Detailled semantic labeling (2D) result


Name Yansong Liu et al.
Affiliation Rochester Institute of Technology
Abbreviation RIT_L6
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
0.895
0.032
0.040
0.018
0.004
0.011
building
0.036
0.936
0.014
0.004
0.001
0.008
low_veg
0.045
0.014
0.865
0.066
0.000
0.010
tree
0.037
0.005
0.155
0.793
0.002
0.008
car
0.094
0.023
0.007
0.016
0.844
0.017
clutter
0.314
0.153
0.168
0.032
0.011
0.323
Precision/Correctness
0.874
0.914
0.783
0.857
0.881
0.622
Recall/Completeness
0.895
0.936
0.865
0.793
0.844
0.323
F1
0.884
0.925
0.822
0.824
0.862
0.425

Overall accuracy 0.854

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
0.918
0.026
0.032
0.013
0.001
0.010
building
0.033
0.944
0.012
0.003
0.001
0.007
low_veg
0.032
0.008
0.893
0.058
0.000
0.009
tree
0.028
0.004
0.140
0.820
0.002
0.007
car
0.030
0.024
0.003
0.010
0.917
0.016
clutter
0.318
0.136
0.154
0.028
0.011
0.353
Precision/Correctness
0.896
0.934
0.808
0.884
0.932
0.649
Recall/Completeness
0.918
0.944
0.893
0.820
0.917
0.353
F1
0.907
0.939
0.848
0.851
0.924
0.457

Overall accuracy 0.878
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8947
0.0252
0.0433
0.0115
0.0032
0.0221
building
0.0666
0.8786
0.0281
0.0114
0.0011
0.0142
low_veg
0.0381
0.0116
0.8757
0.0430
0.0002
0.0313
tree
0.0400
0.0081
0.1648
0.7691
0.0013
0.0167
car
0.1031
0.0442
0.0073
0.0093
0.8034
0.0327
clutter
0.1639
0.2517
0.1560
0.0277
0.0252
0.3755
Precision/Correctness
0.854
0.905
0.823
0.906
0.835
0.249
Recall/Completeness
0.895
0.879
0.876
0.769
0.803
0.375
F1
0.874
0.892
0.848
0.832
0.819
0.299

Overall accuracy 0.846

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
0.9222
0.0186
0.0322
0.0069
0.0004
0.0196
building
0.0626
0.8885
0.0247
0.0105
0.0011
0.0126
low_veg
0.0296
0.0062
0.9004
0.0330
0.0001
0.0308
tree
0.0313
0.0066
0.1422
0.8029
0.0009
0.0160
car
0.0464
0.0511
0.0029
0.0048
0.8603
0.0344
clutter
0.1314
0.2568
0.1174
0.0225
0.0300
0.4420
Precision/Correctness
0.881
0.934
0.852
0.930
0.891
0.234
Recall/Completeness
0.922
0.889
0.900
0.803
0.860
0.442
F1
0.901
0.911
0.875
0.862
0.875
0.306

Overall accuracy 0.874

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
0.8843
0.0118
0.0846
0.0096
0.0026
0.0071
building
0.0225
0.9474
0.0125
0.0064
0.0003
0.0108
low_veg
0.0161
0.0053
0.9477
0.0254
0.0001
0.0054
tree
0.0210
0.0036
0.2459
0.7187
0.0008
0.0100
car
0.0809
0.0471
0.0079
0.0135
0.8323
0.0183
clutter
0.1105
0.3173
0.2467
0.0617
0.0278
0.2360
Precision/Correctness
0.891
0.907
0.793
0.953
0.857
0.099
Recall/Completeness
0.884
0.947
0.948
0.719
0.832
0.236
F1
0.888
0.927
0.863
0.819
0.844
0.139

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
0.9182
0.0072
0.0625
0.0056
0.0003
0.0062
building
0.0204
0.9591
0.0073
0.0044
0.0002
0.0087
low_veg
0.0105
0.0030
0.9615
0.0200
0.0001
0.0049
tree
0.0172
0.0030
0.2286
0.7408
0.0005
0.0099
car
0.0268
0.0558
0.0038
0.0088
0.8870
0.0179
clutter
0.0977
0.3641
0.1880
0.0739
0.0313
0.2450
Precision/Correctness
0.917
0.936
0.811
0.965
0.922
0.080
Recall/Completeness
0.918
0.959
0.961
0.741
0.887
0.245
F1
0.918
0.947
0.880
0.838
0.904
0.121

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
0.8765
0.0249
0.0603
0.0179
0.0044
0.0159
building
0.0320
0.9450
0.0093
0.0042
0.0004
0.0090
low_veg
0.0504
0.0245
0.8540
0.0607
0.0002
0.0101
tree
0.0309
0.0068
0.1222
0.8310
0.0025
0.0067
car
0.1095
0.0152
0.0044
0.0203
0.8406
0.0100
clutter
0.3180
0.1702
0.2764
0.0295
0.0125
0.1933
Precision/Correctness
0.859
0.929
0.790
0.903
0.872
0.309
Recall/Completeness
0.877
0.945
0.854
0.831
0.841
0.193
F1
0.868
0.937
0.821
0.865
0.856
0.238

Overall accuracy 0.861

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
0.9068
0.0177
0.0491
0.0115
0.0006
0.0142
building
0.0279
0.9547
0.0065
0.0031
0.0003
0.0075
low_veg
0.0385
0.0139
0.8892
0.0502
0.0001
0.0081
tree
0.0231
0.0053
0.1040
0.8595
0.0020
0.0061
car
0.0379
0.0172
0.0021
0.0146
0.9191
0.0092
clutter
0.3385
0.1657
0.2429
0.0223
0.0149
0.2157
Precision/Correctness
0.889
0.953
0.823
0.929
0.927
0.310
Recall/Completeness
0.907
0.955
0.889
0.860
0.919
0.216
F1
0.898
0.954
0.855
0.893
0.923
0.254

Overall accuracy 0.892

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
0.8622
0.0354
0.0613
0.0192
0.0041
0.0177
building
0.0273
0.9558
0.0091
0.0037
0.0003
0.0039
low_veg
0.0335
0.0159
0.9051
0.0399
0.0001
0.0056
tree
0.0277
0.0043
0.2376
0.7174
0.0012
0.0118
car
0.0929
0.0358
0.0076
0.0276
0.8191
0.0171
clutter
0.2428
0.2199
0.1802
0.0378
0.0069
0.3124
Precision/Correctness
0.855
0.913
0.750
0.915
0.869
0.503
Recall/Completeness
0.862
0.956
0.905
0.717
0.819
0.312
F1
0.859
0.934
0.820
0.804
0.843
0.385

Overall accuracy 0.840

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
0.8942
0.0277
0.0478
0.0131
0.0006
0.0166
building
0.0243
0.9631
0.0065
0.0027
0.0002
0.0031
low_veg
0.0221
0.0089
0.9340
0.0306
0.0000
0.0043
tree
0.0223
0.0032
0.2215
0.7408
0.0010
0.0112
car
0.0293
0.0373
0.0050
0.0196
0.8925
0.0164
clutter
0.2357
0.2119
0.1437
0.0319
0.0072
0.3696
Precision/Correctness
0.886
0.938
0.773
0.940
0.929
0.529
Recall/Completeness
0.894
0.963
0.934
0.741
0.892
0.370
F1
0.890
0.950
0.846
0.828
0.911
0.435

Overall accuracy 0.867

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
0.9166
0.0203
0.0325
0.0236
0.0028
0.0042
building
0.0222
0.9594
0.0096
0.0052
0.0003
0.0033
low_veg
0.0533
0.0172
0.8171
0.1085
0.0002
0.0037
tree
0.0375
0.0039
0.0612
0.8935
0.0015
0.0024
car
0.1100
0.0093
0.0097
0.0258
0.8357
0.0095
clutter
0.4854
0.1531
0.1877
0.0643
0.0078
0.1017
Precision/Correctness
0.834
0.942
0.778
0.795
0.915
0.666
Recall/Completeness
0.917
0.959
0.817
0.894
0.836
0.102
F1
0.873
0.951
0.797
0.841
0.874
0.176

Overall accuracy 0.856

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
0.9400
0.0141
0.0247
0.0173
0.0004
0.0034
building
0.0174
0.9691
0.0067
0.0039
0.0002
0.0027
low_veg
0.0400
0.0077
0.8519
0.0974
0.0000
0.0031
tree
0.0257
0.0023
0.0468
0.9221
0.0010
0.0021
car
0.0346
0.0084
0.0032
0.0168
0.9294
0.0075
clutter
0.5076
0.1354
0.1799
0.0566
0.0085
0.1119
Precision/Correctness
0.860
0.960
0.815
0.831
0.951
0.709
Recall/Completeness
0.940
0.969
0.852
0.922
0.929
0.112
F1
0.898
0.965
0.833
0.874
0.940
0.193

Overall accuracy 0.885

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
0.8661
0.0259
0.0708
0.0154
0.0048
0.0170
building
0.0231
0.9597
0.0066
0.0053
0.0004
0.0048
low_veg
0.0849
0.0188
0.7991
0.0806
0.0005
0.0160
tree
0.0356
0.0060
0.1534
0.7965
0.0021
0.0065
car
0.0891
0.0200
0.0057
0.0259
0.8322
0.0271
clutter
0.4806
0.0695
0.1871
0.0144
0.0023
0.2461
Precision/Correctness
0.733
0.909
0.733
0.855
0.903
0.692
Recall/Completeness
0.866
0.960
0.799
0.796
0.832
0.246
F1
0.794
0.934
0.765
0.825
0.866
0.363

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_14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8882
0.0207
0.0639
0.0107
0.0006
0.0158
building
0.0193
0.9680
0.0043
0.0041
0.0004
0.0039
low_veg
0.0713
0.0123
0.8274
0.0739
0.0002
0.0149
tree
0.0272
0.0047
0.1339
0.8268
0.0016
0.0058
car
0.0321
0.0208
0.0023
0.0181
0.9003
0.0264
clutter
0.4952
0.0646
0.1753
0.0110
0.0018
0.2521
Precision/Correctness
0.747
0.929
0.755
0.879
0.956
0.722
Recall/Completeness
0.888
0.968
0.827
0.827
0.900
0.252
F1
0.812
0.948
0.790
0.852
0.927
0.374

Overall accuracy 0.816

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
0.8962
0.0332
0.0522
0.0053
0.0033
0.0098
building
0.0866
0.8706
0.0212
0.0037
0.0011
0.0167
low_veg
0.0647
0.0276
0.8662
0.0358
0.0005
0.0053
tree
0.0742
0.0062
0.1709
0.7365
0.0058
0.0064
car
0.1027
0.0250
0.0082
0.0055
0.8328
0.0258
clutter
0.2673
0.2867
0.1984
0.0229
0.0116
0.2131
Precision/Correctness
0.843
0.914
0.731
0.908
0.884
0.362
Recall/Completeness
0.896
0.871
0.866
0.737
0.833
0.213
F1
0.869
0.892
0.793
0.813
0.857
0.268

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_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9160
0.0263
0.0453
0.0033
0.0004
0.0086
building
0.0847
0.8761
0.0191
0.0030
0.0010
0.0162
low_veg
0.0428
0.0178
0.9058
0.0299
0.0000
0.0037
tree
0.0580
0.0046
0.1478
0.7793
0.0044
0.0058
car
0.0314
0.0266
0.0018
0.0020
0.9121
0.0260
clutter
0.2640
0.2925
0.1829
0.0199
0.0119
0.2288
Precision/Correctness
0.866
0.935
0.759
0.931
0.929
0.353
Recall/Completeness
0.916
0.876
0.906
0.779
0.912
0.229
F1
0.890
0.904
0.826
0.849
0.921
0.278

Overall accuracy 0.867

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
0.8965
0.0300
0.0329
0.0315
0.0031
0.0060
building
0.0181
0.9657
0.0082
0.0041
0.0001
0.0038
low_veg
0.0476
0.0184
0.8303
0.0993
0.0002
0.0042
tree
0.0427
0.0056
0.1126
0.8339
0.0024
0.0029
car
0.1066
0.0219
0.0019
0.0077
0.8494
0.0125
clutter
0.2330
0.3466
0.1628
0.0371
0.0284
0.1920
Precision/Correctness
0.909
0.914
0.830
0.763
0.904
0.575
Recall/Completeness
0.896
0.966
0.830
0.834
0.849
0.192
F1
0.903
0.939
0.830
0.797
0.876
0.288

Overall accuracy 0.872

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
0.9200
0.0224
0.0276
0.0250
0.0004
0.0046
building
0.0152
0.9712
0.0069
0.0033
0.0001
0.0034
low_veg
0.0415
0.0125
0.8533
0.0894
0.0001
0.0032
tree
0.0296
0.0040
0.0994
0.8624
0.0019
0.0027
car
0.0331
0.0231
0.0005
0.0050
0.9276
0.0106
clutter
0.2050
0.3502
0.1515
0.0379
0.0352
0.2201
Precision/Correctness
0.933
0.936
0.858
0.792
0.939
0.599
Recall/Completeness
0.920
0.971
0.853
0.862
0.928
0.220
F1
0.927
0.953
0.855
0.826
0.933
0.322

Overall accuracy 0.898

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
0.9094
0.0174
0.0335
0.0264
0.0029
0.0104
building
0.0216
0.9669
0.0065
0.0019
0.0008
0.0023
low_veg
0.0599
0.0107
0.8220
0.0930
0.0006
0.0138
tree
0.0471
0.0049
0.1023
0.8325
0.0038
0.0094
car
0.1005
0.0149
0.0131
0.0141
0.8282
0.0293
clutter
0.1941
0.2241
0.1451
0.0667
0.0109
0.3591
Precision/Correctness
0.852
0.908
0.811
0.820
0.863
0.759
Recall/Completeness
0.909
0.967
0.822
0.833
0.828
0.359
F1
0.880
0.936
0.817
0.826
0.845
0.488

Overall accuracy 0.850

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
0.9326
0.0130
0.0252
0.0204
0.0003
0.0084
building
0.0197
0.9716
0.0046
0.0015
0.0008
0.0019
low_veg
0.0444
0.0058
0.8496
0.0875
0.0002
0.0126
tree
0.0374
0.0038
0.0928
0.8549
0.0030
0.0082
car
0.0289
0.0139
0.0091
0.0088
0.9115
0.0278
clutter
0.1819
0.1986
0.1360
0.0680
0.0112
0.4044
Precision/Correctness
0.881
0.931
0.837
0.843
0.900
0.792
Recall/Completeness
0.933
0.972
0.850
0.855
0.912
0.404
F1
0.906
0.951
0.843
0.849
0.906
0.535

Overall accuracy 0.876

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
0.8789
0.0369
0.0485
0.0192
0.0029
0.0136
building
0.0269
0.9452
0.0156
0.0060
0.0004
0.0059
low_veg
0.0463
0.0111
0.8126
0.1153
0.0001
0.0146
tree
0.0346
0.0034
0.1010
0.8560
0.0021
0.0030
car
0.1127
0.0202
0.0081
0.0151
0.8308
0.0132
clutter
0.3116
0.1472
0.1301
0.0195
0.0071
0.3845
Precision/Correctness
0.893
0.894
0.724
0.784
0.916
0.736
Recall/Completeness
0.879
0.945
0.813
0.856
0.831
0.384
F1
0.886
0.919
0.766
0.818
0.871
0.505

Overall accuracy 0.847

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
0.8972
0.0323
0.0424
0.0149
0.0005
0.0125
building
0.0224
0.9539
0.0138
0.0046
0.0003
0.0050
low_veg
0.0260
0.0053
0.8445
0.1101
0.0000
0.0141
tree
0.0245
0.0019
0.0886
0.8806
0.0017
0.0026
car
0.0428
0.0213
0.0021
0.0120
0.9100
0.0118
clutter
0.3191
0.1117
0.1210
0.0174
0.0073
0.4234
Precision/Correctness
0.914
0.919
0.749
0.812
0.952
0.759
Recall/Completeness
0.897
0.954
0.845
0.881
0.910
0.423
F1
0.906
0.936
0.794
0.845
0.930
0.543

Overall accuracy 0.872

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
0.9162
0.0373
0.0243
0.0165
0.0017
0.0039
building
0.0409
0.9331
0.0173
0.0018
0.0012
0.0057
low_veg
0.0211
0.0072
0.9249
0.0456
0.0000
0.0012
tree
0.0720
0.0035
0.0883
0.8323
0.0016
0.0024
car
0.0884
0.0582
0.0024
0.0037
0.8126
0.0347
clutter
0.4848
0.0939
0.1990
0.0436
0.0094
0.1692
Precision/Correctness
0.909
0.923
0.887
0.844
0.882
0.475
Recall/Completeness
0.916
0.933
0.925
0.832
0.813
0.169
F1
0.913
0.928
0.905
0.838
0.846
0.250

Overall accuracy 0.896

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
0.9345
0.0333
0.0182
0.0109
0.0003
0.0028
building
0.0375
0.9406
0.0147
0.0012
0.0011
0.0049
low_veg
0.0121
0.0031
0.9451
0.0388
0.0000
0.0009
tree
0.0547
0.0022
0.0773
0.8625
0.0012
0.0020
car
0.0224
0.0664
0.0023
0.0021
0.8786
0.0281
clutter
0.5019
0.0906
0.1834
0.0414
0.0088
0.1739
Precision/Correctness
0.927
0.936
0.907
0.874
0.927
0.513
Recall/Completeness
0.934
0.941
0.945
0.863
0.879
0.174
F1
0.931
0.938
0.926
0.868
0.902
0.260

Overall accuracy 0.916

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
0.9336
0.0195
0.0246
0.0120
0.0070
0.0033
building
0.0402
0.9414
0.0064
0.0018
0.0012
0.0090
low_veg
0.0595
0.0140
0.8372
0.0862
0.0006
0.0025
tree
0.0432
0.0054
0.0849
0.8595
0.0042
0.0027
car
0.0702
0.0116
0.0032
0.0132
0.8925
0.0092
clutter
0.2859
0.2884
0.2531
0.0363
0.0228
0.1136
Precision/Correctness
0.914
0.942
0.834
0.805
0.871
0.350
Recall/Completeness
0.934
0.941
0.837
0.860
0.893
0.114
F1
0.924
0.942
0.836
0.831
0.882
0.171

Overall accuracy 0.894

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
0.9547
0.0141
0.0189
0.0088
0.0009
0.0026
building
0.0360
0.9494
0.0041
0.0012
0.0010
0.0083
low_veg
0.0410
0.0065
0.8717
0.0792
0.0001
0.0014
tree
0.0327
0.0038
0.0731
0.8846
0.0032
0.0025
car
0.0187
0.0100
0.0010
0.0085
0.9530
0.0088
clutter
0.2743
0.3105
0.2483
0.0321
0.0222
0.1125
Precision/Correctness
0.934
0.956
0.862
0.835
0.942
0.352
Recall/Completeness
0.955
0.949
0.872
0.885
0.953
0.113
F1
0.944
0.953
0.867
0.859
0.948
0.171

Overall accuracy 0.916

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
0.8699
0.0486
0.0421
0.0151
0.0068
0.0174
building
0.0179
0.9211
0.0523
0.0049
0.0004
0.0034
low_veg
0.0414
0.0090
0.8701
0.0686
0.0010
0.0098
tree
0.0296
0.0045
0.1674
0.7915
0.0035
0.0036
car
0.0723
0.0167
0.0102
0.0168
0.8739
0.0102
clutter
0.1445
0.0996
0.2139
0.0259
0.0172
0.4989
Precision/Correctness
0.927
0.888
0.658
0.866
0.859
0.755
Recall/Completeness
0.870
0.921
0.870
0.792
0.874
0.499
F1
0.898
0.904
0.749
0.827
0.866
0.601

Overall accuracy 0.848

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_potsdam_6_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8930
0.0452
0.0332
0.0110
0.0012
0.0164
building
0.0140
0.9288
0.0503
0.0039
0.0003
0.0026
low_veg
0.0240
0.0051
0.9019
0.0608
0.0002
0.0080
tree
0.0214
0.0031
0.1495
0.8203
0.0026
0.0031
car
0.0192
0.0158
0.0029
0.0114
0.9417
0.0091
clutter
0.1386
0.0980
0.2032
0.0233
0.0171
0.5198
Precision/Correctness
0.947
0.902
0.677
0.893
0.921
0.781
Recall/Completeness
0.893
0.929
0.902
0.820
0.942
0.520
F1
0.919
0.915
0.774
0.855
0.931
0.624

Overall accuracy 0.871

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
0.9003
0.0477
0.0119
0.0274
0.0025
0.0103
building
0.0509
0.9206
0.0036
0.0022
0.0003
0.0224
low_veg
0.0589
0.0111
0.7537
0.1732
0.0004
0.0026
tree
0.0219
0.0059
0.1043
0.8657
0.0006
0.0015
car
0.0708
0.0379
0.0030
0.0233
0.8559
0.0090
clutter
0.2936
0.0351
0.0793
0.0052
0.0073
0.5795
Precision/Correctness
0.906
0.877
0.776
0.676
0.851
0.831
Recall/Completeness
0.900
0.921
0.754
0.866
0.856
0.579
F1
0.903
0.898
0.765
0.759
0.853
0.683

Overall accuracy 0.858

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
0.9165
0.0442
0.0090
0.0200
0.0006
0.0098
building
0.0484
0.9252
0.0029
0.0013
0.0003
0.0219
low_veg
0.0466
0.0064
0.7822
0.1628
0.0001
0.0019
tree
0.0141
0.0042
0.0973
0.8828
0.0004
0.0012
car
0.0172
0.0420
0.0011
0.0154
0.9159
0.0084
clutter
0.2879
0.0322
0.0780
0.0045
0.0065
0.5910
Precision/Correctness
0.914
0.889
0.795
0.709
0.909
0.841
Recall/Completeness
0.916
0.925
0.782
0.883
0.916
0.591
F1
0.915
0.907
0.788
0.786
0.913
0.694

Overall accuracy 0.873

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image