Detailled semantic labeling (2D) result


Name Yansong Liu et al.
Affiliation Rochester Institute of Technology
Abbreviation RIT_L2
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
0.903
0.029
0.041
0.020
0.003
0.003
building
0.031
0.941
0.018
0.007
0.000
0.002
low_veg
0.056
0.017
0.846
0.076
0.000
0.004
tree
0.050
0.007
0.171
0.767
0.003
0.002
car
0.153
0.023
0.008
0.018
0.795
0.003
clutter
0.412
0.149
0.154
0.056
0.010
0.220
Precision/Correctness
0.851
0.914
0.768
0.828
0.887
0.776
Recall/Completeness
0.903
0.941
0.846
0.767
0.795
0.220
F1
0.876
0.927
0.805
0.796
0.838
0.343

Overall accuracy 0.843

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
0.926
0.023
0.032
0.016
0.000
0.003
building
0.028
0.948
0.016
0.006
0.000
0.002
low_veg
0.045
0.011
0.871
0.068
0.000
0.004
tree
0.041
0.005
0.156
0.793
0.002
0.002
car
0.075
0.025
0.004
0.013
0.880
0.003
clutter
0.425
0.131
0.138
0.053
0.009
0.243
Precision/Correctness
0.873
0.935
0.793
0.855
0.930
0.801
Recall/Completeness
0.926
0.948
0.871
0.793
0.880
0.243
F1
0.898
0.941
0.830
0.823
0.904
0.372

Overall accuracy 0.868
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8886
0.0357
0.0440
0.0195
0.0030
0.0093
building
0.0312
0.9071
0.0280
0.0296
0.0010
0.0031
low_veg
0.0556
0.0155
0.8478
0.0648
0.0003
0.0160
tree
0.0487
0.0102
0.1856
0.7493
0.0017
0.0044
car
0.1534
0.0355
0.0111
0.0128
0.7806
0.0065
clutter
0.1828
0.2671
0.1565
0.0603
0.0363
0.2970
Precision/Correctness
0.848
0.887
0.805
0.848
0.813
0.393
Recall/Completeness
0.889
0.907
0.848
0.749
0.781
0.297
F1
0.868
0.897
0.826
0.796
0.797
0.338

Overall accuracy 0.834

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
0.9173
0.0275
0.0322
0.0141
0.0006
0.0083
building
0.0272
0.9160
0.0253
0.0284
0.0008
0.0024
low_veg
0.0493
0.0095
0.8703
0.0550
0.0001
0.0158
tree
0.0409
0.0088
0.1636
0.7815
0.0013
0.0039
car
0.0870
0.0400
0.0085
0.0090
0.8482
0.0072
clutter
0.1551
0.2715
0.1247
0.0510
0.0402
0.3574
Precision/Correctness
0.873
0.917
0.833
0.874
0.870
0.383
Recall/Completeness
0.917
0.916
0.870
0.782
0.848
0.357
F1
0.895
0.916
0.851
0.825
0.859
0.370

Overall accuracy 0.862

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
0.8617
0.0238
0.0956
0.0154
0.0025
0.0009
building
0.0104
0.9560
0.0193
0.0116
0.0010
0.0016
low_veg
0.0163
0.0064
0.9412
0.0342
0.0002
0.0017
tree
0.0255
0.0055
0.2443
0.7227
0.0009
0.0010
car
0.0982
0.0643
0.0070
0.0143
0.8112
0.0050
clutter
0.1391
0.2705
0.2448
0.0908
0.0462
0.2085
Precision/Correctness
0.883
0.872
0.789
0.935
0.829
0.355
Recall/Completeness
0.862
0.956
0.941
0.723
0.811
0.209
F1
0.872
0.912
0.859
0.815
0.820
0.263

Overall accuracy 0.849

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
0.9020
0.0192
0.0675
0.0102
0.0004
0.0006
building
0.0084
0.9667
0.0143
0.0086
0.0008
0.0012
low_veg
0.0123
0.0041
0.9541
0.0278
0.0001
0.0016
tree
0.0219
0.0049
0.2280
0.7437
0.0007
0.0010
car
0.0402
0.0738
0.0030
0.0087
0.8697
0.0047
clutter
0.1166
0.2858
0.2077
0.1055
0.0486
0.2359
Precision/Correctness
0.905
0.901
0.808
0.950
0.889
0.331
Recall/Completeness
0.902
0.967
0.954
0.744
0.870
0.236
F1
0.903
0.933
0.875
0.834
0.879
0.275

Overall accuracy 0.869

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
0.8799
0.0333
0.0562
0.0246
0.0029
0.0032
building
0.0221
0.9589
0.0108
0.0058
0.0002
0.0023
low_veg
0.0561
0.0346
0.8378
0.0686
0.0002
0.0027
tree
0.0376
0.0084
0.1446
0.8054
0.0030
0.0010
car
0.1855
0.0187
0.0057
0.0239
0.7653
0.0009
clutter
0.3814
0.1972
0.2538
0.0499
0.0122
0.1055
Precision/Correctness
0.849
0.910
0.775
0.881
0.877
0.530
Recall/Completeness
0.880
0.959
0.838
0.805
0.765
0.106
F1
0.864
0.934
0.805
0.842
0.817
0.176

Overall accuracy 0.852

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
0.9108
0.0251
0.0430
0.0178
0.0006
0.0028
building
0.0185
0.9666
0.0084
0.0046
0.0002
0.0018
low_veg
0.0459
0.0231
0.8705
0.0584
0.0001
0.0020
tree
0.0304
0.0070
0.1271
0.8322
0.0025
0.0008
car
0.0958
0.0210
0.0024
0.0176
0.8628
0.0004
clutter
0.4091
0.1926
0.2189
0.0451
0.0145
0.1197
Precision/Correctness
0.880
0.937
0.807
0.908
0.916
0.551
Recall/Completeness
0.911
0.967
0.870
0.832
0.863
0.120
F1
0.895
0.951
0.837
0.869
0.889
0.197

Overall accuracy 0.882

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
0.8849
0.0351
0.0541
0.0217
0.0022
0.0020
building
0.0231
0.9568
0.0142
0.0044
0.0002
0.0012
low_veg
0.0442
0.0199
0.8833
0.0511
0.0001
0.0012
tree
0.0381
0.0072
0.2357
0.7145
0.0016
0.0030
car
0.2112
0.0169
0.0036
0.0346
0.7288
0.0049
clutter
0.3310
0.2059
0.1564
0.0604
0.0088
0.2375
Precision/Correctness
0.825
0.909
0.749
0.895
0.877
0.797
Recall/Completeness
0.885
0.957
0.883
0.715
0.729
0.238
F1
0.854
0.932
0.811
0.795
0.796
0.366

Overall accuracy 0.835

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
0.9156
0.0267
0.0406
0.0151
0.0003
0.0018
building
0.0197
0.9635
0.0125
0.0033
0.0002
0.0008
low_veg
0.0326
0.0129
0.9126
0.0411
0.0000
0.0009
tree
0.0327
0.0060
0.2202
0.7371
0.0014
0.0026
car
0.1318
0.0162
0.0018
0.0258
0.8196
0.0048
clutter
0.3261
0.1971
0.1239
0.0556
0.0093
0.2880
Precision/Correctness
0.857
0.934
0.771
0.922
0.917
0.827
Recall/Completeness
0.916
0.963
0.913
0.737
0.820
0.288
F1
0.886
0.948
0.836
0.819
0.866
0.427

Overall accuracy 0.862

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
0.9078
0.0309
0.0326
0.0252
0.0022
0.0013
building
0.0237
0.9607
0.0084
0.0065
0.0002
0.0005
low_veg
0.0612
0.0253
0.7905
0.1209
0.0003
0.0018
tree
0.0488
0.0063
0.0806
0.8618
0.0019
0.0007
car
0.1551
0.0157
0.0063
0.0306
0.7916
0.0006
clutter
0.5183
0.1775
0.1581
0.0990
0.0078
0.0393
Precision/Correctness
0.817
0.924
0.772
0.761
0.917
0.744
Recall/Completeness
0.908
0.961
0.790
0.862
0.792
0.039
F1
0.860
0.942
0.781
0.808
0.850
0.075

Overall accuracy 0.841

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
0.9318
0.0230
0.0248
0.0190
0.0004
0.0011
building
0.0202
0.9679
0.0061
0.0053
0.0002
0.0004
low_veg
0.0483
0.0152
0.8235
0.1114
0.0001
0.0016
tree
0.0366
0.0043
0.0663
0.8909
0.0013
0.0006
car
0.0692
0.0147
0.0020
0.0210
0.8923
0.0008
clutter
0.5535
0.1583
0.1436
0.0948
0.0083
0.0416
Precision/Correctness
0.842
0.945
0.810
0.795
0.949
0.768
Recall/Completeness
0.932
0.968
0.823
0.891
0.892
0.042
F1
0.884
0.957
0.816
0.840
0.920
0.079

Overall accuracy 0.869

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
0.8883
0.0229
0.0618
0.0177
0.0035
0.0057
building
0.0281
0.9572
0.0068
0.0060
0.0003
0.0015
low_veg
0.1281
0.0202
0.7238
0.1222
0.0005
0.0053
tree
0.0515
0.0062
0.1533
0.7826
0.0026
0.0039
car
0.1593
0.0215
0.0050
0.0269
0.7793
0.0080
clutter
0.6468
0.0601
0.1037
0.0236
0.0021
0.1636
Precision/Correctness
0.668
0.914
0.747
0.800
0.909
0.806
Recall/Completeness
0.888
0.957
0.724
0.783
0.779
0.164
F1
0.763
0.935
0.735
0.791
0.839
0.272

Overall accuracy 0.770

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
0.9085
0.0171
0.0549
0.0136
0.0006
0.0053
building
0.0241
0.9646
0.0050
0.0047
0.0003
0.0013
low_veg
0.1161
0.0136
0.7479
0.1178
0.0001
0.0046
tree
0.0424
0.0048
0.1359
0.8110
0.0021
0.0037
car
0.0873
0.0235
0.0027
0.0203
0.8583
0.0080
clutter
0.6691
0.0546
0.0867
0.0192
0.0016
0.1688
Precision/Correctness
0.679
0.935
0.772
0.823
0.952
0.830
Recall/Completeness
0.909
0.965
0.748
0.811
0.858
0.169
F1
0.777
0.950
0.760
0.817
0.903
0.281

Overall accuracy 0.790

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
0.9141
0.0353
0.0362
0.0100
0.0021
0.0022
building
0.0203
0.9468
0.0245
0.0049
0.0008
0.0027
low_veg
0.0690
0.0337
0.8416
0.0524
0.0008
0.0025
tree
0.0957
0.0085
0.1767
0.7084
0.0064
0.0042
car
0.1656
0.0366
0.0074
0.0096
0.7783
0.0025
clutter
0.3845
0.2670
0.1443
0.0512
0.0119
0.1410
Precision/Correctness
0.874
0.915
0.746
0.857
0.891
0.611
Recall/Completeness
0.914
0.947
0.842
0.708
0.778
0.141
F1
0.894
0.931
0.791
0.775
0.831
0.229

Overall accuracy 0.860

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
0.9334
0.0288
0.0285
0.0074
0.0004
0.0015
building
0.0168
0.9532
0.0227
0.0041
0.0008
0.0024
low_veg
0.0494
0.0234
0.8798
0.0456
0.0003
0.0015
tree
0.0810
0.0070
0.1556
0.7473
0.0051
0.0040
car
0.0757
0.0417
0.0019
0.0043
0.8739
0.0025
clutter
0.3982
0.2660
0.1241
0.0480
0.0118
0.1520
Precision/Correctness
0.903
0.935
0.775
0.886
0.926
0.632
Recall/Completeness
0.933
0.953
0.880
0.747
0.874
0.152
F1
0.918
0.944
0.824
0.811
0.899
0.245

Overall accuracy 0.888

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
0.9010
0.0254
0.0422
0.0282
0.0014
0.0019
building
0.0261
0.9539
0.0137
0.0052
0.0001
0.0010
low_veg
0.0541
0.0165
0.8293
0.0966
0.0009
0.0027
tree
0.0665
0.0050
0.1446
0.7791
0.0028
0.0019
car
0.2299
0.0208
0.0015
0.0085
0.7361
0.0032
clutter
0.3192
0.3469
0.1613
0.0453
0.0123
0.1151
Precision/Correctness
0.877
0.919
0.794
0.757
0.930
0.682
Recall/Completeness
0.901
0.954
0.829
0.779
0.736
0.115
F1
0.889
0.936
0.811
0.768
0.822
0.197

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9212
0.0186
0.0361
0.0227
0.0002
0.0011
building
0.0225
0.9601
0.0121
0.0043
0.0001
0.0009
low_veg
0.0491
0.0109
0.8489
0.0883
0.0008
0.0019
tree
0.0514
0.0036
0.1304
0.8105
0.0024
0.0018
car
0.1340
0.0230
0.0004
0.0058
0.8336
0.0031
clutter
0.3008
0.3614
0.1495
0.0471
0.0141
0.1270
Precision/Correctness
0.904
0.940
0.822
0.784
0.953
0.713
Recall/Completeness
0.921
0.960
0.849
0.811
0.834
0.127
F1
0.912
0.950
0.835
0.797
0.890
0.216

Overall accuracy 0.883

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
0.9204
0.0121
0.0401
0.0226
0.0015
0.0033
building
0.0278
0.9595
0.0093
0.0023
0.0003
0.0009
low_veg
0.0728
0.0120
0.8270
0.0848
0.0005
0.0029
tree
0.0740
0.0071
0.1256
0.7869
0.0044
0.0020
car
0.2097
0.0176
0.0100
0.0193
0.7402
0.0032
clutter
0.3048
0.1986
0.1631
0.0977
0.0090
0.2268
Precision/Correctness
0.800
0.916
0.783
0.812
0.878
0.887
Recall/Completeness
0.920
0.959
0.827
0.787
0.740
0.227
F1
0.856
0.937
0.805
0.799
0.803
0.361

Overall accuracy 0.832

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
0.9409
0.0084
0.0298
0.0179
0.0003
0.0028
building
0.0251
0.9650
0.0069
0.0019
0.0002
0.0008
low_veg
0.0598
0.0076
0.8503
0.0797
0.0002
0.0025
tree
0.0626
0.0060
0.1151
0.8109
0.0036
0.0018
car
0.1146
0.0183
0.0044
0.0141
0.8452
0.0034
clutter
0.3035
0.1693
0.1537
0.1037
0.0090
0.2607
Precision/Correctness
0.827
0.939
0.810
0.834
0.905
0.906
Recall/Completeness
0.941
0.965
0.850
0.811
0.845
0.261
F1
0.880
0.952
0.830
0.822
0.874
0.405

Overall accuracy 0.858

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
0.9052
0.0190
0.0440
0.0248
0.0020
0.0051
building
0.0444
0.9251
0.0188
0.0096
0.0006
0.0015
low_veg
0.0654
0.0140
0.7861
0.1279
0.0002
0.0064
tree
0.0477
0.0054
0.1035
0.8398
0.0028
0.0007
car
0.1737
0.0164
0.0052
0.0154
0.7889
0.0004
clutter
0.3973
0.1564
0.1443
0.0351
0.0108
0.2560
Precision/Correctness
0.861
0.914
0.717
0.745
0.910
0.839
Recall/Completeness
0.905
0.925
0.786
0.840
0.789
0.256
F1
0.883
0.919
0.750
0.789
0.845
0.392

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
0.9221
0.0145
0.0374
0.0205
0.0005
0.0049
building
0.0391
0.9344
0.0169
0.0080
0.0005
0.0011
low_veg
0.0465
0.0085
0.8159
0.1227
0.0001
0.0063
tree
0.0373
0.0038
0.0932
0.8629
0.0023
0.0006
car
0.0809
0.0193
0.0014
0.0124
0.8857
0.0003
clutter
0.4124
0.1188
0.1374
0.0328
0.0110
0.2875
Precision/Correctness
0.882
0.939
0.741
0.772
0.933
0.854
Recall/Completeness
0.922
0.934
0.816
0.863
0.886
0.287
F1
0.902
0.937
0.777
0.815
0.909
0.430

Overall accuracy 0.861

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
0.9087
0.0316
0.0411
0.0151
0.0018
0.0017
building
0.0388
0.9209
0.0352
0.0029
0.0004
0.0018
low_veg
0.0197
0.0090
0.9368
0.0342
0.0001
0.0002
tree
0.0959
0.0021
0.1564
0.7434
0.0018
0.0005
car
0.0857
0.0518
0.0495
0.0046
0.8066
0.0019
clutter
0.4121
0.0671
0.3902
0.0324
0.0051
0.0930
Precision/Correctness
0.907
0.932
0.812
0.853
0.899
0.612
Recall/Completeness
0.909
0.921
0.937
0.743
0.807
0.093
F1
0.908
0.926
0.870
0.795
0.850
0.161

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9307
0.0267
0.0306
0.0105
0.0004
0.0011
building
0.0359
0.9273
0.0329
0.0022
0.0002
0.0015
low_veg
0.0147
0.0048
0.9514
0.0289
0.0000
0.0001
tree
0.0775
0.0013
0.1442
0.7751
0.0015
0.0003
car
0.0258
0.0590
0.0397
0.0033
0.8704
0.0019
clutter
0.4228
0.0572
0.4001
0.0296
0.0041
0.0861
Precision/Correctness
0.923
0.947
0.836
0.883
0.952
0.642
Recall/Completeness
0.931
0.927
0.951
0.775
0.870
0.086
F1
0.927
0.937
0.890
0.825
0.909
0.152

Overall accuracy 0.901

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
0.9286
0.0240
0.0272
0.0137
0.0053
0.0012
building
0.0508
0.9306
0.0058
0.0087
0.0009
0.0032
low_veg
0.0732
0.0219
0.8177
0.0854
0.0007
0.0011
tree
0.0676
0.0059
0.0977
0.8220
0.0058
0.0010
car
0.1002
0.0099
0.0028
0.0167
0.8690
0.0014
clutter
0.3444
0.2880
0.2035
0.0587
0.0233
0.0821
Precision/Correctness
0.892
0.932
0.826
0.772
0.885
0.520
Recall/Completeness
0.929
0.931
0.818
0.822
0.869
0.082
F1
0.910
0.931
0.822
0.796
0.877
0.142

Overall accuracy 0.880

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
0.9488
0.0183
0.0206
0.0106
0.0006
0.0010
building
0.0473
0.9371
0.0039
0.0081
0.0007
0.0030
low_veg
0.0581
0.0132
0.8500
0.0779
0.0001
0.0007
tree
0.0565
0.0044
0.0864
0.8469
0.0049
0.0009
car
0.0380
0.0080
0.0009
0.0124
0.9394
0.0013
clutter
0.3386
0.3089
0.1917
0.0545
0.0226
0.0837
Precision/Correctness
0.910
0.948
0.855
0.802
0.943
0.529
Recall/Completeness
0.949
0.937
0.850
0.847
0.939
0.084
F1
0.929
0.942
0.852
0.824
0.941
0.145

Overall accuracy 0.902

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
0.8905
0.0263
0.0527
0.0184
0.0065
0.0057
building
0.0228
0.9045
0.0640
0.0067
0.0006
0.0014
low_veg
0.0530
0.0068
0.8623
0.0689
0.0011
0.0080
tree
0.0385
0.0060
0.2205
0.7279
0.0049
0.0024
car
0.0789
0.0158
0.0114
0.0156
0.8705
0.0077
clutter
0.1705
0.0914
0.2779
0.0600
0.0137
0.3864
Precision/Correctness
0.914
0.922
0.598
0.832
0.860
0.845
Recall/Completeness
0.891
0.904
0.862
0.728
0.871
0.386
F1
0.902
0.913
0.706
0.777
0.865
0.530

Overall accuracy 0.834

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
0.9164
0.0219
0.0414
0.0144
0.0012
0.0047
building
0.0191
0.9113
0.0624
0.0056
0.0005
0.0011
low_veg
0.0419
0.0030
0.8850
0.0625
0.0002
0.0075
tree
0.0309
0.0048
0.2029
0.7553
0.0039
0.0021
car
0.0228
0.0160
0.0042
0.0106
0.9380
0.0084
clutter
0.1653
0.0907
0.2678
0.0589
0.0133
0.4040
Precision/Correctness
0.931
0.935
0.613
0.859
0.920
0.869
Recall/Completeness
0.916
0.911
0.885
0.755
0.938
0.404
F1
0.924
0.923
0.724
0.804
0.929
0.552

Overall accuracy 0.856

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
0.9147
0.0417
0.0103
0.0271
0.0017
0.0044
building
0.0528
0.9290
0.0033
0.0046
0.0006
0.0098
low_veg
0.0692
0.0224
0.7032
0.2029
0.0005
0.0017
tree
0.0274
0.0072
0.1068
0.8576
0.0007
0.0003
car
0.1228
0.0367
0.0022
0.0317
0.8035
0.0031
clutter
0.4869
0.0277
0.0245
0.0457
0.0055
0.4097
Precision/Correctness
0.872
0.887
0.812
0.628
0.875
0.889
Recall/Completeness
0.915
0.929
0.703
0.858
0.804
0.410
F1
0.893
0.907
0.754
0.725
0.838
0.561

Overall accuracy 0.845

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
0.9302
0.0376
0.0075
0.0201
0.0004
0.0042
building
0.0507
0.9328
0.0028
0.0034
0.0006
0.0096
low_veg
0.0559
0.0168
0.7315
0.1942
0.0001
0.0015
tree
0.0174
0.0054
0.1012
0.8754
0.0004
0.0002
car
0.0518
0.0416
0.0011
0.0225
0.8802
0.0028
clutter
0.4831
0.0246
0.0230
0.0455
0.0049
0.4188
Precision/Correctness
0.880
0.901
0.834
0.654
0.921
0.896
Recall/Completeness
0.930
0.933
0.731
0.875
0.880
0.419
F1
0.905
0.917
0.780
0.749
0.900
0.571

Overall accuracy 0.860

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image