Detailled semantic labeling (2D) result


Name K. Nogueira et al.
Affiliation Universidade Federal de Minas Gerais, Brazil
Abbreviation UFMG_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
0.851
0.023
0.044
0.020
0.003
0.059
building
0.015
0.953
0.006
0.008
0.002
0.017
low_veg
0.038
0.013
0.846
0.077
0.001
0.026
tree
0.047
0.012
0.182
0.742
0.004
0.013
car
0.079
0.007
0.005
0.007
0.871
0.031
clutter
0.290
0.109
0.125
0.030
0.020
0.426
Precision/Correctness
0.886
0.930
0.773
0.830
0.851
0.389
Recall/Completeness
0.851
0.953
0.846
0.742
0.871
0.426
F1
0.868
0.941
0.808
0.783
0.861
0.406

Overall accuracy 0.837

Overall statistics, reference set: no_boundary


Number of non processed tiles by this participant: 0
↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.869
0.019
0.036
0.016
0.001
0.059
building
0.012
0.960
0.004
0.007
0.002
0.015
low_veg
0.029
0.008
0.869
0.069
0.000
0.024
tree
0.038
0.011
0.169
0.766
0.003
0.012
car
0.013
0.007
0.002
0.005
0.941
0.032
clutter
0.297
0.093
0.110
0.026
0.019
0.455
Precision/Correctness
0.906
0.946
0.795
0.855
0.877
0.392
Recall/Completeness
0.869
0.960
0.869
0.766
0.941
0.455
F1
0.887
0.953
0.831
0.808
0.908
0.421

Overall accuracy 0.858
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.7300
0.0250
0.0457
0.0098
0.0030
0.1864
building
0.0078
0.9467
0.0079
0.0150
0.0011
0.0214
low_veg
0.0256
0.0137
0.8655
0.0500
0.0004
0.0448
tree
0.0446
0.0205
0.2106
0.7002
0.0019
0.0222
car
0.0908
0.0089
0.0040
0.0028
0.8248
0.0687
clutter
0.0666
0.1719
0.1262
0.0165
0.0400
0.5788
Precision/Correctness
0.891
0.904
0.804
0.887
0.807
0.138
Recall/Completeness
0.730
0.947
0.866
0.700
0.825
0.579
F1
0.803
0.925
0.833
0.783
0.816
0.223

Overall accuracy 0.803

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
0.7483
0.0190
0.0336
0.0065
0.0012
0.1913
building
0.0060
0.9551
0.0055
0.0141
0.0010
0.0185
low_veg
0.0207
0.0089
0.8866
0.0408
0.0003
0.0428
tree
0.0368
0.0188
0.1920
0.7299
0.0014
0.0210
car
0.0346
0.0087
0.0021
0.0012
0.8832
0.0702
clutter
0.0412
0.1661
0.0911
0.0120
0.0441
0.6455
Precision/Correctness
0.916
0.928
0.829
0.910
0.846
0.118
Recall/Completeness
0.748
0.955
0.887
0.730
0.883
0.645
F1
0.824
0.941
0.857
0.810
0.864
0.199

Overall accuracy 0.826

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
0.4819
0.0224
0.0877
0.0101
0.0014
0.3965
building
0.0035
0.9525
0.0080
0.0078
0.0001
0.0281
low_veg
0.0169
0.0052
0.8957
0.0433
0.0001
0.0388
tree
0.0288
0.0107
0.2456
0.6963
0.0010
0.0176
car
0.0563
0.0271
0.0047
0.0050
0.8716
0.0352
clutter
0.0764
0.2816
0.1140
0.0387
0.0594
0.4299
Precision/Correctness
0.804
0.862
0.784
0.925
0.860
0.018
Recall/Completeness
0.482
0.952
0.896
0.696
0.872
0.430
F1
0.603
0.905
0.836
0.794
0.866
0.034

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: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.4840
0.0202
0.0637
0.0061
0.0003
0.4258
building
0.0026
0.9634
0.0048
0.0057
0.0001
0.0235
low_veg
0.0142
0.0030
0.9076
0.0366
0.0001
0.0386
tree
0.0255
0.0099
0.2321
0.7150
0.0008
0.0167
car
0.0053
0.0309
0.0004
0.0026
0.9305
0.0302
clutter
0.0619
0.3233
0.0836
0.0401
0.0701
0.4210
Precision/Correctness
0.823
0.884
0.801
0.940
0.892
0.012
Recall/Completeness
0.484
0.963
0.908
0.715
0.931
0.421
F1
0.610
0.922
0.851
0.812
0.911
0.024

Overall accuracy 0.778

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
0.8295
0.0259
0.0618
0.0224
0.0033
0.0570
building
0.0105
0.9701
0.0047
0.0041
0.0005
0.0100
low_veg
0.0483
0.0266
0.8140
0.0901
0.0005
0.0205
tree
0.0308
0.0120
0.1360
0.8034
0.0039
0.0138
car
0.0740
0.0071
0.0030
0.0094
0.8812
0.0253
clutter
0.2385
0.1840
0.2209
0.0292
0.0162
0.3112
Precision/Correctness
0.882
0.923
0.779
0.868
0.865
0.227
Recall/Completeness
0.829
0.970
0.814
0.803
0.881
0.311
F1
0.855
0.946
0.796
0.834
0.873
0.263

Overall accuracy 0.843

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
0.8577
0.0187
0.0503
0.0160
0.0005
0.0569
building
0.0085
0.9763
0.0031
0.0031
0.0004
0.0085
low_veg
0.0404
0.0157
0.8451
0.0804
0.0003
0.0182
tree
0.0244
0.0102
0.1212
0.8274
0.0032
0.0135
car
0.0122
0.0073
0.0007
0.0052
0.9502
0.0243
clutter
0.2478
0.1807
0.1916
0.0223
0.0176
0.3401
Precision/Correctness
0.908
0.947
0.807
0.893
0.905
0.207
Recall/Completeness
0.858
0.976
0.845
0.827
0.950
0.340
F1
0.882
0.962
0.826
0.859
0.927
0.257

Overall accuracy 0.870

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
0.7863
0.0426
0.0695
0.0240
0.0044
0.0731
building
0.0086
0.9737
0.0032
0.0050
0.0002
0.0093
low_veg
0.0272
0.0156
0.8611
0.0808
0.0002
0.0150
tree
0.0313
0.0175
0.2584
0.6719
0.0023
0.0186
car
0.0663
0.0177
0.0043
0.0136
0.8684
0.0296
clutter
0.1879
0.1738
0.1638
0.0275
0.0161
0.4308
Precision/Correctness
0.874
0.902
0.728
0.857
0.831
0.328
Recall/Completeness
0.786
0.974
0.861
0.672
0.868
0.431
F1
0.828
0.937
0.789
0.753
0.849
0.373

Overall accuracy 0.808

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
0.8135
0.0364
0.0566
0.0176
0.0017
0.0743
building
0.0070
0.9800
0.0011
0.0041
0.0002
0.0075
low_veg
0.0198
0.0092
0.8875
0.0704
0.0002
0.0129
tree
0.0270
0.0161
0.2476
0.6894
0.0020
0.0178
car
0.0095
0.0180
0.0017
0.0080
0.9353
0.0275
clutter
0.1841
0.1625
0.1328
0.0206
0.0171
0.4830
Precision/Correctness
0.899
0.924
0.746
0.883
0.864
0.326
Recall/Completeness
0.813
0.980
0.887
0.689
0.935
0.483
F1
0.854
0.951
0.811
0.774
0.898
0.389

Overall accuracy 0.832

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
0.8912
0.0239
0.0368
0.0301
0.0016
0.0165
building
0.0110
0.9666
0.0055
0.0079
0.0010
0.0081
low_veg
0.0402
0.0203
0.7815
0.1503
0.0005
0.0073
tree
0.0452
0.0065
0.0690
0.8698
0.0036
0.0058
car
0.0852
0.0070
0.0056
0.0107
0.8748
0.0167
clutter
0.3991
0.1276
0.1634
0.0674
0.0160
0.2265
Precision/Correctness
0.859
0.942
0.775
0.744
0.887
0.609
Recall/Completeness
0.891
0.967
0.782
0.870
0.875
0.226
F1
0.875
0.954
0.778
0.802
0.881
0.330

Overall accuracy 0.852

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
0.9104
0.0200
0.0301
0.0238
0.0004
0.0153
building
0.0071
0.9756
0.0027
0.0066
0.0007
0.0073
low_veg
0.0314
0.0136
0.8077
0.1412
0.0002
0.0058
tree
0.0342
0.0045
0.0577
0.8956
0.0028
0.0052
car
0.0116
0.0056
0.0020
0.0060
0.9574
0.0174
clutter
0.4116
0.1119
0.1530
0.0600
0.0160
0.2475
Precision/Correctness
0.884
0.957
0.807
0.776
0.908
0.626
Recall/Completeness
0.910
0.976
0.808
0.896
0.957
0.247
F1
0.897
0.966
0.807
0.831
0.932
0.355

Overall accuracy 0.878

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
0.8538
0.0203
0.0661
0.0177
0.0031
0.0390
building
0.0107
0.9680
0.0025
0.0050
0.0063
0.0074
low_veg
0.0829
0.0187
0.7570
0.0855
0.0010
0.0549
tree
0.0459
0.0099
0.1500
0.7749
0.0043
0.0149
car
0.0773
0.0071
0.0049
0.0124
0.8692
0.0291
clutter
0.5577
0.0430
0.1021
0.0158
0.0041
0.2773
Precision/Correctness
0.715
0.925
0.757
0.844
0.850
0.499
Recall/Completeness
0.854
0.968
0.757
0.775
0.869
0.277
F1
0.778
0.946
0.757
0.808
0.859
0.357

Overall accuracy 0.783

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
0.8711
0.0154
0.0611
0.0137
0.0005
0.0383
building
0.0083
0.9746
0.0011
0.0038
0.0061
0.0060
low_veg
0.0725
0.0128
0.7806
0.0783
0.0006
0.0553
tree
0.0378
0.0081
0.1330
0.8036
0.0036
0.0138
car
0.0198
0.0072
0.0029
0.0090
0.9309
0.0302
clutter
0.5790
0.0391
0.0878
0.0127
0.0031
0.2782
Precision/Correctness
0.724
0.943
0.779
0.868
0.873
0.514
Recall/Completeness
0.871
0.975
0.781
0.804
0.931
0.278
F1
0.791
0.959
0.780
0.834
0.901
0.361

Overall accuracy 0.801

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
0.8753
0.0246
0.0581
0.0093
0.0031
0.0296
building
0.0053
0.9752
0.0060
0.0094
0.0004
0.0036
low_veg
0.0464
0.0262
0.8572
0.0562
0.0020
0.0119
tree
0.0962
0.0130
0.1665
0.7016
0.0119
0.0109
car
0.0831
0.0041
0.0067
0.0027
0.8697
0.0338
clutter
0.3025
0.2306
0.1108
0.0254
0.0187
0.3120
Precision/Correctness
0.902
0.935
0.752
0.848
0.853
0.370
Recall/Completeness
0.875
0.975
0.857
0.702
0.870
0.312
F1
0.889
0.955
0.801
0.768
0.861
0.338

Overall accuracy 0.865

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
0.8915
0.0187
0.0530
0.0070
0.0010
0.0288
building
0.0035
0.9809
0.0045
0.0085
0.0002
0.0024
low_veg
0.0303
0.0171
0.8913
0.0499
0.0017
0.0097
tree
0.0832
0.0112
0.1463
0.7384
0.0105
0.0104
car
0.0134
0.0040
0.0012
0.0013
0.9435
0.0366
clutter
0.3179
0.2319
0.0876
0.0226
0.0153
0.3245
Precision/Correctness
0.926
0.952
0.776
0.874
0.883
0.353
Recall/Completeness
0.891
0.981
0.891
0.738
0.944
0.325
F1
0.909
0.966
0.829
0.801
0.912
0.338

Overall accuracy 0.889

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
0.8719
0.0266
0.0467
0.0246
0.0021
0.0280
building
0.0102
0.9513
0.0047
0.0066
0.0006
0.0266
low_veg
0.0421
0.0125
0.8468
0.0806
0.0008
0.0171
tree
0.0573
0.0074
0.1829
0.7434
0.0042
0.0047
car
0.1012
0.0037
0.0009
0.0030
0.8643
0.0269
clutter
0.1759
0.2253
0.1368
0.0332
0.1045
0.3242
Precision/Correctness
0.917
0.933
0.787
0.775
0.818
0.327
Recall/Completeness
0.872
0.951
0.847
0.743
0.864
0.324
F1
0.894
0.942
0.816
0.759
0.840
0.326

Overall accuracy 0.856

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
0.8920
0.0214
0.0410
0.0196
0.0005
0.0255
building
0.0074
0.9573
0.0033
0.0057
0.0005
0.0257
low_veg
0.0372
0.0077
0.8666
0.0735
0.0005
0.0144
tree
0.0440
0.0058
0.1694
0.7730
0.0037
0.0041
car
0.0170
0.0043
0.0001
0.0014
0.9472
0.0298
clutter
0.1514
0.2108
0.1252
0.0330
0.1268
0.3528
Precision/Correctness
0.940
0.951
0.812
0.802
0.833
0.306
Recall/Completeness
0.892
0.957
0.867
0.773
0.947
0.353
F1
0.916
0.954
0.839
0.787
0.887
0.328

Overall accuracy 0.880

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
0.8848
0.0116
0.0370
0.0293
0.0014
0.0358
building
0.0161
0.9628
0.0040
0.0026
0.0004
0.0141
low_veg
0.0535
0.0074
0.8083
0.1036
0.0006
0.0265
tree
0.0610
0.0117
0.1423
0.7594
0.0069
0.0187
car
0.0946
0.0126
0.0098
0.0064
0.8472
0.0294
clutter
0.1691
0.1736
0.1402
0.0488
0.0145
0.4539
Precision/Correctness
0.855
0.924
0.783
0.798
0.852
0.599
Recall/Completeness
0.885
0.963
0.808
0.759
0.847
0.454
F1
0.870
0.943
0.795
0.778
0.850
0.517

Overall accuracy 0.834

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
0.9028
0.0091
0.0295
0.0245
0.0003
0.0338
building
0.0143
0.9681
0.0023
0.0021
0.0003
0.0130
low_veg
0.0404
0.0038
0.8308
0.0999
0.0003
0.0249
tree
0.0513
0.0105
0.1341
0.7809
0.0059
0.0172
car
0.0137
0.0135
0.0077
0.0037
0.9316
0.0297
clutter
0.1545
0.1447
0.1309
0.0490
0.0141
0.5068
Precision/Correctness
0.883
0.944
0.804
0.819
0.871
0.620
Recall/Completeness
0.903
0.968
0.831
0.781
0.932
0.507
F1
0.893
0.956
0.817
0.799
0.900
0.558

Overall accuracy 0.857

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
0.8648
0.0076
0.0449
0.0260
0.0018
0.0550
building
0.0128
0.9529
0.0078
0.0119
0.0024
0.0122
low_veg
0.0439
0.0091
0.7814
0.1394
0.0003
0.0259
tree
0.0470
0.0082
0.1201
0.8138
0.0052
0.0057
car
0.1076
0.0023
0.0045
0.0100
0.8459
0.0297
clutter
0.3410
0.1086
0.0930
0.0329
0.0112
0.4133
Precision/Correctness
0.892
0.948
0.734
0.725
0.890
0.490
Recall/Completeness
0.865
0.953
0.781
0.814
0.846
0.413
F1
0.878
0.950
0.757
0.767
0.868
0.449

Overall accuracy 0.837

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
0.8780
0.0044
0.0401
0.0215
0.0008
0.0551
building
0.0092
0.9621
0.0065
0.0098
0.0021
0.0102
low_veg
0.0281
0.0047
0.8070
0.1351
0.0003
0.0249
tree
0.0370
0.0066
0.1104
0.8364
0.0047
0.0049
car
0.0196
0.0022
0.0008
0.0081
0.9379
0.0313
clutter
0.3558
0.0750
0.0832
0.0319
0.0104
0.4436
Precision/Correctness
0.912
0.968
0.755
0.752
0.903
0.496
Recall/Completeness
0.878
0.962
0.807
0.836
0.938
0.444
F1
0.895
0.965
0.780
0.792
0.920
0.468

Overall accuracy 0.858

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
0.9110
0.0316
0.0246
0.0136
0.0015
0.0177
building
0.0293
0.9336
0.0141
0.0118
0.0010
0.0103
low_veg
0.0190
0.0070
0.9396
0.0324
0.0002
0.0019
tree
0.1148
0.0062
0.1754
0.6973
0.0021
0.0042
car
0.0672
0.0104
0.0008
0.0008
0.7946
0.1262
clutter
0.2965
0.0631
0.2062
0.0279
0.0221
0.3843
Precision/Correctness
0.914
0.935
0.855
0.837
0.864
0.404
Recall/Completeness
0.911
0.934
0.940
0.697
0.795
0.384
F1
0.913
0.934
0.895
0.761
0.828
0.394

Overall accuracy 0.886

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
0.9248
0.0288
0.0196
0.0099
0.0004
0.0164
building
0.0257
0.9416
0.0111
0.0113
0.0010
0.0093
low_veg
0.0111
0.0042
0.9553
0.0280
0.0001
0.0012
tree
0.0953
0.0050
0.1639
0.7302
0.0017
0.0038
car
0.0109
0.0131
0.0006
0.0002
0.8416
0.1335
clutter
0.2936
0.0571
0.1925
0.0261
0.0188
0.4119
Precision/Correctness
0.932
0.945
0.873
0.861
0.898
0.415
Recall/Completeness
0.925
0.942
0.955
0.730
0.842
0.412
F1
0.928
0.943
0.913
0.790
0.869
0.413

Overall accuracy 0.904

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
0.9258
0.0055
0.0332
0.0123
0.0036
0.0196
building
0.0369
0.9194
0.0044
0.0029
0.0069
0.0295
low_veg
0.0423
0.0097
0.8719
0.0661
0.0007
0.0094
tree
0.0573
0.0099
0.1747
0.7436
0.0080
0.0064
car
0.0555
0.0040
0.0060
0.0071
0.9111
0.0163
clutter
0.3262
0.1824
0.2043
0.0496
0.0202
0.2172
Precision/Correctness
0.918
0.969
0.789
0.804
0.856
0.209
Recall/Completeness
0.926
0.919
0.872
0.744
0.911
0.217
F1
0.922
0.943
0.829
0.773
0.883
0.213

Overall accuracy 0.881

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
0.9405
0.0027
0.0280
0.0099
0.0002
0.0186
building
0.0328
0.9273
0.0023
0.0024
0.0066
0.0286
low_veg
0.0276
0.0058
0.8980
0.0606
0.0002
0.0079
tree
0.0477
0.0082
0.1617
0.7697
0.0066
0.0060
car
0.0043
0.0035
0.0041
0.0047
0.9678
0.0155
clutter
0.3256
0.1986
0.1991
0.0480
0.0190
0.2096
Precision/Correctness
0.935
0.977
0.811
0.831
0.882
0.191
Recall/Completeness
0.941
0.927
0.898
0.770
0.968
0.210
F1
0.938
0.951
0.852
0.799
0.923
0.200

Overall accuracy 0.899

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
0.8752
0.0098
0.0401
0.0256
0.0038
0.0455
building
0.0095
0.9399
0.0105
0.0162
0.0014
0.0225
low_veg
0.0324
0.0040
0.8435
0.0835
0.0009
0.0357
tree
0.0281
0.0103
0.1970
0.7536
0.0056
0.0053
car
0.0689
0.0019
0.0056
0.0094
0.8896
0.0247
clutter
0.1454
0.0184
0.1376
0.0235
0.0318
0.6434
Precision/Correctness
0.937
0.969
0.689
0.810
0.854
0.568
Recall/Completeness
0.875
0.940
0.843
0.754
0.890
0.643
F1
0.905
0.954
0.758
0.781
0.871
0.603

Overall accuracy 0.853

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
0.8931
0.0074
0.0331
0.0214
0.0004
0.0446
building
0.0064
0.9490
0.0082
0.0153
0.0012
0.0199
low_veg
0.0180
0.0019
0.8698
0.0758
0.0001
0.0343
tree
0.0210
0.0090
0.1803
0.7804
0.0045
0.0047
car
0.0104
0.0018
0.0010
0.0064
0.9553
0.0252
clutter
0.1416
0.0160
0.1307
0.0198
0.0302
0.6618
Precision/Correctness
0.955
0.977
0.707
0.836
0.888
0.585
Recall/Completeness
0.893
0.949
0.870
0.780
0.955
0.662
F1
0.923
0.963
0.780
0.807
0.921
0.621

Overall accuracy 0.874

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
0.8576
0.0471
0.0170
0.0257
0.0022
0.0504
building
0.0238
0.9228
0.0037
0.0022
0.0044
0.0432
low_veg
0.0439
0.0178
0.8026
0.1201
0.0005
0.0152
tree
0.0304
0.0151
0.1635
0.7817
0.0022
0.0070
car
0.0549
0.0052
0.0023
0.0079
0.9201
0.0095
clutter
0.2025
0.0259
0.0454
0.0019
0.0109
0.7133
Precision/Correctness
0.932
0.878
0.756
0.703
0.794
0.636
Recall/Completeness
0.858
0.923
0.803
0.782
0.920
0.713
F1
0.893
0.900
0.779
0.740
0.853
0.672

Overall accuracy 0.849

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
0.8698
0.0437
0.0142
0.0206
0.0008
0.0509
building
0.0214
0.9270
0.0028
0.0017
0.0040
0.0431
low_veg
0.0315
0.0135
0.8257
0.1141
0.0003
0.0148
tree
0.0173
0.0124
0.1528
0.8088
0.0016
0.0072
car
0.0051
0.0043
0.0006
0.0044
0.9773
0.0084
clutter
0.1964
0.0235
0.0432
0.0016
0.0097
0.7255
Precision/Correctness
0.941
0.890
0.776
0.730
0.816
0.641
Recall/Completeness
0.870
0.927
0.826
0.809
0.977
0.726
F1
0.904
0.908
0.800
0.768
0.889
0.681

Overall accuracy 0.862

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image