0.3101
0.0015
0.0000
tree
0.0083
0.0047
0.0896
0.8973
0.0000
0.0000
car
0.4282
0.0751
0.0271
0.0104
0.4585
0.0007
clutter
--
--
--
--
--
--
Precision/Correctness
0.696
0.909
0.797
0.775
0.651
--
Recall/Completeness
0.870
0.765
0.621
0.897
0.459
--
F1
0.773
0.830
0.698
0.832
0.538
--

Overall accuracy 0.787

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
0.8458
0.0402
0.0473
0.0640
0.0027
0.0000
building
0.1621
0.7552
0.0649
0.0128
0.0049
0.0000
low_veg
0.0905
0.0525
0.6496
0.2045
0.0030
0.0000
tree
0.0347
0.0105
0.1321
0.8222
0.0005
0.0001
car
0.3510
0.0017
0.0185
0.0043
0.6245
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.752
0.836
0.713
0.800
0.410
--
Recall/Completeness
0.846
0.755
0.650
0.822
0.625
--
F1
0.796
0.793
0.680
0.811
0.495
--

Overall accuracy 0.771

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
0.8723
0.0361
0.0395
0.0505
0.0016
0.0000
building
0.1574
0.7794
0.0517
0.0071
0.0044
0.0000
low_veg
0.0841
0.0427
0.6765
0.1939
0.0028
0.0000
tree
0.0263
0.0072
0.1218
0.8445
0.0002
0.0000
car
0.2909
0.0022
0.0133
0.0006
0.6930
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.779
0.863
0.739
0.823
0.416
--
Recall/Completeness
0.872
0.779
0.676
0.844
0.693
--
F1
0.823
0.819
0.706
0.834
0.520
--

Overall accuracy 0.797

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
0.7779
0.0416
0.0792
0.0971
0.0040
0.0001
building
0.1508
0.7538
0.0706
0.0225
0.0023
0.0000
low_veg
0.0165
0.0216
0.5799
0.3814
0.0006
0.0001
tree
0.0288
0.0082
0.1015
0.8612
0.0001
0.0001
car
0.2108
0.0000
0.0664
0.0004
0.6840
0.0384
clutter
--
--
--
--
--
--
Precision/Correctness
0.738
0.894
0.734
0.705
0.556
--
Recall/Completeness
0.778
0.754
0.580
0.861
0.684
--
F1
0.757
0.818
0.648
0.775
0.613
--

Overall accuracy 0.745

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
0.8179
0.0383
0.0687
0.0730
0.0019
0.0001
building
0.1486
0.7745
0.0619
0.0127
0.0023
0.0000
low_veg
0.0130
0.0174
0.5947
0.3745
0.0004
0.0000
tree
0.0219
0.0055
0.0928
0.8797
0.0001
0.0001
car
0.1540
0.0000
0.0590
0.0000
0.7406
0.0464
clutter
--
--
--
--
--
--
Precision/Correctness
0.761
0.915
0.760
0.722
0.581
--
Recall/Completeness
0.818
0.775
0.595
0.880
0.741
--
F1
0.788
0.839
0.667
0.793
0.651
--

Overall accuracy 0.766

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
0.7954
0.0536
0.0840
0.0637
0.0032
0.0000
building
0.0566
0.8580
0.0697
0.0154
0.0002
0.0000
low_veg
0.0424
0.0448
0.5694
0.3427
0.0007
0.0000
tree
0.0111
0.0032
0.0582
0.9275
0.0000
0.0000
car
0.4830
0.0001
0.0045
0.0283
0.4841
0.0000
clutter
0.0008
0.9900
0.0023
0.0069
0.0000
0.0000
Precision/Correctness
0.869
0.747
0.678
0.823
0.711
0.000
Recall/Completeness
0.795
0.858
0.569
0.927
0.484
0.000
F1
0.831
0.799
0.619
0.872
0.576
-nan

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_area20_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8289
0.0452
0.0803
0.0432
0.0023
0.0000
building
0.0539
0.8749
0.0633
0.0076
0.0002
0.0000
low_veg
0.0368
0.0357
0.6054
0.3216
0.0006
0.0000
tree
0.0067
0.0017
0.0486
0.9430
0.0000
0.0000
car
0.4254
0.0000
0.0001
0.0183
0.5562
0.0000
clutter
0.0001
0.9976
0.0006
0.0018
0.0000
0.0000
Precision/Correctness
0.894
0.766
0.704
0.850
0.732
0.000
Recall/Completeness
0.829
0.875
0.605
0.943
0.556
0.000
F1
0.860
0.817
0.651
0.894
0.632
-nan

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_area22_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8748
0.0247
0.0328
0.0593
0.0084
0.0000
building
0.1462
0.8054
0.0267
0.0199
0.0019
0.0000
low_veg
0.0942
0.0494
0.6162
0.2397
0.0004
0.0000
tree
0.0346
0.0031
0.0925
0.8694
0.0003
0.0000
car
0.5837
0.0010
0.0000
0.0452
0.3700
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.820
0.884
0.748
0.778
0.560
--
Recall/Completeness
0.875
0.805
0.616
0.869
0.370
--
F1
0.846
0.843
0.676
0.821
0.445
--

Overall accuracy 0.803

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
0.9075
0.0199
0.0264
0.0397
0.0064
0.0000
building
0.1379
0.8307
0.0172
0.0126
0.0016
0.0000
low_veg
0.0897
0.0414
0.6546
0.2141
0.0002
0.0000
tree
0.0217
0.0013
0.0788
0.8980
0.0002
0.0000
car
0.5561
0.0001
0.0000
0.0340
0.4098
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.847
0.910
0.789
0.818
0.574
--
Recall/Completeness
0.908
0.831
0.655
0.898
0.410
--
F1
0.876
0.869
0.715
0.856
0.478
--

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: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.7752
0.0697
0.0895
0.0604
0.0052
0.0000
building
0.1491
0.7824
0.0552
0.0115
0.0010
0.0009
low_veg
0.0381
0.0173
0.7856
0.1578
0.0011
0.0000
tree
0.0191
0.0113
0.1566
0.8129
0.0000
0.0000
car
0.3834
0.0021
0.0041
0.0026
0.6078
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.693
0.880
0.836
0.731
0.620
--
Recall/Completeness
0.775
0.782
0.786
0.813
0.608
--
F1
0.732
0.828
0.810
0.770
0.614
--

Overall accuracy 0.790

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
0.8073
0.0627
0.0796
0.0476
0.0028
0.0000
building
0.1447
0.7980
0.0485
0.0070
0.0008
0.0010
low_veg
0.0343
0.0130
0.8058
0.1458
0.0011
0.0000
tree
0.0135
0.0085
0.1389
0.8390
0.0000
0.0000
car
0.3256
0.0032
0.0011
0.0005
0.6696
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.714
0.902
0.859
0.752
0.641
--
Recall/Completeness
0.807
0.798
0.806
0.839
0.670
--
F1
0.758
0.847
0.831
0.793
0.655
--

Overall accuracy 0.812

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
0.8879
0.0477
0.0362
0.0072
0.0204
0.0006
building
0.2620
0.6915
0.0360
0.0055
0.0047
0.0003
low_veg
0.1459
0.0456
0.6763
0.1315
0.0006
0.0002
tree
0.0430
0.0036
0.2928
0.6603
0.0003
0.0000
car
0.4640
0.0352
0.0073
0.0050
0.4882
0.0003
clutter
0.5764
0.3627
0.0609
0.0000
0.0000
0.0000
Precision/Correctness
0.668
0.901
0.711
0.687
0.656
0.000
Recall/Completeness
0.888
0.692
0.676
0.660
0.488
0.000
F1
0.762
0.782
0.693
0.674
0.560
-nan

Overall accuracy 0.740

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
0.9174
0.0389
0.0275
0.0039
0.0117
0.0006
building
0.2524
0.7101
0.0296
0.0030
0.0046
0.0002
low_veg
0.1267
0.0379
0.7092
0.1260
0.0002
0.0001
tree
0.0312
0.0019
0.2764
0.6904
0.0001
0.0000
car
0.4281
0.0368
0.0065
0.0036
0.5247
0.0002
clutter
0.5868
0.3593
0.0538
0.0000
0.0000
0.0000
Precision/Correctness
0.691
0.924
0.741
0.720
0.702
0.000
Recall/Completeness
0.917
0.710
0.709
0.690
0.525
0.000
F1
0.788
0.803
0.725
0.705
0.601
-nan

Overall accuracy 0.768

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
0.9049
0.0423
0.0299
0.0193
0.0036
0.0000
building
0.0815
0.8941
0.0157
0.0084
0.0001
0.0001
low_veg
0.0899
0.0450
0.5699
0.2951
0.0001
0.0000
tree
0.0301
0.0036
0.0949
0.8714
0.0000
0.0000
car
0.6086
0.0106
0.0018
0.0155
0.3636
0.0000
clutter
0.4960
0.4424
0.0255
0.0086
0.0274
0.0000
Precision/Correctness
0.862
0.864
0.750
0.636
0.670
0.000
Recall/Completeness
0.905
0.894
0.570
0.871
0.364
0.000
F1
0.883
0.879
0.648
0.735
0.471
-nan

Overall accuracy 0.814

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
0.9287
0.0348
0.0221
0.0122
0.0023
0.0000
building
0.0751
0.9090
0.0109
0.0049
0.0001
0.0001
low_veg
0.0711
0.0318
0.6054
0.2917
0.0000
0.0000
tree
0.0210
0.0021
0.0845
0.8924
0.0000
0.0000
car
0.5687
0.0078
0.0003
0.0118
0.4114
0.0000
clutter
0.4779
0.4652
0.0220
0.0050
0.0300
0.0000
Precision/Correctness
0.886
0.888
0.789
0.670
0.698
0.000
Recall/Completeness
0.929
0.909
0.605
0.892
0.411
0.000
F1
0.907
0.898
0.685
0.765
0.518
-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_area31_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9265
0.0403
0.0127
0.0101
0.0104
0.0000
building
0.3425
0.6426
0.0063
0.0040
0.0042
0.0005
low_veg
0.0791
0.0056
0.8396
0.0745
0.0012
0.0000
tree
0.0671
0.0083
0.0825
0.8410
0.0011
0.0000
car
0.4756
0.1228
0.0213
0.0121
0.3653
0.0030
clutter
0.7065
0.1881
0.0326
0.0163
0.0448
0.0118
Precision/Correctness
0.699
0.863
0.875
0.848
0.652
0.622
Recall/Completeness
0.926
0.643
0.840
0.841
0.365
0.012
F1
0.797
0.737
0.857
0.845
0.468
0.023

Overall accuracy 0.774

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
0.9420
0.0376
0.0093
0.0049
0.0062
0.0000
building
0.3369
0.6561
0.0022
0.0009
0.0035
0.0005
low_veg
0.0579
0.0034
0.8722
0.0661
0.0004
0.0000
tree
0.0424
0.0063
0.0710
0.8796
0.0006
0.0000
car
0.4347
0.1399
0.0177
0.0088
0.3958
0.0032
clutter
0.7072
0.1910
0.0333
0.0086
0.0456
0.0143
Precision/Correctness
0.717
0.881
0.906
0.884
0.698
0.646
Recall/Completeness
0.942
0.656
0.872
0.880
0.396
0.014
F1
0.814
0.752
0.889
0.882
0.505
0.028

Overall accuracy 0.798

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
0.9086
0.0731
0.0099
0.0049
0.0033
0.0001
building
0.2468
0.6299
0.1148
0.0060
0.0021
0.0004
low_veg
0.1452
0.0805
0.3114
0.4618
0.0010
0.0000
tree
0.0789
0.0232
0.2106
0.6871
0.0001
0.0002
car
0.5595
0.1129
0.0046
0.0014
0.3216
0.0000
clutter
0.5626
0.2857
0.0007
0.0000
0.1505
0.0005
Precision/Correctness
0.715
0.753
0.447
0.491
0.288
0.128
Recall/Completeness
0.909
0.630
0.311
0.687
0.322
0.000
F1
0.800
0.686
0.367
0.572
0.304
0.001

Overall accuracy 0.656

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
0.9233
0.0669
0.0056
0.0025
0.0016
0.0000
building
0.2368
0.6404
0.1168
0.0036
0.0020
0.0003
low_veg
0.1109
0.0710
0.3170
0.5003
0.0008
0.0000
tree
0.0547
0.0178
0.2043
0.7231
0.0000
0.0000
car
0.5065
0.1153
0.0025
0.0002
0.3755
0.0000
clutter
0.5548
0.2834
0.0001
0.0000
0.1611
0.0005
Precision/Correctness
0.738
0.782
0.451
0.488
0.283
0.201
Recall/Completeness
0.923
0.640
0.317
0.723
0.376
0.001
F1
0.820
0.704
0.372
0.583
0.323
0.001

Overall accuracy 0.674

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
0.8095
0.0217
0.1296
0.0367
0.0024
0.0001
building
0.4060
0.5296
0.0531
0.0078
0.0033
0.0001
low_veg
0.0698
0.0114
0.6995
0.2189
0.0003
0.0000
tree
0.0563
0.0041
0.2757
0.6635
0.0001
0.0003
car
0.6187
0.0000
0.0136
0.0171
0.3505
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.586
0.939
0.609
0.703
0.627
--
Recall/Completeness
0.809
0.530
0.700
0.663
0.351
--
F1
0.680
0.677
0.651
0.683
0.450
--

Overall accuracy 0.671

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
0.8642
0.0177
0.0958
0.0210
0.0011
0.0001
building
0.4060
0.5529
0.0348
0.0032
0.0032
0.0000
low_veg
0.0570
0.0074
0.7187
0.2166
0.0003
0.0000
tree
0.0408
0.0027
0.2524
0.7039
0.0000
0.0002
car
0.5785
0.0000
0.0132
0.0114
0.3969
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.601
0.958
0.659
0.731
0.653
--
Recall/Completeness
0.864
0.553
0.719
0.704
0.397
--
F1
0.709
0.701
0.687
0.717
0.494
--

Overall accuracy 0.703

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
0.8265
0.0369
0.1065
0.0262
0.0038
0.0000
building
0.1785
0.6712
0.1402
0.0091
0.0010
0.0000
low_veg
0.0472
0.0700
0.7320
0.1506
0.0003
0.0000
tree
0.0361
0.0042
0.2504
0.7092
0.0001
0.0000
car
0.5695
0.0390
0.1067
0.0090
0.2754
0.0004
clutter
--
--
--
--
--
--
Precision/Correctness
0.758
0.847
0.643
0.728
0.658
--
Recall/Completeness
0.826
0.671
0.732
0.709
0.275
--
F1
0.791
0.749
0.684
0.719
0.388
--

Overall accuracy 0.733

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
0.8662
0.0335
0.0819
0.0157
0.0027
0.0000
building
0.1752
0.6937
0.1253
0.0048
0.0010
0.0000
low_veg
0.0365
0.0706
0.7514
0.1414
0.0001
0.0000
tree
0.0244
0.0027
0.2266
0.7462
0.0000
0.0000
car
0.5338
0.0438
0.1044
0.0071
0.3106
0.0003
clutter
--
--
--
--
--
--
Precision/Correctness
0.782
0.862
0.678
0.760
0.687
--
Recall/Completeness
0.866
0.694
0.751
0.746
0.311
--
F1
0.822
0.769
0.713
0.753
0.428
--

Overall accuracy 0.763

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image