Detailled semantic labeling (2D) result


Name Yansong Liu et al.
Affiliation Rochester Institute of Technology
Abbreviation RIT_L5
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
0.896
0.037
0.037
0.022
0.003
0.004
building
0.022
0.954
0.015
0.007
0.000
0.002
low_veg
0.056
0.024
0.835
0.080
0.000
0.005
tree
0.049
0.008
0.162
0.776
0.003
0.002
car
0.122
0.025
0.006
0.019
0.825
0.004
clutter
0.364
0.166
0.164
0.062
0.011
0.234
Precision/Correctness
0.864
0.897
0.776
0.822
0.884
0.776
Recall/Completeness
0.896
0.954
0.835
0.776
0.825
0.234
F1
0.880
0.924
0.805
0.798
0.854
0.360

Overall accuracy 0.845

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
0.919
0.031
0.030
0.017
0.001
0.003
building
0.019
0.959
0.013
0.006
0.000
0.002
low_veg
0.044
0.016
0.863
0.072
0.000
0.004
tree
0.040
0.007
0.148
0.802
0.002
0.002
car
0.046
0.026
0.003
0.014
0.907
0.004
clutter
0.372
0.146
0.153
0.060
0.010
0.258
Precision/Correctness
0.886
0.919
0.800
0.850
0.929
0.801
Recall/Completeness
0.919
0.959
0.863
0.802
0.907
0.258
F1
0.902
0.939
0.830
0.825
0.918
0.391

Overall accuracy 0.869
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9051
0.0366
0.0276
0.0190
0.0028
0.0089
building
0.0165
0.9305
0.0202
0.0303
0.0004
0.0021
low_veg
0.0732
0.0240
0.8179
0.0689
0.0003
0.0157
tree
0.0518
0.0139
0.1685
0.7595
0.0018
0.0045
car
0.1455
0.0363
0.0059
0.0147
0.7905
0.0071
clutter
0.1981
0.2842
0.1247
0.0623
0.0370
0.2937
Precision/Correctness
0.839
0.871
0.826
0.844
0.825
0.401
Recall/Completeness
0.905
0.931
0.818
0.760
0.791
0.294
F1
0.871
0.900
0.822
0.800
0.807
0.339

Overall accuracy 0.836

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
0.9304
0.0280
0.0197
0.0136
0.0005
0.0079
building
0.0131
0.9374
0.0184
0.0292
0.0003
0.0015
low_veg
0.0652
0.0168
0.8441
0.0585
0.0001
0.0153
tree
0.0434
0.0121
0.1476
0.7916
0.0013
0.0040
car
0.0744
0.0402
0.0041
0.0113
0.8622
0.0079
clutter
0.1585
0.2952
0.0980
0.0529
0.0414
0.3541
Precision/Correctness
0.866
0.903
0.852
0.870
0.881
0.391
Recall/Completeness
0.930
0.937
0.844
0.792
0.862
0.354
F1
0.897
0.920
0.848
0.829
0.871
0.372

Overall accuracy 0.864

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
0.8948
0.0200
0.0652
0.0167
0.0023
0.0009
building
0.0066
0.9712
0.0089
0.0113
0.0007
0.0013
low_veg
0.0280
0.0105
0.9194
0.0395
0.0001
0.0025
tree
0.0281
0.0060
0.2228
0.7411
0.0009
0.0011
car
0.1014
0.0635
0.0055
0.0137
0.8106
0.0053
clutter
0.1551
0.3023
0.1989
0.0952
0.0419
0.2066
Precision/Correctness
0.856
0.859
0.807
0.929
0.840
0.307
Recall/Completeness
0.895
0.971
0.919
0.741
0.811
0.207
F1
0.875
0.911
0.860
0.825
0.825
0.247

Overall accuracy 0.853

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
0.9234
0.0148
0.0497
0.0111
0.0003
0.0006
building
0.0045
0.9797
0.0061
0.0084
0.0005
0.0008
low_veg
0.0208
0.0077
0.9368
0.0323
0.0001
0.0023
tree
0.0241
0.0051
0.2075
0.7616
0.0007
0.0010
car
0.0389
0.0738
0.0026
0.0078
0.8717
0.0052
clutter
0.1208
0.3249
0.1676
0.1103
0.0433
0.2330
Precision/Correctness
0.883
0.890
0.824
0.945
0.900
0.282
Recall/Completeness
0.923
0.980
0.937
0.762
0.872
0.233
F1
0.903
0.933
0.877
0.843
0.886
0.255

Overall accuracy 0.873

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
0.8693
0.0485
0.0478
0.0269
0.0037
0.0038
building
0.0159
0.9701
0.0058
0.0061
0.0003
0.0018
low_veg
0.0557
0.0487
0.8130
0.0793
0.0003
0.0031
tree
0.0368
0.0109
0.1307
0.8174
0.0031
0.0011
car
0.1388
0.0222
0.0027
0.0246
0.8107
0.0010
clutter
0.3330
0.2314
0.2402
0.0603
0.0182
0.1170
Precision/Correctness
0.860
0.883
0.792
0.869
0.863
0.538
Recall/Completeness
0.869
0.970
0.813
0.817
0.811
0.117
F1
0.865
0.924
0.802
0.842
0.836
0.192

Overall accuracy 0.850

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
0.9002
0.0390
0.0370
0.0197
0.0007
0.0034
building
0.0136
0.9758
0.0041
0.0049
0.0002
0.0014
low_veg
0.0446
0.0357
0.8490
0.0684
0.0001
0.0021
tree
0.0296
0.0092
0.1145
0.8432
0.0026
0.0009
car
0.0559
0.0246
0.0009
0.0177
0.9004
0.0006
clutter
0.3507
0.2263
0.2125
0.0552
0.0221
0.1332
Precision/Correctness
0.890
0.912
0.822
0.897
0.907
0.563
Recall/Completeness
0.900
0.976
0.849
0.843
0.900
0.133
F1
0.895
0.943
0.835
0.869
0.903
0.215

Overall accuracy 0.881

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
0.8605
0.0540
0.0538
0.0246
0.0037
0.0034
building
0.0079
0.9756
0.0106
0.0045
0.0002
0.0011
low_veg
0.0405
0.0286
0.8754
0.0539
0.0001
0.0015
tree
0.0332
0.0103
0.2304
0.7213
0.0017
0.0032
car
0.1140
0.0358
0.0042
0.0356
0.8048
0.0057
clutter
0.2607
0.2597
0.1533
0.0671
0.0109
0.2482
Precision/Correctness
0.856
0.877
0.753
0.889
0.856
0.770
Recall/Completeness
0.860
0.976
0.875
0.721
0.805
0.248
F1
0.858
0.924
0.810
0.796
0.829
0.375

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
0.8935
0.0442
0.0411
0.0175
0.0006
0.0031
building
0.0061
0.9804
0.0093
0.0034
0.0001
0.0008
low_veg
0.0291
0.0199
0.9067
0.0432
0.0000
0.0011
tree
0.0282
0.0088
0.2155
0.7432
0.0015
0.0028
car
0.0482
0.0359
0.0023
0.0262
0.8818
0.0056
clutter
0.2547
0.2528
0.1206
0.0618
0.0116
0.2985
Precision/Correctness
0.887
0.905
0.775
0.917
0.908
0.800
Recall/Completeness
0.894
0.980
0.907
0.743
0.882
0.298
F1
0.890
0.941
0.835
0.821
0.895
0.435

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
0.8988
0.0394
0.0325
0.0255
0.0026
0.0013
building
0.0173
0.9667
0.0084
0.0071
0.0001
0.0004
low_veg
0.0575
0.0333
0.7869
0.1201
0.0003
0.0018
tree
0.0482
0.0054
0.0824
0.8615
0.0018
0.0007
car
0.1378
0.0150
0.0071
0.0319
0.8072
0.0009
clutter
0.4933
0.1950
0.1610
0.1013
0.0087
0.0407
Precision/Correctness
0.828
0.912
0.769
0.759
0.913
0.752
Recall/Completeness
0.899
0.967
0.787
0.862
0.807
0.041
F1
0.862
0.939
0.778
0.807
0.857
0.077

Overall accuracy 0.840

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
0.9241
0.0303
0.0248
0.0192
0.0005
0.0011
building
0.0146
0.9729
0.0064
0.0057
0.0001
0.0003
low_veg
0.0449
0.0218
0.8213
0.1104
0.0001
0.0015
tree
0.0360
0.0035
0.0684
0.8903
0.0013
0.0006
car
0.0528
0.0137
0.0022
0.0224
0.9079
0.0010
clutter
0.5271
0.1751
0.1477
0.0974
0.0092
0.0435
Precision/Correctness
0.852
0.935
0.806
0.793
0.947
0.779
Recall/Completeness
0.924
0.973
0.821
0.890
0.908
0.044
F1
0.886
0.954
0.813
0.839
0.927
0.082

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
0.8689
0.0365
0.0621
0.0201
0.0050
0.0075
building
0.0156
0.9715
0.0050
0.0064
0.0004
0.0012
low_veg
0.1080
0.0254
0.7338
0.1246
0.0006
0.0076
tree
0.0450
0.0079
0.1539
0.7865
0.0027
0.0040
car
0.1047
0.0233
0.0047
0.0274
0.8308
0.0090
clutter
0.5882
0.0747
0.1374
0.0261
0.0023
0.1712
Precision/Correctness
0.695
0.889
0.739
0.795
0.896
0.777
Recall/Completeness
0.869
0.971
0.734
0.786
0.831
0.171
F1
0.772
0.928
0.737
0.791
0.862
0.281

Overall accuracy 0.773

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
0.8905
0.0300
0.0560
0.0155
0.0009
0.0070
building
0.0129
0.9773
0.0036
0.0050
0.0003
0.0010
low_veg
0.0937
0.0179
0.7614
0.1200
0.0002
0.0069
tree
0.0363
0.0063
0.1367
0.8147
0.0022
0.0038
car
0.0460
0.0241
0.0024
0.0205
0.8983
0.0087
clutter
0.6083
0.0696
0.1226
0.0216
0.0017
0.1762
Precision/Correctness
0.708
0.911
0.762
0.818
0.948
0.801
Recall/Completeness
0.891
0.977
0.761
0.815
0.898
0.176
F1
0.789
0.943
0.762
0.816
0.923
0.289

Overall accuracy 0.794

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
0.8948
0.0465
0.0416
0.0116
0.0028
0.0027
building
0.0132
0.9563
0.0227
0.0059
0.0005
0.0014
low_veg
0.0654
0.0415
0.8362
0.0535
0.0008
0.0027
tree
0.0902
0.0101
0.1775
0.7115
0.0064
0.0043
car
0.1273
0.0391
0.0071
0.0100
0.8143
0.0021
clutter
0.3004
0.3320
0.1515
0.0571
0.0120
0.1470
Precision/Correctness
0.889
0.896
0.738
0.847
0.890
0.637
Recall/Completeness
0.895
0.956
0.836
0.711
0.814
0.147
F1
0.892
0.925
0.784
0.774
0.850
0.239

Overall accuracy 0.857

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
0.9156
0.0383
0.0348
0.0088
0.0005
0.0020
building
0.0112
0.9608
0.0214
0.0050
0.0004
0.0012
low_veg
0.0448
0.0298
0.8771
0.0463
0.0003
0.0016
tree
0.0755
0.0083
0.1571
0.7498
0.0052
0.0041
car
0.0455
0.0435
0.0015
0.0045
0.9030
0.0019
clutter
0.2997
0.3444
0.1319
0.0544
0.0118
0.1579
Precision/Correctness
0.917
0.918
0.765
0.878
0.930
0.667
Recall/Completeness
0.916
0.961
0.877
0.750
0.903
0.158
F1
0.916
0.939
0.818
0.809
0.916
0.255

Overall accuracy 0.885

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
0.8862
0.0406
0.0384
0.0301
0.0024
0.0023
building
0.0141
0.9685
0.0109
0.0054
0.0001
0.0009
low_veg
0.0489
0.0225
0.8236
0.1011
0.0010
0.0029
tree
0.0622
0.0075
0.1344
0.7914
0.0027
0.0019
car
0.1479
0.0227
0.0015
0.0096
0.8141
0.0042
clutter
0.2394
0.4126
0.1576
0.0521
0.0157
0.1228
Precision/Correctness
0.901
0.894
0.807
0.749
0.919
0.670
Recall/Completeness
0.886
0.969
0.824
0.791
0.814
0.123
F1
0.893
0.930
0.815
0.770
0.863
0.208

Overall accuracy 0.859

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
0.9090
0.0319
0.0328
0.0245
0.0003
0.0014
building
0.0121
0.9728
0.0097
0.0044
0.0001
0.0008
low_veg
0.0442
0.0158
0.8447
0.0923
0.0009
0.0021
tree
0.0477
0.0056
0.1207
0.8221
0.0022
0.0017
car
0.0591
0.0254
0.0006
0.0066
0.9042
0.0041
clutter
0.2132
0.4326
0.1466
0.0548
0.0177
0.1351
Precision/Correctness
0.925
0.918
0.834
0.777
0.949
0.704
Recall/Completeness
0.909
0.973
0.845
0.822
0.904
0.135
F1
0.917
0.945
0.839
0.799
0.926
0.227

Overall accuracy 0.885

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
0.9125
0.0206
0.0339
0.0254
0.0024
0.0053
building
0.0172
0.9739
0.0047
0.0030
0.0002
0.0008
low_veg
0.0766
0.0214
0.7946
0.1031
0.0006
0.0037
tree
0.0677
0.0094
0.1004
0.8157
0.0045
0.0022
car
0.1308
0.0221
0.0129
0.0211
0.8084
0.0047
clutter
0.2363
0.2299
0.1710
0.1079
0.0111
0.2438
Precision/Correctness
0.825
0.894
0.801
0.793
0.865
0.863
Recall/Completeness
0.912
0.974
0.795
0.816
0.808
0.244
F1
0.866
0.932
0.798
0.804
0.836
0.380

Overall accuracy 0.835

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
0.9339
0.0155
0.0256
0.0199
0.0005
0.0047
building
0.0157
0.9776
0.0032
0.0025
0.0002
0.0008
low_veg
0.0612
0.0153
0.8230
0.0971
0.0003
0.0032
tree
0.0567
0.0080
0.0911
0.8384
0.0038
0.0020
car
0.0438
0.0219
0.0099
0.0154
0.9039
0.0050
clutter
0.2295
0.1964
0.1691
0.1144
0.0109
0.2797
Precision/Correctness
0.853
0.920
0.826
0.816
0.898
0.882
Recall/Completeness
0.934
0.978
0.823
0.838
0.904
0.280
F1
0.891
0.948
0.824
0.827
0.901
0.425

Overall accuracy 0.861

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
0.9033
0.0195
0.0443
0.0251
0.0024
0.0055
building
0.0352
0.9353
0.0171
0.0103
0.0005
0.0016
low_veg
0.0616
0.0182
0.7913
0.1220
0.0002
0.0066
tree
0.0456
0.0069
0.1059
0.8379
0.0028
0.0008
car
0.1555
0.0127
0.0060
0.0160
0.8093
0.0006
clutter
0.3603
0.1587
0.1664
0.0369
0.0112
0.2665
Precision/Correctness
0.874
0.911
0.711
0.747
0.906
0.836
Recall/Completeness
0.903
0.935
0.791
0.838
0.809
0.267
F1
0.888
0.923
0.749
0.790
0.855
0.404

Overall accuracy 0.841

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
0.9215
0.0139
0.0379
0.0208
0.0006
0.0053
building
0.0305
0.9437
0.0155
0.0088
0.0004
0.0012
low_veg
0.0420
0.0121
0.8229
0.1164
0.0001
0.0065
tree
0.0355
0.0050
0.0955
0.8610
0.0024
0.0006
car
0.0695
0.0141
0.0019
0.0128
0.9012
0.0006
clutter
0.3737
0.1172
0.1635
0.0350
0.0113
0.2993
Precision/Correctness
0.895
0.939
0.734
0.774
0.934
0.852
Recall/Completeness
0.922
0.944
0.823
0.861
0.901
0.299
F1
0.908
0.941
0.776
0.815
0.917
0.443

Overall accuracy 0.865

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
0.9165
0.0388
0.0256
0.0158
0.0017
0.0016
building
0.0327
0.9330
0.0287
0.0032
0.0003
0.0021
low_veg
0.0255
0.0105
0.9226
0.0411
0.0001
0.0003
tree
0.1004
0.0025
0.1290
0.7657
0.0018
0.0006
car
0.1001
0.0632
0.0014
0.0048
0.8270
0.0035
clutter
0.5709
0.0683
0.1886
0.0540
0.0063
0.1120
Precision/Correctness
0.899
0.920
0.859
0.838
0.906
0.640
Recall/Completeness
0.916
0.933
0.923
0.766
0.827
0.112
F1
0.908
0.926
0.890
0.800
0.865
0.191

Overall accuracy 0.887

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
0.9354
0.0337
0.0185
0.0111
0.0003
0.0010
building
0.0298
0.9387
0.0270
0.0024
0.0002
0.0019
low_veg
0.0178
0.0056
0.9415
0.0350
0.0000
0.0001
tree
0.0816
0.0016
0.1178
0.7972
0.0014
0.0004
car
0.0267
0.0718
0.0010
0.0034
0.8936
0.0036
clutter
0.6011
0.0589
0.1740
0.0523
0.0051
0.1086
Precision/Correctness
0.916
0.936
0.879
0.868
0.955
0.673
Recall/Completeness
0.935
0.939
0.941
0.797
0.894
0.109
F1
0.926
0.937
0.909
0.831
0.923
0.187

Overall accuracy 0.906

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
0.9262
0.0260
0.0282
0.0137
0.0047
0.0012
building
0.0504
0.9363
0.0040
0.0058
0.0008
0.0028
low_veg
0.0667
0.0227
0.8318
0.0770
0.0007
0.0011
tree
0.0647
0.0070
0.1137
0.8081
0.0057
0.0009
car
0.1071
0.0091
0.0034
0.0164
0.8626
0.0013
clutter
0.3608
0.2794
0.1975
0.0582
0.0223
0.0817
Precision/Correctness
0.893
0.930
0.822
0.786
0.893
0.543
Recall/Completeness
0.926
0.936
0.832
0.808
0.863
0.082
F1
0.909
0.933
0.827
0.797
0.878
0.142

Overall accuracy 0.882

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
0.9458
0.0200
0.0221
0.0106
0.0006
0.0010
building
0.0476
0.9418
0.0023
0.0051
0.0005
0.0026
low_veg
0.0499
0.0132
0.8662
0.0699
0.0001
0.0006
tree
0.0541
0.0053
0.1015
0.8335
0.0048
0.0009
car
0.0366
0.0077
0.0013
0.0123
0.9409
0.0013
clutter
0.3518
0.3024
0.1862
0.0545
0.0212
0.0839
Precision/Correctness
0.912
0.946
0.849
0.817
0.947
0.555
Recall/Completeness
0.946
0.942
0.866
0.833
0.941
0.084
F1
0.929
0.944
0.858
0.825
0.944
0.146

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_15_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9027
0.0172
0.0502
0.0185
0.0057
0.0057
building
0.0185
0.9137
0.0588
0.0072
0.0006
0.0012
low_veg
0.0548
0.0057
0.8641
0.0661
0.0010
0.0083
tree
0.0376
0.0054
0.2312
0.7187
0.0047
0.0023
car
0.0871
0.0148
0.0107
0.0155
0.8639
0.0079
clutter
0.2175
0.0637
0.2567
0.0586
0.0139
0.3896
Precision/Correctness
0.909
0.944
0.604
0.833
0.868
0.846
Recall/Completeness
0.903
0.914
0.864
0.719
0.864
0.390
F1
0.906
0.929
0.711
0.772
0.866
0.533

Overall accuracy 0.839

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
0.9269
0.0126
0.0402
0.0145
0.0011
0.0047
building
0.0144
0.9206
0.0575
0.0062
0.0004
0.0010
low_veg
0.0405
0.0020
0.8894
0.0601
0.0002
0.0078
tree
0.0302
0.0041
0.2136
0.7463
0.0038
0.0020
car
0.0237
0.0156
0.0036
0.0104
0.9380
0.0087
clutter
0.2123
0.0627
0.2465
0.0576
0.0136
0.4074
Precision/Correctness
0.928
0.958
0.618
0.859
0.923
0.869
Recall/Completeness
0.927
0.921
0.889
0.746
0.938
0.407
F1
0.928
0.939
0.729
0.799
0.931
0.555

Overall accuracy 0.861

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
0.8852
0.0677
0.0110
0.0287
0.0019
0.0054
building
0.0260
0.9569
0.0031
0.0043
0.0009
0.0088
low_veg
0.0529
0.0332
0.7155
0.1959
0.0006
0.0019
tree
0.0226
0.0118
0.1073
0.8573
0.0007
0.0003
car
0.0920
0.0346
0.0029
0.0318
0.8342
0.0044
clutter
0.3277
0.0340
0.1093
0.0607
0.0063
0.4620
Precision/Correctness
0.909
0.838
0.748
0.620
0.860
0.895
Recall/Completeness
0.885
0.957
0.716
0.857
0.834
0.462
F1
0.897
0.894
0.731
0.719
0.847
0.609

Overall accuracy 0.843

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
0.9013
0.0640
0.0077
0.0215
0.0004
0.0051
building
0.0245
0.9604
0.0026
0.0031
0.0009
0.0085
low_veg
0.0404
0.0280
0.7430
0.1869
0.0002
0.0015
tree
0.0140
0.0099
0.1008
0.8747
0.0004
0.0002
car
0.0278
0.0397
0.0017
0.0226
0.9038
0.0043
clutter
0.3206
0.0315
0.1097
0.0607
0.0056
0.4720
Precision/Correctness
0.918
0.850
0.765
0.645
0.908
0.903
Recall/Completeness
0.901
0.960
0.743
0.875
0.904
0.472
F1
0.910
0.902
0.754
0.742
0.906
0.620

Overall accuracy 0.858

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image