Detailled semantic labeling (2D) result


Name J. Wang
Affiliation Fac. of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China
Abbreviation SWJ_2
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
0.923
0.013
0.036
0.020
0.002
0.007
building
0.011
0.975
0.006
0.004
0.000
0.004
low_veg
0.030
0.009
0.881
0.071
0.000
0.008
tree
0.031
0.005
0.115
0.843
0.002
0.003
car
0.122
0.005
0.004
0.014
0.848
0.007
clutter
0.169
0.117
0.140
0.027
0.005
0.541
Precision/Correctness
0.923
0.950
0.827
0.858
0.933
0.823
Recall/Completeness
0.923
0.975
0.881
0.843
0.848
0.541
F1
0.923
0.963
0.853
0.851
0.889
0.653

Overall accuracy 0.894

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
0.943
0.008
0.029
0.014
0.000
0.006
building
0.008
0.983
0.004
0.003
0.000
0.003
low_veg
0.020
0.005
0.905
0.063
0.000
0.007
tree
0.023
0.004
0.100
0.868
0.002
0.003
car
0.045
0.005
0.002
0.010
0.932
0.007
clutter
0.154
0.100
0.124
0.023
0.005
0.594
Precision/Correctness
0.945
0.966
0.852
0.885
0.962
0.848
Recall/Completeness
0.943
0.983
0.905
0.868
0.932
0.594
F1
0.944
0.974
0.878
0.876
0.947
0.699

Overall accuracy 0.917
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9159
0.0202
0.0398
0.0148
0.0014
0.0079
building
0.0050
0.9708
0.0094
0.0127
0.0000
0.0023
low_veg
0.0224
0.0085
0.9014
0.0595
0.0002
0.0080
tree
0.0327
0.0088
0.1129
0.8412
0.0009
0.0035
car
0.1368
0.0072
0.0057
0.0125
0.8296
0.0083
clutter
0.1174
0.2343
0.1410
0.0386
0.0032
0.4655
Precision/Correctness
0.922
0.927
0.871
0.887
0.936
0.610
Recall/Completeness
0.916
0.971
0.901
0.841
0.830
0.465
F1
0.919
0.948
0.886
0.863
0.880
0.528

Overall accuracy 0.895

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
0.9399
0.0146
0.0302
0.0094
0.0002
0.0057
building
0.0021
0.9795
0.0054
0.0113
0.0000
0.0017
low_veg
0.0159
0.0046
0.9244
0.0479
0.0001
0.0071
tree
0.0246
0.0072
0.0944
0.8705
0.0006
0.0028
car
0.0595
0.0074
0.0029
0.0067
0.9146
0.0089
clutter
0.0867
0.2397
0.1044
0.0299
0.0033
0.5360
Precision/Correctness
0.948
0.949
0.897
0.913
0.970
0.625
Recall/Completeness
0.940
0.980
0.924
0.870
0.915
0.536
F1
0.944
0.964
0.911
0.891
0.941
0.577

Overall accuracy 0.921

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
0.9026
0.0070
0.0653
0.0136
0.0009
0.0106
building
0.0027
0.9740
0.0153
0.0059
0.0000
0.0020
low_veg
0.0113
0.0031
0.9334
0.0504
0.0000
0.0019
tree
0.0155
0.0034
0.1453
0.8335
0.0007
0.0016
car
0.1701
0.0003
0.0033
0.0111
0.8142
0.0011
clutter
0.0856
0.2926
0.2147
0.0894
0.0027
0.3150
Precision/Correctness
0.923
0.936
0.859
0.926
0.923
0.265
Recall/Completeness
0.903
0.974
0.933
0.834
0.814
0.315
F1
0.912
0.954
0.894
0.877
0.865
0.288

Overall accuracy 0.893

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
0.9328
0.0038
0.0452
0.0079
0.0003
0.0100
building
0.0008
0.9831
0.0110
0.0035
0.0000
0.0015
low_veg
0.0072
0.0014
0.9482
0.0418
0.0000
0.0014
tree
0.0118
0.0026
0.1300
0.8538
0.0005
0.0013
car
0.1076
0.0001
0.0007
0.0060
0.8853
0.0003
clutter
0.0555
0.3154
0.1877
0.1000
0.0014
0.3399
Precision/Correctness
0.946
0.959
0.878
0.942
0.950
0.247
Recall/Completeness
0.933
0.983
0.948
0.854
0.885
0.340
F1
0.939
0.971
0.912
0.896
0.917
0.286

Overall accuracy 0.912

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
0.9025
0.0248
0.0434
0.0218
0.0021
0.0054
building
0.0068
0.9806
0.0060
0.0037
0.0000
0.0030
low_veg
0.0410
0.0215
0.8665
0.0639
0.0001
0.0070
tree
0.0258
0.0084
0.1031
0.8579
0.0024
0.0023
car
0.1255
0.0053
0.0018
0.0178
0.8459
0.0038
clutter
0.1951
0.2098
0.2510
0.0260
0.0054
0.3127
Precision/Correctness
0.905
0.930
0.826
0.900
0.921
0.633
Recall/Completeness
0.903
0.981
0.866
0.858
0.846
0.313
F1
0.904
0.955
0.846
0.878
0.882
0.419

Overall accuracy 0.888

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
0.9297
0.0176
0.0336
0.0147
0.0001
0.0042
building
0.0050
0.9866
0.0034
0.0025
0.0000
0.0025
low_veg
0.0305
0.0122
0.8990
0.0529
0.0000
0.0054
tree
0.0186
0.0068
0.0870
0.8837
0.0019
0.0019
car
0.0527
0.0057
0.0002
0.0116
0.9261
0.0037
clutter
0.1831
0.2098
0.2224
0.0165
0.0059
0.3623
Precision/Correctness
0.933
0.953
0.856
0.926
0.956
0.662
Recall/Completeness
0.930
0.987
0.899
0.884
0.926
0.362
F1
0.931
0.969
0.877
0.904
0.941
0.468

Overall accuracy 0.916

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
0.8771
0.0282
0.0624
0.0253
0.0024
0.0046
building
0.0080
0.9825
0.0042
0.0046
0.0000
0.0008
low_veg
0.0179
0.0124
0.8975
0.0691
0.0000
0.0031
tree
0.0216
0.0043
0.1453
0.8249
0.0016
0.0023
car
0.1168
0.0258
0.0044
0.0301
0.8157
0.0072
clutter
0.1846
0.2136
0.2131
0.0288
0.0081
0.3519
Precision/Correctness
0.906
0.926
0.807
0.890
0.894
0.800
Recall/Completeness
0.877
0.982
0.897
0.825
0.816
0.352
F1
0.891
0.954
0.850
0.856
0.853
0.489

Overall accuracy 0.876

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
0.9078
0.0211
0.0494
0.0178
0.0004
0.0035
building
0.0065
0.9883
0.0013
0.0034
0.0000
0.0005
low_veg
0.0099
0.0070
0.9233
0.0579
0.0000
0.0020
tree
0.0169
0.0034
0.1297
0.8469
0.0013
0.0018
car
0.0480
0.0312
0.0023
0.0218
0.8880
0.0088
clutter
0.1747
0.2056
0.1898
0.0189
0.0099
0.4011
Precision/Correctness
0.933
0.947
0.833
0.915
0.924
0.842
Recall/Completeness
0.908
0.988
0.923
0.847
0.888
0.401
F1
0.920
0.967
0.876
0.880
0.906
0.543

Overall accuracy 0.901

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
0.9235
0.0079
0.0359
0.0267
0.0010
0.0049
building
0.0086
0.9763
0.0075
0.0050
0.0000
0.0026
low_veg
0.0293
0.0062
0.8455
0.1142
0.0001
0.0048
tree
0.0232
0.0026
0.0450
0.9258
0.0021
0.0013
car
0.1116
0.0002
0.0046
0.0236
0.8579
0.0020
clutter
0.3658
0.1136
0.2630
0.0737
0.0090
0.1748
Precision/Correctness
0.882
0.966
0.768
0.788
0.940
0.783
Recall/Completeness
0.924
0.976
0.846
0.926
0.858
0.175
F1
0.903
0.971
0.805
0.852
0.897
0.286

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_13_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9434
0.0042
0.0285
0.0199
0.0001
0.0040
building
0.0049
0.9857
0.0036
0.0037
0.0000
0.0021
low_veg
0.0206
0.0020
0.8695
0.1038
0.0000
0.0041
tree
0.0144
0.0014
0.0326
0.9491
0.0014
0.0010
car
0.0302
0.0001
0.0012
0.0160
0.9505
0.0019
clutter
0.3747
0.0999
0.2630
0.0654
0.0099
0.1870
Precision/Correctness
0.906
0.978
0.800
0.823
0.954
0.810
Recall/Completeness
0.943
0.986
0.869
0.949
0.951
0.187
F1
0.924
0.982
0.833
0.881
0.952
0.304

Overall accuracy 0.903

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
0.8992
0.0213
0.0519
0.0166
0.0023
0.0087
building
0.0110
0.9760
0.0052
0.0052
0.0000
0.0026
low_veg
0.0437
0.0142
0.8607
0.0724
0.0001
0.0089
tree
0.0270
0.0052
0.1329
0.8262
0.0025
0.0062
car
0.1088
0.0082
0.0030
0.0226
0.8449
0.0125
clutter
0.0525
0.0529
0.1105
0.0167
0.0007
0.7666
Precision/Correctness
0.901
0.929
0.797
0.866
0.943
0.924
Recall/Completeness
0.899
0.976
0.861
0.826
0.845
0.767
F1
0.900
0.952
0.828
0.846
0.891
0.838

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: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9193
0.0161
0.0453
0.0115
0.0002
0.0075
building
0.0089
0.9821
0.0029
0.0040
0.0000
0.0021
low_veg
0.0312
0.0089
0.8878
0.0651
0.0000
0.0069
tree
0.0194
0.0037
0.1147
0.8548
0.0020
0.0055
car
0.0464
0.0088
0.0008
0.0170
0.9139
0.0131
clutter
0.0418
0.0489
0.0960
0.0138
0.0006
0.7990
Precision/Correctness
0.929
0.946
0.821
0.890
0.972
0.940
Recall/Completeness
0.919
0.982
0.888
0.855
0.914
0.799
F1
0.924
0.964
0.853
0.872
0.942
0.864

Overall accuracy 0.901

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
0.9266
0.0168
0.0434
0.0079
0.0017
0.0037
building
0.0038
0.9820
0.0108
0.0022
0.0000
0.0011
low_veg
0.0485
0.0203
0.8842
0.0412
0.0003
0.0055
tree
0.0606
0.0069
0.1296
0.7936
0.0055
0.0039
car
0.1271
0.0089
0.0066
0.0077
0.8473
0.0023
clutter
0.3399
0.2185
0.1258
0.0186
0.0083
0.2889
Precision/Correctness
0.914
0.949
0.790
0.904
0.927
0.733
Recall/Completeness
0.927
0.982
0.884
0.794
0.847
0.289
F1
0.920
0.965
0.834
0.845
0.885
0.414

Overall accuracy 0.899

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
0.9447
0.0099
0.0374
0.0051
0.0002
0.0027
building
0.0018
0.9870
0.0087
0.0016
0.0000
0.0008
low_veg
0.0307
0.0117
0.9192
0.0342
0.0000
0.0041
tree
0.0457
0.0050
0.1104
0.8318
0.0042
0.0030
car
0.0449
0.0091
0.0018
0.0034
0.9387
0.0021
clutter
0.3550
0.2111
0.1074
0.0144
0.0075
0.3045
Precision/Correctness
0.940
0.967
0.817
0.929
0.958
0.765
Recall/Completeness
0.945
0.987
0.919
0.832
0.939
0.305
F1
0.943
0.977
0.865
0.878
0.948
0.436

Overall accuracy 0.925

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
0.9121
0.0145
0.0425
0.0243
0.0011
0.0055
building
0.0074
0.9826
0.0051
0.0037
0.0000
0.0012
low_veg
0.0296
0.0115
0.8651
0.0856
0.0001
0.0082
tree
0.0395
0.0057
0.1066
0.8432
0.0025
0.0025
car
0.1441
0.0029
0.0011
0.0074
0.8428
0.0017
clutter
0.2016
0.3266
0.1529
0.0239
0.0048
0.2901
Precision/Correctness
0.930
0.939
0.831
0.798
0.962
0.694
Recall/Completeness
0.912
0.983
0.865
0.843
0.843
0.290
F1
0.921
0.960
0.848
0.820
0.899
0.409

Overall accuracy 0.893

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
0.9324
0.0084
0.0368
0.0182
0.0001
0.0041
building
0.0048
0.9882
0.0033
0.0030
0.0000
0.0008
low_veg
0.0251
0.0067
0.8855
0.0759
0.0000
0.0068
tree
0.0269
0.0043
0.0931
0.8717
0.0020
0.0021
car
0.0515
0.0031
0.0005
0.0053
0.9381
0.0015
clutter
0.1698
0.3339
0.1422
0.0238
0.0050
0.3253
Precision/Correctness
0.954
0.957
0.858
0.827
0.981
0.719
Recall/Completeness
0.932
0.988
0.886
0.872
0.938
0.325
F1
0.943
0.973
0.871
0.849
0.959
0.448

Overall accuracy 0.917

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
0.9280
0.0075
0.0258
0.0295
0.0008
0.0084
building
0.0039
0.9889
0.0048
0.0016
0.0001
0.0008
low_veg
0.0515
0.0067
0.8394
0.0897
0.0002
0.0125
tree
0.0423
0.0047
0.0863
0.8554
0.0033
0.0081
car
0.1261
0.0010
0.0126
0.0138
0.8192
0.0274
clutter
0.1518
0.1820
0.1568
0.0520
0.0042
0.4531
Precision/Correctness
0.884
0.933
0.832
0.828
0.932
0.828
Recall/Completeness
0.928
0.989
0.839
0.855
0.819
0.453
F1
0.905
0.960
0.836
0.842
0.872
0.586

Overall accuracy 0.875

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
0.9475
0.0041
0.0182
0.0233
0.0001
0.0069
building
0.0022
0.9938
0.0023
0.0011
0.0000
0.0005
low_veg
0.0387
0.0036
0.8622
0.0842
0.0000
0.0112
tree
0.0329
0.0037
0.0769
0.8769
0.0025
0.0071
car
0.0311
0.0006
0.0108
0.0091
0.9190
0.0294
clutter
0.1346
0.1544
0.1448
0.0520
0.0040
0.5102
Precision/Correctness
0.913
0.953
0.858
0.851
0.952
0.852
Recall/Completeness
0.947
0.994
0.862
0.877
0.919
0.510
F1
0.930
0.973
0.860
0.864
0.935
0.638

Overall accuracy 0.899

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
0.9191
0.0120
0.0425
0.0197
0.0011
0.0056
building
0.0106
0.9770
0.0053
0.0055
0.0002
0.0014
low_veg
0.0403
0.0057
0.8243
0.1032
0.0001
0.0264
tree
0.0347
0.0045
0.0852
0.8701
0.0027
0.0028
car
0.1624
0.0030
0.0039
0.0116
0.8084
0.0107
clutter
0.1390
0.1329
0.0676
0.0128
0.0046
0.6431
Precision/Correctness
0.933
0.940
0.781
0.801
0.950
0.866
Recall/Completeness
0.919
0.977
0.824
0.870
0.808
0.643
F1
0.926
0.958
0.802
0.834
0.873
0.738

Overall accuracy 0.892

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
0.9343
0.0078
0.0378
0.0150
0.0004
0.0047
building
0.0067
0.9844
0.0034
0.0042
0.0001
0.0011
low_veg
0.0242
0.0019
0.8513
0.0968
0.0000
0.0258
tree
0.0252
0.0028
0.0746
0.8928
0.0022
0.0023
car
0.0604
0.0027
0.0010
0.0088
0.9149
0.0122
clutter
0.1218
0.0964
0.0508
0.0099
0.0046
0.7166
Precision/Correctness
0.956
0.962
0.806
0.830
0.963
0.883
Recall/Completeness
0.934
0.984
0.851
0.893
0.915
0.717
F1
0.945
0.973
0.828
0.860
0.938
0.791

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_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9442
0.0072
0.0222
0.0187
0.0010
0.0067
building
0.0214
0.9542
0.0067
0.0014
0.0002
0.0161
low_veg
0.0164
0.0033
0.9374
0.0412
0.0000
0.0016
tree
0.0626
0.0028
0.0832
0.8483
0.0015
0.0016
car
0.1296
0.0007
0.0005
0.0029
0.8657
0.0006
clutter
0.2377
0.0366
0.1366
0.0554
0.0038
0.5299
Precision/Correctness
0.939
0.980
0.907
0.847
0.939
0.609
Recall/Completeness
0.944
0.954
0.937
0.848
0.866
0.530
F1
0.942
0.967
0.922
0.847
0.901
0.567

Overall accuracy 0.924

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
0.9603
0.0048
0.0170
0.0125
0.0002
0.0053
building
0.0177
0.9632
0.0028
0.0007
0.0002
0.0153
low_veg
0.0098
0.0016
0.9517
0.0357
0.0000
0.0012
tree
0.0471
0.0018
0.0711
0.8774
0.0012
0.0014
car
0.0512
0.0009
0.0003
0.0013
0.9457
0.0006
clutter
0.2224
0.0352
0.1146
0.0546
0.0027
0.5705
Precision/Correctness
0.956
0.987
0.928
0.876
0.969
0.625
Recall/Completeness
0.960
0.963
0.952
0.877
0.946
0.571
F1
0.958
0.975
0.940
0.877
0.957
0.597

Overall accuracy 0.942

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
0.9485
0.0077
0.0250
0.0129
0.0028
0.0031
building
0.0224
0.9659
0.0046
0.0011
0.0001
0.0059
low_veg
0.0296
0.0060
0.8647
0.0931
0.0003
0.0063
tree
0.0353
0.0070
0.0706
0.8807
0.0053
0.0010
car
0.0914
0.0052
0.0028
0.0102
0.8867
0.0038
clutter
0.2127
0.0926
0.2417
0.0235
0.0071
0.4224
Precision/Correctness
0.943
0.977
0.850
0.802
0.939
0.701
Recall/Completeness
0.949
0.966
0.865
0.881
0.887
0.422
F1
0.946
0.971
0.857
0.840
0.912
0.527

Overall accuracy 0.920

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
0.9632
0.0040
0.0206
0.0096
0.0001
0.0025
building
0.0185
0.9734
0.0017
0.0007
0.0000
0.0056
low_veg
0.0168
0.0021
0.8887
0.0871
0.0000
0.0052
tree
0.0251
0.0055
0.0598
0.9044
0.0042
0.0009
car
0.0259
0.0043
0.0008
0.0063
0.9592
0.0036
clutter
0.1888
0.0928
0.2385
0.0200
0.0063
0.4536
Precision/Correctness
0.961
0.986
0.873
0.830
0.976
0.719
Recall/Completeness
0.963
0.973
0.889
0.904
0.959
0.454
F1
0.962
0.980
0.881
0.865
0.968
0.556

Overall accuracy 0.939

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
0.9316
0.0064
0.0338
0.0129
0.0030
0.0124
building
0.0145
0.9731
0.0063
0.0032
0.0000
0.0030
low_veg
0.0342
0.0028
0.8871
0.0470
0.0008
0.0281
tree
0.0387
0.0043
0.1529
0.7927
0.0061
0.0053
car
0.0971
0.0008
0.0053
0.0105
0.8787
0.0077
clutter
0.0621
0.0195
0.1472
0.0067
0.0050
0.7595
Precision/Correctness
0.943
0.980
0.737
0.903
0.915
0.811
Recall/Completeness
0.932
0.973
0.887
0.793
0.879
0.760
F1
0.937
0.976
0.805
0.844
0.897
0.784

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_15_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9494
0.0039
0.0267
0.0092
0.0001
0.0108
building
0.0100
0.9822
0.0031
0.0023
0.0000
0.0025
low_veg
0.0190
0.0011
0.9148
0.0380
0.0000
0.0270
tree
0.0308
0.0031
0.1368
0.8194
0.0052
0.0047
car
0.0332
0.0007
0.0008
0.0071
0.9503
0.0080
clutter
0.0516
0.0174
0.1355
0.0053
0.0041
0.7863
Precision/Correctness
0.963
0.987
0.761
0.928
0.955
0.833
Recall/Completeness
0.949
0.982
0.915
0.819
0.950
0.786
F1
0.956
0.985
0.831
0.870
0.953
0.809

Overall accuracy 0.923

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
0.9400
0.0077
0.0124
0.0307
0.0013
0.0079
building
0.0196
0.9690
0.0026
0.0019
0.0000
0.0068
low_veg
0.0402
0.0070
0.7749
0.1670
0.0002
0.0107
tree
0.0121
0.0060
0.1018
0.8789
0.0007
0.0005
car
0.1094
0.0012
0.0017
0.0264
0.8604
0.0009
clutter
0.1664
0.0183
0.0357
0.0022
0.0044
0.7731
Precision/Correctness
0.947
0.970
0.814
0.674
0.915
0.914
Recall/Completeness
0.940
0.969
0.775
0.879
0.860
0.773
F1
0.944
0.970
0.794
0.763
0.887
0.838

Overall accuracy 0.909

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
0.9555
0.0043
0.0098
0.0231
0.0002
0.0070
building
0.0159
0.9754
0.0016
0.0011
0.0000
0.0060
low_veg
0.0292
0.0036
0.7989
0.1580
0.0001
0.0103
tree
0.0064
0.0045
0.0960
0.8926
0.0004
0.0002
car
0.0482
0.0009
0.0011
0.0187
0.9308
0.0002
clutter
0.1574
0.0162
0.0334
0.0018
0.0042
0.7869
Precision/Correctness
0.956
0.981
0.833
0.705
0.948
0.925
Recall/Completeness
0.955
0.975
0.799
0.893
0.931
0.787
F1
0.956
0.978
0.816
0.788
0.939
0.850

Overall accuracy 0.925

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image