Detailled semantic labeling (2D) result


Name M. Gerke (SVL_full_noCRF)
Affiliation University of Twente, The Netherlands
Abbreviation SVL_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
0.862
0.040
0.065
0.018
0.006
0.010
building
0.025
0.923
0.010
0.037
0.001
0.004
low_veg
0.113
0.030
0.758
0.090
0.001
0.008
tree
0.114
0.078
0.313
0.484
0.003
0.008
car
0.254
0.045
0.051
0.029
0.571
0.050
clutter
0.489
0.140
0.192
0.052
0.021
0.105
Precision/Correctness
0.780
0.848
0.649
0.694
0.740
0.382
Recall/Completeness
0.862
0.923
0.758
0.484
0.571
0.105
F1
0.819
0.884
0.699
0.570
0.644
0.165

Overall accuracy 0.750

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
0.884
0.034
0.055
0.015
0.004
0.008
building
0.022
0.930
0.009
0.036
0.001
0.003
low_veg
0.103
0.024
0.781
0.085
0.001
0.006
tree
0.105
0.079
0.305
0.500
0.003
0.008
car
0.200
0.050
0.041
0.030
0.632
0.048
clutter
0.517
0.123
0.186
0.047
0.019
0.109
Precision/Correctness
0.800
0.868
0.667
0.719
0.781
0.406
Recall/Completeness
0.884
0.930
0.781
0.500
0.632
0.109
F1
0.840
0.898
0.720
0.590
0.698
0.171

Overall accuracy 0.772
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8800
0.0424
0.0461
0.0135
0.0093
0.0087
building
0.0248
0.9131
0.0233
0.0337
0.0009
0.0042
low_veg
0.1112
0.0284
0.7764
0.0649
0.0015
0.0177
tree
0.1037
0.1101
0.2938
0.4784
0.0036
0.0104
car
0.3165
0.0398
0.0468
0.0254
0.5362
0.0354
clutter
0.3139
0.1716
0.1820
0.0558
0.1363
0.1405
Precision/Correctness
0.750
0.777
0.728
0.784
0.496
0.196
Recall/Completeness
0.880
0.913
0.776
0.478
0.536
0.140
F1
0.810
0.839
0.751
0.594
0.516
0.164

Overall accuracy 0.743

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_2_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9056
0.0352
0.0352
0.0108
0.0064
0.0068
building
0.0208
0.9216
0.0219
0.0320
0.0005
0.0032
low_veg
0.1013
0.0219
0.8009
0.0574
0.0010
0.0174
tree
0.0958
0.1129
0.2821
0.4959
0.0030
0.0103
car
0.2700
0.0415
0.0433
0.0267
0.5812
0.0374
clutter
0.3065
0.1623
0.1685
0.0499
0.1598
0.1529
Precision/Correctness
0.776
0.799
0.748
0.810
0.526
0.175
Recall/Completeness
0.906
0.922
0.801
0.496
0.581
0.153
F1
0.836
0.856
0.774
0.615
0.552
0.163

Overall accuracy 0.767

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_2_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8519
0.0266
0.0750
0.0211
0.0142
0.0112
building
0.0146
0.9216
0.0171
0.0339
0.0013
0.0115
low_veg
0.1401
0.0100
0.7600
0.0815
0.0006
0.0078
tree
0.0743
0.0625
0.2706
0.5844
0.0014
0.0067
car
0.1273
0.0797
0.0331
0.0338
0.6917
0.0344
clutter
0.2500
0.3315
0.1253
0.0676
0.1164
0.1092
Precision/Correctness
0.601
0.664
0.741
0.840
0.548
0.045
Recall/Completeness
0.852
0.922
0.760
0.584
0.692
0.109
F1
0.705
0.772
0.751
0.689
0.611
0.064

Overall accuracy 0.720

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_2_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8792
0.0224
0.0603
0.0165
0.0121
0.0094
building
0.0117
0.9329
0.0147
0.0306
0.0008
0.0093
low_veg
0.1353
0.0072
0.7745
0.0755
0.0004
0.0071
tree
0.0702
0.0629
0.2605
0.5986
0.0012
0.0066
car
0.0892
0.0905
0.0254
0.0350
0.7297
0.0302
clutter
0.2253
0.3763
0.1044
0.0662
0.1251
0.1027
Precision/Correctness
0.611
0.681
0.755
0.856
0.558
0.034
Recall/Completeness
0.879
0.933
0.774
0.599
0.730
0.103
F1
0.721
0.787
0.765
0.705
0.632
0.051

Overall accuracy 0.736

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_3_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8297
0.0494
0.0744
0.0242
0.0079
0.0143
building
0.0129
0.9603
0.0056
0.0178
0.0003
0.0030
low_veg
0.1139
0.0547
0.7155
0.1041
0.0018
0.0100
tree
0.1007
0.0881
0.2608
0.5379
0.0039
0.0084
car
0.2966
0.0592
0.0687
0.0506
0.4973
0.0275
clutter
0.3646
0.1884
0.2318
0.0841
0.0376
0.0935
Precision/Correctness
0.758
0.823
0.655
0.769
0.667
0.197
Recall/Completeness
0.830
0.960
0.715
0.538
0.497
0.094
F1
0.792
0.886
0.684
0.633
0.570
0.127

Overall accuracy 0.745

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_3_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8608
0.0401
0.0609
0.0204
0.0051
0.0128
building
0.0105
0.9667
0.0043
0.0163
0.0001
0.0021
low_veg
0.1051
0.0418
0.7452
0.0983
0.0015
0.0082
tree
0.0943
0.0882
0.2503
0.5553
0.0036
0.0084
car
0.2462
0.0670
0.0604
0.0523
0.5453
0.0288
clutter
0.3844
0.1799
0.2228
0.0798
0.0415
0.0915
Precision/Correctness
0.784
0.849
0.676
0.796
0.700
0.175
Recall/Completeness
0.861
0.967
0.745
0.555
0.545
0.092
F1
0.821
0.904
0.709
0.654
0.613
0.120

Overall accuracy 0.772

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_3_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8057
0.0710
0.0741
0.0287
0.0106
0.0098
building
0.0188
0.9580
0.0041
0.0163
0.0007
0.0020
low_veg
0.0747
0.0317
0.7701
0.1160
0.0008
0.0067
tree
0.0777
0.0818
0.3497
0.4795
0.0026
0.0086
car
0.1803
0.1068
0.0335
0.0230
0.6097
0.0467
clutter
0.3667
0.3105
0.1512
0.0806
0.0342
0.0569
Precision/Correctness
0.746
0.792
0.651
0.739
0.629
0.195
Recall/Completeness
0.806
0.958
0.770
0.480
0.610
0.057
F1
0.775
0.867
0.706
0.582
0.619
0.088

Overall accuracy 0.721

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_3_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8372
0.0624
0.0623
0.0231
0.0070
0.0080
building
0.0160
0.9648
0.0029
0.0147
0.0004
0.0013
low_veg
0.0640
0.0241
0.7985
0.1078
0.0004
0.0052
tree
0.0734
0.0823
0.3441
0.4891
0.0025
0.0087
car
0.1302
0.1116
0.0290
0.0179
0.6603
0.0509
clutter
0.3862
0.3265
0.1292
0.0724
0.0338
0.0520
Precision/Correctness
0.772
0.815
0.664
0.768
0.664
0.179
Recall/Completeness
0.837
0.965
0.798
0.489
0.660
0.052
F1
0.803
0.884
0.725
0.597
0.662
0.081

Overall accuracy 0.743

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_4_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8488
0.0529
0.0548
0.0322
0.0055
0.0059
building
0.0114
0.9466
0.0070
0.0327
0.0006
0.0017
low_veg
0.1226
0.0499
0.6632
0.1562
0.0020
0.0060
tree
0.1195
0.0752
0.2257
0.5710
0.0038
0.0047
car
0.2278
0.0637
0.0455
0.0479
0.5777
0.0374
clutter
0.4612
0.1858
0.2250
0.0893
0.0099
0.0289
Precision/Correctness
0.779
0.871
0.600
0.592
0.792
0.296
Recall/Completeness
0.849
0.947
0.663
0.571
0.578
0.029
F1
0.812
0.907
0.630
0.581
0.668
0.053

Overall accuracy 0.757

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_4_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8744
0.0443
0.0459
0.0271
0.0031
0.0052
building
0.0085
0.9538
0.0054
0.0307
0.0004
0.0012
low_veg
0.1144
0.0398
0.6900
0.1490
0.0016
0.0052
tree
0.1078
0.0738
0.2188
0.5915
0.0034
0.0046
car
0.1692
0.0663
0.0339
0.0460
0.6472
0.0374
clutter
0.4909
0.1677
0.2243
0.0823
0.0089
0.0258
Precision/Correctness
0.802
0.894
0.623
0.623
0.836
0.283
Recall/Completeness
0.874
0.954
0.690
0.592
0.647
0.026
F1
0.837
0.923
0.655
0.607
0.730
0.047

Overall accuracy 0.785

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_4_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8355
0.0326
0.0926
0.0225
0.0093
0.0075
building
0.0173
0.9543
0.0046
0.0214
0.0010
0.0014
low_veg
0.1785
0.0295
0.6690
0.1144
0.0022
0.0063
tree
0.1204
0.0867
0.2835
0.5008
0.0028
0.0058
car
0.2955
0.0475
0.0466
0.0497
0.5376
0.0232
clutter
0.6311
0.0545
0.1966
0.0267
0.0060
0.0851
Precision/Correctness
0.609
0.836
0.610
0.702
0.744
0.616
Recall/Completeness
0.836
0.954
0.669
0.501
0.538
0.085
F1
0.705
0.891
0.638
0.584
0.624
0.150

Overall accuracy 0.677

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_4_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8568
0.0265
0.0847
0.0193
0.0060
0.0065
building
0.0143
0.9614
0.0033
0.0195
0.0007
0.0009
low_veg
0.1666
0.0231
0.6922
0.1107
0.0017
0.0058
tree
0.1118
0.0880
0.2740
0.5182
0.0024
0.0056
car
0.2481
0.0502
0.0358
0.0502
0.5923
0.0234
clutter
0.6509
0.0496
0.1852
0.0225
0.0051
0.0866
Precision/Correctness
0.621
0.855
0.624
0.726
0.787
0.652
Recall/Completeness
0.857
0.961
0.692
0.518
0.592
0.087
F1
0.720
0.905
0.657
0.605
0.676
0.153

Overall accuracy 0.695

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_4_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8668
0.0446
0.0610
0.0123
0.0071
0.0082
building
0.0140
0.9137
0.0079
0.0621
0.0006
0.0018
low_veg
0.1079
0.0497
0.7468
0.0877
0.0029
0.0050
tree
0.1655
0.0952
0.3204
0.3995
0.0092
0.0103
car
0.2471
0.0248
0.0555
0.0252
0.5923
0.0550
clutter
0.2761
0.2941
0.2355
0.0772
0.0465
0.0706
Precision/Correctness
0.838
0.864
0.628
0.558
0.717
0.230
Recall/Completeness
0.867
0.914
0.747
0.400
0.592
0.071
F1
0.852
0.888
0.682
0.466
0.649
0.108

Overall accuracy 0.772

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_4_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8911
0.0367
0.0508
0.0103
0.0042
0.0069
building
0.0122
0.9179
0.0069
0.0614
0.0003
0.0013
low_veg
0.0932
0.0401
0.7778
0.0830
0.0022
0.0036
tree
0.1557
0.0976
0.3101
0.4182
0.0085
0.0099
car
0.1943
0.0264
0.0425
0.0256
0.6584
0.0528
clutter
0.2635
0.3075
0.2443
0.0704
0.0454
0.0688
Precision/Correctness
0.863
0.884
0.649
0.579
0.756
0.226
Recall/Completeness
0.891
0.918
0.778
0.418
0.658
0.069
F1
0.877
0.901
0.708
0.486
0.704
0.106

Overall accuracy 0.797

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_5_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8607
0.0407
0.0636
0.0215
0.0047
0.0088
building
0.0186
0.9176
0.0129
0.0430
0.0020
0.0059
low_veg
0.0750
0.0231
0.8008
0.0956
0.0010
0.0045
tree
0.1559
0.0437
0.3561
0.4380
0.0021
0.0042
car
0.2887
0.0532
0.0255
0.0117
0.5729
0.0480
clutter
0.2188
0.3272
0.1841
0.0828
0.0397
0.1474
Precision/Correctness
0.843
0.881
0.670
0.571
0.792
0.397
Recall/Completeness
0.861
0.918
0.801
0.438
0.573
0.147
F1
0.852
0.899
0.730
0.496
0.665
0.215

Overall accuracy 0.782

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_5_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8830
0.0336
0.0554
0.0182
0.0024
0.0074
building
0.0165
0.9232
0.0112
0.0416
0.0020
0.0055
low_veg
0.0707
0.0178
0.8167
0.0910
0.0007
0.0032
tree
0.1420
0.0434
0.3522
0.4568
0.0017
0.0040
car
0.2200
0.0623
0.0190
0.0122
0.6372
0.0493
clutter
0.2064
0.3354
0.1697
0.0833
0.0413
0.1638
Precision/Correctness
0.866
0.902
0.693
0.593
0.832
0.396
Recall/Completeness
0.883
0.923
0.817
0.457
0.637
0.164
F1
0.874
0.913
0.750
0.516
0.722
0.232

Overall accuracy 0.806

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_5_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8670
0.0275
0.0683
0.0197
0.0043
0.0132
building
0.0219
0.9375
0.0084
0.0293
0.0011
0.0018
low_veg
0.1406
0.0353
0.7186
0.0951
0.0011
0.0093
tree
0.1488
0.0491
0.3267
0.4604
0.0035
0.0116
car
0.2253
0.0247
0.0570
0.0348
0.6106
0.0476
clutter
0.3678
0.1961
0.2538
0.0645
0.0123
0.1055
Precision/Correctness
0.716
0.860
0.604
0.681
0.791
0.468
Recall/Completeness
0.867
0.937
0.719
0.460
0.611
0.106
F1
0.784
0.897
0.656
0.549
0.689
0.172

Overall accuracy 0.720

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_5_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8901
0.0233
0.0570
0.0163
0.0021
0.0112
building
0.0198
0.9423
0.0073
0.0282
0.0009
0.0015
low_veg
0.1297
0.0298
0.7409
0.0913
0.0006
0.0076
tree
0.1389
0.0482
0.3245
0.4745
0.0029
0.0112
car
0.1682
0.0263
0.0452
0.0360
0.6816
0.0427
clutter
0.3790
0.1647
0.2679
0.0634
0.0114
0.1136
Precision/Correctness
0.737
0.884
0.617
0.706
0.834
0.502
Recall/Completeness
0.890
0.942
0.741
0.474
0.682
0.114
F1
0.806
0.912
0.673
0.567
0.750
0.185

Overall accuracy 0.743

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_5_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8592
0.0173
0.0783
0.0207
0.0067
0.0178
building
0.0312
0.8752
0.0183
0.0672
0.0014
0.0067
low_veg
0.1313
0.0256
0.7211
0.1126
0.0016
0.0078
tree
0.1201
0.0480
0.3247
0.4991
0.0035
0.0046
car
0.2773
0.0200
0.0505
0.0236
0.5691
0.0595
clutter
0.5702
0.1118
0.1415
0.0497
0.0120
0.1148
Precision/Correctness
0.796
0.898
0.549
0.562
0.770
0.401
Recall/Completeness
0.859
0.875
0.721
0.499
0.569
0.115
F1
0.827
0.887
0.623
0.529
0.655
0.178

Overall accuracy 0.742

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_5_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8779
0.0126
0.0699
0.0182
0.0048
0.0165
building
0.0277
0.8832
0.0167
0.0659
0.0010
0.0054
low_veg
0.1175
0.0203
0.7465
0.1083
0.0011
0.0064
tree
0.1115
0.0459
0.3184
0.5166
0.0032
0.0044
car
0.2172
0.0219
0.0402
0.0256
0.6379
0.0572
clutter
0.6119
0.0747
0.1380
0.0476
0.0102
0.1175
Precision/Correctness
0.814
0.924
0.564
0.584
0.801
0.419
Recall/Completeness
0.878
0.883
0.746
0.517
0.638
0.117
F1
0.845
0.903
0.643
0.548
0.710
0.184

Overall accuracy 0.764

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_6_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8936
0.0446
0.0469
0.0082
0.0023
0.0045
building
0.0328
0.9124
0.0124
0.0395
0.0003
0.0026
low_veg
0.0551
0.0234
0.8887
0.0316
0.0003
0.0010
tree
0.2155
0.0731
0.4065
0.2949
0.0018
0.0082
car
0.2600
0.0919
0.0322
0.0159
0.4849
0.1151
clutter
0.5708
0.0577
0.2382
0.0365
0.0230
0.0738
Precision/Correctness
0.846
0.868
0.739
0.626
0.780
0.234
Recall/Completeness
0.894
0.912
0.889
0.295
0.485
0.074
F1
0.869
0.890
0.807
0.401
0.598
0.112

Overall accuracy 0.804

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_6_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9115
0.0392
0.0381
0.0064
0.0013
0.0036
building
0.0301
0.9175
0.0108
0.0393
0.0002
0.0021
low_veg
0.0474
0.0182
0.9053
0.0283
0.0002
0.0006
tree
0.1997
0.0747
0.4062
0.3095
0.0015
0.0085
car
0.2008
0.1085
0.0261
0.0161
0.5378
0.1107
clutter
0.6125
0.0466
0.2200
0.0316
0.0186
0.0707
Precision/Correctness
0.862
0.885
0.757
0.647
0.832
0.238
Recall/Completeness
0.911
0.918
0.905
0.309
0.538
0.071
F1
0.886
0.901
0.825
0.419
0.653
0.109

Overall accuracy 0.823

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_6_14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8888
0.0230
0.0635
0.0109
0.0054
0.0084
building
0.0585
0.9047
0.0094
0.0176
0.0020
0.0077
low_veg
0.1209
0.0268
0.7832
0.0629
0.0013
0.0048
tree
0.1631
0.0826
0.3349
0.4092
0.0048
0.0053
car
0.2712
0.0332
0.0631
0.0231
0.5537
0.0558
clutter
0.4426
0.2065
0.2041
0.0451
0.0239
0.0777
Precision/Correctness
0.831
0.910
0.646
0.649
0.817
0.173
Recall/Completeness
0.889
0.905
0.783
0.409
0.554
0.078
F1
0.859
0.908
0.708
0.502
0.660
0.107

Overall accuracy 0.802

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_6_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9088
0.0177
0.0552
0.0093
0.0023
0.0067
building
0.0559
0.9114
0.0076
0.0165
0.0016
0.0069
low_veg
0.1071
0.0200
0.8113
0.0578
0.0007
0.0032
tree
0.1545
0.0848
0.3289
0.4222
0.0043
0.0053
car
0.2159
0.0385
0.0544
0.0247
0.6134
0.0530
clutter
0.4551
0.2191
0.1958
0.0377
0.0230
0.0693
Precision/Correctness
0.850
0.924
0.666
0.679
0.865
0.169
Recall/Completeness
0.909
0.911
0.811
0.422
0.613
0.069
F1
0.879
0.918
0.731
0.521
0.718
0.098

Overall accuracy 0.824

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_6_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8679
0.0158
0.0799
0.0182
0.0062
0.0120
building
0.0221
0.8829
0.0138
0.0780
0.0010
0.0021
low_veg
0.0931
0.0142
0.7944
0.0893
0.0015
0.0075
tree
0.0620
0.0840
0.4005
0.4382
0.0043
0.0110
car
0.1712
0.0268
0.0542
0.0237
0.6538
0.0703
clutter
0.4964
0.0184
0.2459
0.0613
0.0228
0.1552
Precision/Correctness
0.838
0.899
0.513
0.616
0.805
0.482
Recall/Completeness
0.868
0.883
0.794
0.438
0.654
0.155
F1
0.853
0.891
0.623
0.512
0.722
0.235

Overall accuracy 0.745

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_6_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8930
0.0120
0.0673
0.0158
0.0025
0.0095
building
0.0179
0.8911
0.0111
0.0776
0.0008
0.0015
low_veg
0.0824
0.0102
0.8158
0.0851
0.0007
0.0057
tree
0.0549
0.0866
0.3903
0.4538
0.0037
0.0107
car
0.1222
0.0312
0.0397
0.0242
0.7213
0.0613
clutter
0.5090
0.0156
0.2384
0.0583
0.0206
0.1580
Precision/Correctness
0.854
0.911
0.523
0.634
0.854
0.542
Recall/Completeness
0.893
0.891
0.816
0.454
0.721
0.158
F1
0.873
0.901
0.638
0.529
0.782
0.245

Overall accuracy 0.766

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_7_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8622
0.0726
0.0484
0.0083
0.0019
0.0067
building
0.0389
0.9287
0.0082
0.0183
0.0017
0.0043
low_veg
0.0837
0.0509
0.7748
0.0875
0.0006
0.0026
tree
0.1072
0.1168
0.3455
0.4242
0.0014
0.0049
car
0.3258
0.0487
0.0833
0.0263
0.4835
0.0323
clutter
0.6693
0.0559
0.1011
0.0055
0.0035
0.1647
Precision/Correctness
0.826
0.788
0.554
0.649
0.786
0.735
Recall/Completeness
0.862
0.929
0.775
0.424
0.484
0.165
F1
0.843
0.853
0.646
0.513
0.599
0.269

Overall accuracy 0.766

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_7_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8757
0.0689
0.0415
0.0065
0.0009
0.0063
building
0.0367
0.9330
0.0072
0.0175
0.0016
0.0039
low_veg
0.0719
0.0468
0.7929
0.0862
0.0004
0.0018
tree
0.0888
0.1197
0.3367
0.4489
0.0012
0.0047
car
0.2698
0.0553
0.0730
0.0305
0.5384
0.0330
clutter
0.6721
0.0535
0.0994
0.0052
0.0028
0.1669
Precision/Correctness
0.835
0.800
0.572
0.667
0.823
0.757
Recall/Completeness
0.876
0.933
0.793
0.449
0.538
0.167
F1
0.855
0.862
0.665
0.537
0.651
0.273

Overall accuracy 0.781

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image