Detailled semantic labeling (2D) result


Name M. Gerke (SVL_full)
Affiliation University of Twente, The Netherlands
Abbreviation SVL_1
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
0.849
0.028
0.074
0.025
0.005
0.018
building
0.032
0.906
0.014
0.037
0.000
0.011
low_veg
0.100
0.021
0.757
0.109
0.000
0.013
tree
0.119
0.035
0.283
0.550
0.001
0.012
car
0.346
0.017
0.042
0.027
0.452
0.117
clutter
0.448
0.105
0.205
0.041
0.006
0.194
Precision/Correctness
0.778
0.900
0.651
0.690
0.796
0.367
Recall/Completeness
0.849
0.906
0.757
0.550
0.452
0.194
F1
0.812
0.903
0.700
0.612
0.576
0.254

Overall accuracy 0.754

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
0.873
0.023
0.065
0.021
0.002
0.015
building
0.028
0.915
0.011
0.035
0.000
0.010
low_veg
0.088
0.015
0.783
0.102
0.000
0.011
tree
0.111
0.035
0.275
0.566
0.001
0.012
car
0.309
0.019
0.039
0.024
0.489
0.120
clutter
0.467
0.089
0.197
0.035
0.006
0.205
Precision/Correctness
0.799
0.918
0.670
0.715
0.855
0.394
Recall/Completeness
0.873
0.915
0.783
0.566
0.489
0.205
F1
0.835
0.917
0.722
0.632
0.622
0.270

Overall accuracy 0.778
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8780
0.0293
0.0515
0.0179
0.0055
0.0178
building
0.0462
0.8692
0.0358
0.0356
0.0002
0.0130
low_veg
0.1040
0.0194
0.7556
0.0844
0.0004
0.0362
tree
0.1108
0.0609
0.2941
0.5187
0.0020
0.0135
car
0.4256
0.0093
0.0402
0.0144
0.4529
0.0577
clutter
0.3544
0.1073
0.1896
0.0431
0.0984
0.2073
Precision/Correctness
0.736
0.845
0.714
0.762
0.578
0.156
Recall/Completeness
0.878
0.869
0.756
0.519
0.453
0.207
F1
0.801
0.857
0.734
0.617
0.508
0.178

Overall accuracy 0.737

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
0.9039
0.0242
0.0410
0.0139
0.0026
0.0145
building
0.0397
0.8822
0.0331
0.0339
0.0001
0.0110
low_veg
0.0929
0.0141
0.7805
0.0762
0.0002
0.0361
tree
0.1038
0.0619
0.2814
0.5380
0.0017
0.0131
car
0.3963
0.0088
0.0391
0.0131
0.4813
0.0615
clutter
0.3506
0.0976
0.1761
0.0330
0.1187
0.2240
Precision/Correctness
0.763
0.866
0.736
0.789
0.619
0.136
Recall/Completeness
0.904
0.882
0.780
0.538
0.481
0.224
F1
0.828
0.874
0.757
0.640
0.541
0.170

Overall accuracy 0.763

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
0.8230
0.0079
0.0928
0.0430
0.0099
0.0234
building
0.0188
0.8731
0.0437
0.0247
0.0000
0.0397
low_veg
0.0846
0.0056
0.7943
0.1054
0.0002
0.0098
tree
0.0643
0.0216
0.2116
0.6910
0.0006
0.0108
car
0.1492
0.0060
0.0155
0.0166
0.6350
0.1777
clutter
0.1897
0.2412
0.1819
0.0673
0.0091
0.3109
Precision/Correctness
0.676
0.833
0.779
0.825
0.672
0.068
Recall/Completeness
0.823
0.873
0.794
0.691
0.635
0.311
F1
0.742
0.852
0.786
0.752
0.653
0.111

Overall accuracy 0.765

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
0.8566
0.0050
0.0748
0.0358
0.0073
0.0205
building
0.0142
0.8903
0.0387
0.0218
0.0000
0.0350
low_veg
0.0792
0.0036
0.8126
0.0960
0.0001
0.0085
tree
0.0608
0.0215
0.2019
0.7048
0.0005
0.0105
car
0.1164
0.0055
0.0133
0.0120
0.6650
0.1877
clutter
0.1340
0.2718
0.1621
0.0692
0.0091
0.3539
Precision/Correctness
0.692
0.853
0.795
0.844
0.704
0.062
Recall/Completeness
0.857
0.890
0.813
0.705
0.665
0.354
F1
0.766
0.871
0.804
0.768
0.684
0.105

Overall accuracy 0.784

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
0.8119
0.0333
0.0786
0.0451
0.0065
0.0246
building
0.0230
0.9417
0.0074
0.0153
0.0000
0.0126
low_veg
0.1057
0.0443
0.7081
0.1228
0.0004
0.0187
tree
0.1000
0.0328
0.2020
0.6537
0.0019
0.0097
car
0.4052
0.0255
0.0566
0.0617
0.4045
0.0465
clutter
0.3828
0.1331
0.2758
0.0489
0.0131
0.1463
Precision/Correctness
0.747
0.886
0.683
0.768
0.738
0.173
Recall/Completeness
0.812
0.942
0.708
0.654
0.405
0.146
F1
0.778
0.913
0.695
0.706
0.523
0.158

Overall accuracy 0.761

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
0.8432
0.0261
0.0669
0.0386
0.0032
0.0220
building
0.0191
0.9510
0.0053
0.0138
0.0000
0.0108
low_veg
0.0951
0.0330
0.7428
0.1131
0.0002
0.0159
tree
0.0940
0.0318
0.1914
0.6718
0.0015
0.0094
car
0.3781
0.0290
0.0544
0.0562
0.4338
0.0484
clutter
0.3987
0.1275
0.2727
0.0369
0.0153
0.1489
Precision/Correctness
0.775
0.911
0.708
0.798
0.800
0.157
Recall/Completeness
0.843
0.951
0.743
0.672
0.434
0.149
F1
0.808
0.930
0.725
0.730
0.563
0.153

Overall accuracy 0.790

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
0.7886
0.0433
0.0980
0.0430
0.0081
0.0191
building
0.0233
0.9382
0.0079
0.0205
0.0000
0.0101
low_veg
0.0672
0.0202
0.7718
0.1332
0.0001
0.0075
tree
0.0760
0.0543
0.3272
0.5284
0.0009
0.0133
car
0.2440
0.0792
0.0305
0.0339
0.5251
0.0872
clutter
0.3737
0.2497
0.1878
0.0682
0.0132
0.1074
Precision/Correctness
0.744
0.848
0.650
0.723
0.726
0.204
Recall/Completeness
0.789
0.938
0.772
0.528
0.525
0.107
F1
0.765
0.891
0.705
0.611
0.609
0.141

Overall accuracy 0.726

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
0.8231
0.0362
0.0839
0.0359
0.0046
0.0163
building
0.0199
0.9483
0.0046
0.0190
0.0000
0.0081
low_veg
0.0571
0.0140
0.7995
0.1240
0.0000
0.0053
tree
0.0717
0.0544
0.3214
0.5385
0.0009
0.0131
car
0.2087
0.0827
0.0285
0.0283
0.5653
0.0864
clutter
0.3917
0.2685
0.1639
0.0597
0.0145
0.1018
Precision/Correctness
0.770
0.868
0.665
0.752
0.775
0.192
Recall/Completeness
0.823
0.948
0.800
0.539
0.565
0.102
F1
0.796
0.906
0.726
0.628
0.654
0.133

Overall accuracy 0.750

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
0.8490
0.0339
0.0482
0.0539
0.0046
0.0104
building
0.0222
0.9285
0.0094
0.0366
0.0000
0.0033
low_veg
0.1229
0.0312
0.6093
0.2237
0.0004
0.0125
tree
0.1353
0.0370
0.1758
0.6419
0.0019
0.0082
car
0.3471
0.0421
0.0239
0.0541
0.4522
0.0805
clutter
0.4596
0.1425
0.2528
0.1021
0.0003
0.0427
Precision/Correctness
0.760
0.911
0.604
0.543
0.851
0.246
Recall/Completeness
0.849
0.928
0.609
0.642
0.452
0.043
F1
0.802
0.920
0.607
0.589
0.591
0.073

Overall accuracy 0.751

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
0.8738
0.0272
0.0409
0.0474
0.0020
0.0087
building
0.0171
0.9388
0.0066
0.0346
0.0000
0.0028
low_veg
0.1098
0.0225
0.6399
0.2169
0.0002
0.0108
tree
0.1255
0.0361
0.1672
0.6619
0.0015
0.0078
car
0.3066
0.0440
0.0216
0.0480
0.4957
0.0840
clutter
0.4801
0.1253
0.2588
0.0942
0.0002
0.0414
Precision/Correctness
0.787
0.931
0.630
0.571
0.914
0.248
Recall/Completeness
0.874
0.939
0.640
0.662
0.496
0.041
F1
0.828
0.935
0.635
0.613
0.643
0.071

Overall accuracy 0.780

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
0.8144
0.0237
0.1111
0.0276
0.0078
0.0154
building
0.0222
0.9419
0.0081
0.0218
0.0001
0.0059
low_veg
0.1733
0.0237
0.6548
0.1399
0.0009
0.0074
tree
0.1334
0.0328
0.2592
0.5673
0.0007
0.0066
car
0.4082
0.0205
0.0324
0.0514
0.4398
0.0477
clutter
0.6287
0.0470
0.2190
0.0197
0.0016
0.0840
Precision/Correctness
0.595
0.893
0.598
0.696
0.801
0.477
Recall/Completeness
0.814
0.942
0.655
0.567
0.440
0.084
F1
0.688
0.917
0.625
0.625
0.568
0.143

Overall accuracy 0.676

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
0.8377
0.0183
0.1023
0.0236
0.0042
0.0139
building
0.0185
0.9509
0.0062
0.0197
0.0000
0.0047
low_veg
0.1600
0.0180
0.6792
0.1359
0.0004
0.0066
tree
0.1264
0.0319
0.2498
0.5853
0.0005
0.0062
car
0.3749
0.0219
0.0303
0.0476
0.4753
0.0500
clutter
0.6504
0.0431
0.2053
0.0158
0.0012
0.0842
Precision/Correctness
0.608
0.912
0.614
0.721
0.869
0.511
Recall/Completeness
0.838
0.951
0.679
0.585
0.475
0.084
F1
0.704
0.931
0.645
0.646
0.615
0.145

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
0.8582
0.0369
0.0658
0.0178
0.0063
0.0151
building
0.0157
0.8859
0.0135
0.0800
0.0001
0.0047
low_veg
0.0983
0.0430
0.7380
0.1083
0.0016
0.0108
tree
0.1941
0.0507
0.2559
0.4748
0.0015
0.0229
car
0.3085
0.0060
0.0536
0.0185
0.4925
0.1209
clutter
0.2288
0.2460
0.3181
0.0783
0.0204
0.1084
Precision/Correctness
0.830
0.892
0.634
0.543
0.784
0.181
Recall/Completeness
0.858
0.886
0.738
0.475
0.493
0.108
F1
0.844
0.889
0.682
0.506
0.605
0.136

Overall accuracy 0.767

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
0.8821
0.0303
0.0573
0.0150
0.0033
0.0121
building
0.0132
0.8919
0.0114
0.0797
0.0000
0.0037
low_veg
0.0790
0.0346
0.7760
0.1013
0.0008
0.0083
tree
0.1833
0.0519
0.2471
0.4940
0.0011
0.0227
car
0.2713
0.0060
0.0506
0.0154
0.5367
0.1200
clutter
0.2073
0.2520
0.3368
0.0715
0.0226
0.1098
Precision/Correctness
0.858
0.911
0.656
0.562
0.841
0.182
Recall/Completeness
0.882
0.892
0.776
0.494
0.537
0.110
F1
0.870
0.901
0.711
0.526
0.655
0.137

Overall accuracy 0.794

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
0.8313
0.0386
0.0750
0.0292
0.0043
0.0216
building
0.0194
0.9177
0.0185
0.0255
0.0010
0.0179
low_veg
0.0315
0.0178
0.8285
0.1124
0.0003
0.0095
tree
0.1794
0.0162
0.3765
0.4200
0.0019
0.0061
car
0.4040
0.0055
0.0045
0.0061
0.4871
0.0930
clutter
0.2454
0.2220
0.1774
0.0422
0.0034
0.3096
Precision/Correctness
0.842
0.911
0.657
0.565
0.855
0.366
Recall/Completeness
0.831
0.918
0.829
0.420
0.487
0.310
F1
0.837
0.914
0.733
0.482
0.620
0.336

Overall accuracy 0.778

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
0.8551
0.0324
0.0670
0.0259
0.0020
0.0176
building
0.0167
0.9253
0.0155
0.0245
0.0010
0.0169
low_veg
0.0281
0.0128
0.8434
0.1083
0.0001
0.0072
tree
0.1696
0.0152
0.3730
0.4348
0.0017
0.0057
car
0.3516
0.0064
0.0034
0.0055
0.5354
0.0977
clutter
0.2380
0.2039
0.1664
0.0420
0.0032
0.3465
Precision/Correctness
0.865
0.931
0.679
0.583
0.901
0.366
Recall/Completeness
0.855
0.925
0.843
0.435
0.535
0.347
F1
0.860
0.928
0.752
0.498
0.672
0.356

Overall accuracy 0.802

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
0.8319
0.0145
0.0951
0.0327
0.0040
0.0218
building
0.0220
0.9458
0.0071
0.0208
0.0000
0.0042
low_veg
0.1380
0.0161
0.7211
0.1081
0.0005
0.0161
tree
0.1422
0.0176
0.2885
0.5296
0.0014
0.0206
car
0.2849
0.0089
0.0572
0.0370
0.4506
0.1614
clutter
0.3408
0.1661
0.2706
0.0565
0.0025
0.1635
Precision/Correctness
0.713
0.912
0.601
0.692
0.844
0.416
Recall/Completeness
0.832
0.946
0.721
0.530
0.451
0.164
F1
0.768
0.929
0.656
0.600
0.588
0.235

Overall accuracy 0.727

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
0.8566
0.0110
0.0843
0.0279
0.0019
0.0184
building
0.0193
0.9522
0.0049
0.0195
0.0000
0.0040
low_veg
0.1258
0.0116
0.7453
0.1030
0.0002
0.0141
tree
0.1338
0.0169
0.2860
0.5423
0.0012
0.0199
car
0.2450
0.0096
0.0539
0.0345
0.4986
0.1583
clutter
0.3480
0.1358
0.2800
0.0520
0.0025
0.1817
Precision/Correctness
0.735
0.934
0.617
0.720
0.897
0.451
Recall/Completeness
0.857
0.952
0.745
0.542
0.499
0.182
F1
0.791
0.943
0.675
0.619
0.641
0.259

Overall accuracy 0.751

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
0.8421
0.0094
0.0806
0.0247
0.0045
0.0386
building
0.0508
0.8416
0.0140
0.0750
0.0006
0.0181
low_veg
0.1398
0.0158
0.6887
0.1398
0.0002
0.0157
tree
0.1283
0.0154
0.2898
0.5580
0.0020
0.0064
car
0.3423
0.0009
0.0404
0.0211
0.4663
0.1290
clutter
0.5269
0.1020
0.1399
0.0427
0.0015
0.1869
Precision/Correctness
0.783
0.933
0.551
0.555
0.841
0.333
Recall/Completeness
0.842
0.842
0.689
0.558
0.466
0.187
F1
0.811
0.885
0.612
0.557
0.600
0.239

Overall accuracy 0.732

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
0.8623
0.0061
0.0729
0.0210
0.0022
0.0355
building
0.0453
0.8531
0.0119
0.0733
0.0005
0.0158
low_veg
0.1231
0.0105
0.7175
0.1361
0.0001
0.0127
tree
0.1208
0.0140
0.2842
0.5732
0.0017
0.0061
car
0.3018
0.0007
0.0373
0.0198
0.5073
0.1330
clutter
0.5662
0.0672
0.1336
0.0399
0.0012
0.1917
Precision/Correctness
0.801
0.957
0.568
0.576
0.893
0.346
Recall/Completeness
0.862
0.853
0.717
0.573
0.507
0.192
F1
0.831
0.902
0.634
0.575
0.647
0.247

Overall accuracy 0.755

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
0.8910
0.0345
0.0561
0.0080
0.0016
0.0088
building
0.0454
0.8991
0.0158
0.0370
0.0000
0.0028
low_veg
0.0516
0.0167
0.9089
0.0225
0.0000
0.0004
tree
0.2540
0.0193
0.3920
0.3230
0.0011
0.0106
car
0.3998
0.0483
0.0143
0.0087
0.2847
0.2441
clutter
0.5688
0.0260
0.2880
0.0117
0.0002
0.1053
Precision/Correctness
0.828
0.914
0.735
0.686
0.827
0.206
Recall/Completeness
0.891
0.899
0.909
0.323
0.285
0.105
F1
0.858
0.906
0.812
0.439
0.424
0.139

Overall accuracy 0.806

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
0.9106
0.0302
0.0461
0.0061
0.0007
0.0063
building
0.0413
0.9060
0.0132
0.0372
0.0000
0.0022
low_veg
0.0434
0.0115
0.9255
0.0193
0.0000
0.0003
tree
0.2391
0.0182
0.3919
0.3388
0.0010
0.0110
car
0.3667
0.0615
0.0144
0.0081
0.3024
0.2469
clutter
0.5973
0.0184
0.2750
0.0118
0.0001
0.0974
Precision/Correctness
0.846
0.929
0.754
0.706
0.887
0.209
Recall/Completeness
0.911
0.906
0.926
0.339
0.302
0.097
F1
0.877
0.917
0.831
0.458
0.451
0.133

Overall accuracy 0.826

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
0.8760
0.0126
0.0774
0.0140
0.0062
0.0138
building
0.0631
0.8903
0.0115
0.0085
0.0006
0.0260
low_veg
0.1293
0.0212
0.7677
0.0675
0.0005
0.0138
tree
0.1457
0.0330
0.3531
0.4600
0.0022
0.0060
car
0.3562
0.0007
0.0448
0.0200
0.4501
0.1283
clutter
0.3654
0.1488
0.2338
0.0226
0.0010
0.2283
Precision/Correctness
0.826
0.948
0.615
0.690
0.830
0.210
Recall/Completeness
0.876
0.890
0.768
0.460
0.450
0.228
F1
0.850
0.918
0.683
0.552
0.584
0.219

Overall accuracy 0.795

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
0.8965
0.0083
0.0698
0.0122
0.0026
0.0106
building
0.0595
0.8996
0.0088
0.0078
0.0003
0.0239
low_veg
0.1134
0.0151
0.7997
0.0616
0.0002
0.0100
tree
0.1383
0.0330
0.3504
0.4708
0.0017
0.0058
car
0.3201
0.0004
0.0445
0.0185
0.4839
0.1326
clutter
0.3609
0.1608
0.2230
0.0194
0.0010
0.2350
Precision/Correctness
0.846
0.959
0.633
0.720
0.901
0.223
Recall/Completeness
0.897
0.900
0.800
0.471
0.484
0.235
F1
0.871
0.929
0.706
0.569
0.630
0.229

Overall accuracy 0.819

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
0.8379
0.0086
0.1001
0.0230
0.0062
0.0242
building
0.0256
0.8674
0.0245
0.0780
0.0002
0.0042
low_veg
0.1000
0.0072
0.7574
0.1201
0.0015
0.0137
tree
0.0531
0.0468
0.3793
0.5009
0.0017
0.0181
car
0.2459
0.0072
0.0605
0.0147
0.4546
0.2172
clutter
0.3627
0.0005
0.2572
0.0299
0.0043
0.3454
Precision/Correctness
0.844
0.944
0.485
0.625
0.815
0.489
Recall/Completeness
0.838
0.867
0.757
0.501
0.455
0.345
F1
0.841
0.904
0.591
0.556
0.584
0.405

Overall accuracy 0.740

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
0.8641
0.0059
0.0877
0.0203
0.0026
0.0195
building
0.0202
0.8788
0.0195
0.0781
0.0002
0.0033
low_veg
0.0866
0.0041
0.7800
0.1177
0.0008
0.0108
tree
0.0461
0.0483
0.3695
0.5173
0.0015
0.0173
car
0.2160
0.0082
0.0549
0.0135
0.4901
0.2172
clutter
0.3678
0.0002
0.2443
0.0253
0.0037
0.3588
Precision/Correctness
0.864
0.953
0.495
0.642
0.884
0.545
Recall/Completeness
0.864
0.879
0.780
0.517
0.490
0.359
F1
0.864
0.914
0.606
0.573
0.631
0.433

Overall accuracy 0.763

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
0.8840
0.0528
0.0471
0.0098
0.0015
0.0048
building
0.0494
0.9190
0.0053
0.0163
0.0000
0.0101
low_veg
0.0865
0.0245
0.8075
0.0799
0.0002
0.0014
tree
0.1354
0.0328
0.3443
0.4769
0.0011
0.0094
car
0.4685
0.0353
0.0961
0.0148
0.3612
0.0241
clutter
0.5351
0.0184
0.0532
0.0007
0.0001
0.3925
Precision/Correctness
0.838
0.861
0.587
0.688
0.854
0.858
Recall/Completeness
0.884
0.919
0.808
0.477
0.361
0.393
F1
0.860
0.889
0.680
0.563
0.508
0.539

Overall accuracy 0.801

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
0.8969
0.0502
0.0402
0.0078
0.0005
0.0045
building
0.0453
0.9258
0.0039
0.0154
0.0000
0.0096
low_veg
0.0737
0.0198
0.8294
0.0762
0.0001
0.0007
tree
0.1152
0.0326
0.3380
0.5036
0.0008
0.0098
car
0.4325
0.0414
0.0959
0.0150
0.3914
0.0237
clutter
0.5306
0.0173
0.0506
0.0004
0.0000
0.4011
Precision/Correctness
0.850
0.871
0.608
0.712
0.925
0.871
Recall/Completeness
0.897
0.926
0.829
0.504
0.391
0.401
F1
0.873
0.898
0.702
0.590
0.550
0.549

Overall accuracy 0.817

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image