Detailled semantic labeling (2D) result


Name W. Tang
Affiliation Wuhan University, China
Abbreviation WUH_W1
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
0.910
0.018
0.037
0.019
0.003
0.012
building
0.022
0.957
0.010
0.004
0.000
0.007
low_veg
0.044
0.013
0.864
0.067
0.000
0.011
tree
0.035
0.005
0.123
0.830
0.002
0.005
car
0.069
0.003
0.003
0.014
0.898
0.012
clutter
0.271
0.123
0.176
0.028
0.009
0.393
Precision/Correctness
0.894
0.938
0.808
0.861
0.907
0.670
Recall/Completeness
0.910
0.957
0.864
0.830
0.898
0.393
F1
0.902
0.947
0.835
0.846
0.903
0.496

Overall accuracy 0.874

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
0.929
0.015
0.031
0.014
0.000
0.011
building
0.018
0.965
0.007
0.003
0.000
0.006
low_veg
0.032
0.009
0.890
0.058
0.000
0.010
tree
0.026
0.004
0.109
0.856
0.002
0.004
car
0.010
0.003
0.002
0.009
0.963
0.013
clutter
0.268
0.110
0.169
0.024
0.009
0.420
Precision/Correctness
0.915
0.953
0.831
0.888
0.945
0.695
Recall/Completeness
0.929
0.965
0.890
0.856
0.963
0.420
F1
0.922
0.959
0.860
0.872
0.954
0.524

Overall accuracy 0.897
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8857
0.0193
0.0506
0.0186
0.0027
0.0232
building
0.0152
0.9394
0.0207
0.0101
0.0019
0.0127
low_veg
0.0281
0.0246
0.8765
0.0571
0.0002
0.0134
tree
0.0345
0.0087
0.1142
0.8356
0.0012
0.0057
car
0.0758
0.0196
0.0020
0.0100
0.8631
0.0295
clutter
0.1485
0.1763
0.1378
0.0396
0.0166
0.4812
Precision/Correctness
0.904
0.907
0.854
0.887
0.856
0.402
Recall/Completeness
0.886
0.939
0.877
0.836
0.863
0.481
F1
0.895
0.923
0.865
0.861
0.860
0.438

Overall accuracy 0.873

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
0.9090
0.0143
0.0419
0.0126
0.0004
0.0217
building
0.0108
0.9506
0.0163
0.0088
0.0019
0.0115
low_veg
0.0204
0.0227
0.8998
0.0453
0.0002
0.0116
tree
0.0263
0.0073
0.0960
0.8647
0.0008
0.0048
car
0.0217
0.0230
0.0003
0.0050
0.9146
0.0353
clutter
0.1063
0.1779
0.1002
0.0309
0.0206
0.5642
Precision/Correctness
0.933
0.925
0.880
0.914
0.897
0.392
Recall/Completeness
0.909
0.951
0.900
0.865
0.915
0.564
F1
0.921
0.937
0.890
0.889
0.906
0.462

Overall accuracy 0.899

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
0.8828
0.0072
0.0841
0.0156
0.0016
0.0087
building
0.0097
0.9688
0.0086
0.0058
0.0002
0.0070
low_veg
0.0131
0.0102
0.9333
0.0408
0.0001
0.0026
tree
0.0132
0.0037
0.1679
0.8133
0.0006
0.0012
car
0.0550
0.0003
0.0021
0.0181
0.9242
0.0003
clutter
0.0832
0.2195
0.1697
0.0671
0.0239
0.4366
Precision/Correctness
0.923
0.900
0.839
0.935
0.908
0.321
Recall/Completeness
0.883
0.969
0.933
0.813
0.924
0.437
F1
0.902
0.933
0.884
0.870
0.916
0.370

Overall accuracy 0.884

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
0.9122
0.0048
0.0646
0.0101
0.0001
0.0081
building
0.0056
0.9814
0.0030
0.0038
0.0001
0.0061
low_veg
0.0084
0.0091
0.9476
0.0329
0.0000
0.0020
tree
0.0097
0.0030
0.1517
0.8342
0.0004
0.0010
car
0.0026
0.0000
0.0002
0.0110
0.9859
0.0002
clutter
0.0592
0.2454
0.1282
0.0606
0.0248
0.4817
Precision/Correctness
0.947
0.917
0.858
0.951
0.954
0.304
Recall/Completeness
0.912
0.981
0.948
0.834
0.986
0.482
F1
0.929
0.948
0.901
0.889
0.969
0.372

Overall accuracy 0.903

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
0.8873
0.0175
0.0470
0.0243
0.0035
0.0204
building
0.0120
0.9704
0.0058
0.0044
0.0000
0.0073
low_veg
0.0519
0.0223
0.8457
0.0664
0.0001
0.0136
tree
0.0284
0.0062
0.0977
0.8614
0.0022
0.0042
car
0.0607
0.0040
0.0012
0.0175
0.9110
0.0055
clutter
0.2417
0.1445
0.2365
0.0308
0.0051
0.3414
Precision/Correctness
0.887
0.943
0.825
0.894
0.911
0.422
Recall/Completeness
0.887
0.970
0.846
0.861
0.911
0.341
F1
0.887
0.956
0.835
0.877
0.911
0.377

Overall accuracy 0.880

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
0.9146
0.0116
0.0376
0.0170
0.0002
0.0190
building
0.0087
0.9792
0.0030
0.0031
0.0000
0.0060
low_veg
0.0401
0.0141
0.8804
0.0544
0.0000
0.0109
tree
0.0208
0.0048
0.0823
0.8869
0.0016
0.0035
car
0.0068
0.0044
0.0002
0.0118
0.9712
0.0056
clutter
0.2467
0.1409
0.2196
0.0222
0.0055
0.3651
Precision/Correctness
0.916
0.963
0.855
0.921
0.962
0.411
Recall/Completeness
0.915
0.979
0.880
0.887
0.971
0.365
F1
0.915
0.971
0.867
0.904
0.966
0.386

Overall accuracy 0.908

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
0.8621
0.0208
0.0699
0.0298
0.0032
0.0141
building
0.0170
0.9700
0.0059
0.0042
0.0000
0.0029
low_veg
0.0284
0.0104
0.8997
0.0523
0.0000
0.0091
tree
0.0193
0.0036
0.1760
0.7951
0.0013
0.0047
car
0.0665
0.0012
0.0011
0.0348
0.8763
0.0201
clutter
0.2106
0.1532
0.1815
0.0341
0.0031
0.4175
Precision/Correctness
0.885
0.944
0.785
0.900
0.903
0.626
Recall/Completeness
0.862
0.970
0.900
0.795
0.876
0.417
F1
0.873
0.957
0.838
0.844
0.889
0.501

Overall accuracy 0.865

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
0.8923
0.0153
0.0576
0.0221
0.0004
0.0123
building
0.0142
0.9785
0.0024
0.0030
0.0000
0.0020
low_veg
0.0182
0.0058
0.9269
0.0418
0.0000
0.0073
tree
0.0148
0.0027
0.1598
0.8178
0.0011
0.0038
car
0.0101
0.0011
0.0001
0.0258
0.9412
0.0216
clutter
0.2078
0.1410
0.1497
0.0274
0.0031
0.4711
Precision/Correctness
0.914
0.961
0.809
0.925
0.952
0.660
Recall/Completeness
0.892
0.978
0.927
0.818
0.941
0.471
F1
0.903
0.970
0.864
0.868
0.947
0.550

Overall accuracy 0.891

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
0.9254
0.0096
0.0330
0.0255
0.0021
0.0045
building
0.0194
0.9629
0.0076
0.0052
0.0001
0.0047
low_veg
0.0593
0.0098
0.8100
0.1149
0.0002
0.0059
tree
0.0257
0.0030
0.0463
0.9222
0.0016
0.0011
car
0.0643
0.0011
0.0023
0.0270
0.8992
0.0061
clutter
0.5046
0.0904
0.1657
0.0821
0.0135
0.1437
Precision/Correctness
0.839
0.967
0.798
0.785
0.915
0.706
Recall/Completeness
0.925
0.963
0.810
0.922
0.899
0.144
F1
0.880
0.965
0.804
0.848
0.907
0.239

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: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9446
0.0064
0.0271
0.0182
0.0003
0.0033
building
0.0137
0.9754
0.0033
0.0036
0.0001
0.0039
low_veg
0.0457
0.0053
0.8403
0.1043
0.0000
0.0044
tree
0.0158
0.0019
0.0339
0.9465
0.0012
0.0006
car
0.0062
0.0007
0.0005
0.0171
0.9699
0.0056
clutter
0.5311
0.0780
0.1547
0.0753
0.0150
0.1459
Precision/Correctness
0.863
0.978
0.834
0.821
0.936
0.736
Recall/Completeness
0.945
0.975
0.840
0.946
0.970
0.146
F1
0.902
0.977
0.837
0.880
0.952
0.244

Overall accuracy 0.893

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
0.8849
0.0293
0.0517
0.0148
0.0044
0.0150
building
0.0181
0.9612
0.0053
0.0049
0.0004
0.0102
low_veg
0.0866
0.0155
0.8046
0.0654
0.0003
0.0276
tree
0.0332
0.0046
0.1448
0.8016
0.0029
0.0129
car
0.0607
0.0028
0.0057
0.0201
0.8886
0.0222
clutter
0.3704
0.0544
0.2506
0.0140
0.0011
0.3096
Precision/Correctness
0.769
0.918
0.736
0.875
0.914
0.669
Recall/Completeness
0.885
0.961
0.805
0.802
0.889
0.310
F1
0.823
0.939
0.769
0.837
0.901
0.423

Overall accuracy 0.809

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
0.9055
0.0258
0.0451
0.0097
0.0006
0.0134
building
0.0147
0.9696
0.0030
0.0036
0.0003
0.0088
low_veg
0.0754
0.0106
0.8308
0.0575
0.0001
0.0257
tree
0.0250
0.0034
0.1272
0.8303
0.0024
0.0118
car
0.0144
0.0022
0.0054
0.0145
0.9403
0.0232
clutter
0.3790
0.0513
0.2458
0.0111
0.0007
0.3120
Precision/Correctness
0.783
0.933
0.753
0.900
0.959
0.697
Recall/Completeness
0.905
0.970
0.831
0.830
0.940
0.312
F1
0.840
0.951
0.790
0.864
0.950
0.431

Overall accuracy 0.829

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
0.8917
0.0357
0.0554
0.0076
0.0027
0.0070
building
0.0216
0.9619
0.0104
0.0018
0.0004
0.0039
low_veg
0.0670
0.0200
0.8643
0.0389
0.0005
0.0093
tree
0.0683
0.0077
0.1358
0.7760
0.0060
0.0062
car
0.0795
0.0063
0.0037
0.0076
0.8910
0.0119
clutter
0.2423
0.2292
0.2200
0.0145
0.0077
0.2864
Precision/Correctness
0.896
0.928
0.755
0.908
0.910
0.572
Recall/Completeness
0.892
0.962
0.864
0.776
0.891
0.286
F1
0.894
0.945
0.806
0.837
0.900
0.382

Overall accuracy 0.877

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
0.9085
0.0301
0.0506
0.0049
0.0004
0.0054
building
0.0190
0.9678
0.0083
0.0011
0.0003
0.0034
low_veg
0.0464
0.0117
0.9028
0.0320
0.0001
0.0070
tree
0.0523
0.0059
0.1153
0.8168
0.0044
0.0053
car
0.0121
0.0059
0.0007
0.0038
0.9628
0.0147
clutter
0.2351
0.2277
0.2241
0.0109
0.0071
0.2952
Precision/Correctness
0.923
0.945
0.779
0.934
0.949
0.584
Recall/Completeness
0.909
0.968
0.903
0.817
0.963
0.295
F1
0.916
0.956
0.836
0.871
0.956
0.392

Overall accuracy 0.902

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
0.9192
0.0168
0.0295
0.0237
0.0020
0.0087
building
0.0168
0.9686
0.0048
0.0035
0.0002
0.0062
low_veg
0.0664
0.0098
0.8364
0.0787
0.0001
0.0085
tree
0.0512
0.0065
0.1098
0.8275
0.0026
0.0024
car
0.0856
0.0016
0.0007
0.0089
0.8910
0.0123
clutter
0.2201
0.2667
0.1497
0.0216
0.0349
0.3070
Precision/Correctness
0.902
0.942
0.844
0.805
0.912
0.589
Recall/Completeness
0.919
0.969
0.836
0.828
0.891
0.307
F1
0.911
0.955
0.840
0.816
0.902
0.403

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: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9378
0.0122
0.0252
0.0178
0.0002
0.0067
building
0.0124
0.9760
0.0030
0.0028
0.0002
0.0056
low_veg
0.0588
0.0053
0.8604
0.0691
0.0000
0.0065
tree
0.0367
0.0049
0.0976
0.8567
0.0021
0.0020
car
0.0101
0.0015
0.0001
0.0063
0.9686
0.0135
clutter
0.1871
0.2680
0.1460
0.0186
0.0425
0.3377
Precision/Correctness
0.928
0.959
0.869
0.835
0.935
0.600
Recall/Completeness
0.938
0.976
0.860
0.857
0.969
0.338
F1
0.933
0.967
0.865
0.846
0.951
0.432

Overall accuracy 0.910

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
0.9225
0.0108
0.0273
0.0276
0.0015
0.0103
building
0.0112
0.9794
0.0041
0.0034
0.0002
0.0018
low_veg
0.0524
0.0172
0.8274
0.0877
0.0003
0.0149
tree
0.0467
0.0050
0.0916
0.8453
0.0044
0.0070
car
0.0901
0.0026
0.0103
0.0131
0.8648
0.0189
clutter
0.2001
0.2063
0.1572
0.0500
0.0061
0.3802
Precision/Correctness
0.866
0.915
0.825
0.830
0.907
0.781
Recall/Completeness
0.923
0.979
0.827
0.845
0.865
0.380
F1
0.893
0.946
0.826
0.837
0.885
0.511

Overall accuracy 0.862

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
0.9419
0.0078
0.0198
0.0213
0.0002
0.0089
building
0.0092
0.9845
0.0018
0.0029
0.0001
0.0016
low_veg
0.0380
0.0142
0.8516
0.0823
0.0000
0.0138
tree
0.0368
0.0040
0.0828
0.8668
0.0034
0.0062
car
0.0131
0.0029
0.0095
0.0083
0.9460
0.0201
clutter
0.1861
0.1816
0.1499
0.0489
0.0064
0.4271
Precision/Correctness
0.895
0.935
0.849
0.853
0.931
0.804
Recall/Completeness
0.942
0.984
0.852
0.867
0.946
0.427
F1
0.918
0.959
0.851
0.860
0.938
0.558

Overall accuracy 0.886

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
0.9008
0.0279
0.0430
0.0201
0.0017
0.0065
building
0.0168
0.9609
0.0121
0.0061
0.0003
0.0037
low_veg
0.0481
0.0060
0.8017
0.1250
0.0002
0.0191
tree
0.0373
0.0043
0.0718
0.8823
0.0019
0.0024
car
0.0976
0.0044
0.0035
0.0145
0.8712
0.0089
clutter
0.2963
0.2019
0.1124
0.0138
0.0026
0.3730
Precision/Correctness
0.903
0.899
0.759
0.781
0.950
0.795
Recall/Completeness
0.901
0.961
0.802
0.882
0.871
0.373
F1
0.902
0.929
0.780
0.828
0.909
0.508

Overall accuracy 0.862

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
0.9156
0.0246
0.0384
0.0154
0.0005
0.0057
building
0.0124
0.9692
0.0102
0.0047
0.0003
0.0033
low_veg
0.0302
0.0023
0.8305
0.1186
0.0001
0.0183
tree
0.0273
0.0029
0.0630
0.9033
0.0014
0.0020
car
0.0189
0.0042
0.0009
0.0120
0.9540
0.0099
clutter
0.2969
0.1768
0.1041
0.0112
0.0023
0.4087
Precision/Correctness
0.924
0.918
0.780
0.810
0.972
0.814
Recall/Completeness
0.916
0.969
0.831
0.903
0.954
0.409
F1
0.920
0.943
0.805
0.854
0.963
0.544

Overall accuracy 0.884

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
0.9336
0.0134
0.0228
0.0174
0.0014
0.0114
building
0.0387
0.9329
0.0179
0.0015
0.0001
0.0089
low_veg
0.0218
0.0044
0.9335
0.0384
0.0000
0.0020
tree
0.0669
0.0026
0.0796
0.8476
0.0016
0.0018
car
0.0691
0.0000
0.0002
0.0040
0.9056
0.0211
clutter
0.3627
0.0193
0.2969
0.0426
0.0050
0.2735
Precision/Correctness
0.920
0.971
0.886
0.856
0.929
0.433
Recall/Completeness
0.934
0.933
0.934
0.848
0.906
0.273
F1
0.927
0.951
0.909
0.852
0.917
0.335

Overall accuracy 0.909

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
0.9491
0.0112
0.0184
0.0117
0.0002
0.0094
building
0.0342
0.9435
0.0138
0.0008
0.0001
0.0076
low_veg
0.0126
0.0022
0.9517
0.0325
0.0000
0.0011
tree
0.0496
0.0016
0.0683
0.8778
0.0012
0.0015
car
0.0081
0.0000
0.0000
0.0021
0.9673
0.0225
clutter
0.3747
0.0149
0.3096
0.0422
0.0042
0.2544
Precision/Correctness
0.937
0.978
0.904
0.886
0.969
0.433
Recall/Completeness
0.949
0.943
0.952
0.878
0.967
0.254
F1
0.943
0.961
0.927
0.882
0.968
0.320

Overall accuracy 0.928

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
0.9467
0.0112
0.0236
0.0111
0.0042
0.0032
building
0.0355
0.9520
0.0069
0.0010
0.0005
0.0040
low_veg
0.0519
0.0079
0.8598
0.0744
0.0004
0.0055
tree
0.0436
0.0090
0.0779
0.8618
0.0066
0.0012
car
0.0549
0.0018
0.0019
0.0077
0.9296
0.0042
clutter
0.2300
0.2858
0.2344
0.0266
0.0165
0.2068
Precision/Correctness
0.925
0.956
0.845
0.828
0.910
0.575
Recall/Completeness
0.947
0.952
0.860
0.862
0.930
0.207
F1
0.936
0.954
0.853
0.845
0.920
0.304

Overall accuracy 0.909

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
0.9630
0.0079
0.0183
0.0079
0.0003
0.0026
building
0.0308
0.9604
0.0043
0.0005
0.0003
0.0037
low_veg
0.0364
0.0038
0.8879
0.0679
0.0000
0.0040
tree
0.0327
0.0074
0.0661
0.8875
0.0053
0.0010
car
0.0057
0.0014
0.0005
0.0043
0.9842
0.0039
clutter
0.2088
0.3165
0.2356
0.0228
0.0159
0.2004
Precision/Correctness
0.944
0.965
0.870
0.857
0.958
0.586
Recall/Completeness
0.963
0.960
0.888
0.887
0.984
0.200
F1
0.953
0.963
0.879
0.872
0.971
0.299

Overall accuracy 0.928

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
0.9187
0.0142
0.0324
0.0098
0.0051
0.0198
building
0.0157
0.9492
0.0253
0.0047
0.0002
0.0049
low_veg
0.0440
0.0059
0.8734
0.0463
0.0014
0.0291
tree
0.0447
0.0061
0.1671
0.7689
0.0050
0.0081
car
0.0537
0.0033
0.0040
0.0063
0.9248
0.0079
clutter
0.1294
0.0346
0.2000
0.0047
0.0135
0.6178
Precision/Correctness
0.929
0.959
0.698
0.908
0.882
0.719
Recall/Completeness
0.919
0.949
0.873
0.769
0.925
0.618
F1
0.924
0.954
0.776
0.833
0.903
0.665

Overall accuracy 0.878

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
0.9375
0.0118
0.0254
0.0064
0.0005
0.0185
building
0.0113
0.9585
0.0221
0.0038
0.0002
0.0042
low_veg
0.0260
0.0040
0.9040
0.0378
0.0003
0.0279
tree
0.0350
0.0048
0.1518
0.7969
0.0041
0.0075
car
0.0053
0.0032
0.0005
0.0040
0.9794
0.0076
clutter
0.1211
0.0336
0.1938
0.0034
0.0137
0.6343
Precision/Correctness
0.949
0.967
0.716
0.933
0.933
0.739
Recall/Completeness
0.937
0.958
0.904
0.797
0.979
0.634
F1
0.943
0.963
0.799
0.860
0.956
0.683

Overall accuracy 0.899

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
0.9199
0.0187
0.0133
0.0277
0.0020
0.0184
building
0.0472
0.9148
0.0060
0.0040
0.0001
0.0281
low_veg
0.0508
0.0127
0.7552
0.1745
0.0002
0.0066
tree
0.0285
0.0038
0.0902
0.8758
0.0013
0.0004
car
0.0438
0.0005
0.0014
0.0206
0.9265
0.0072
clutter
0.1959
0.0175
0.0937
0.0090
0.0080
0.6760
Precision/Correctness
0.926
0.943
0.765
0.671
0.874
0.790
Recall/Completeness
0.920
0.915
0.755
0.876
0.927
0.676
F1
0.923
0.929
0.760
0.760
0.899
0.729

Overall accuracy 0.877

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
0.9349
0.0156
0.0108
0.0205
0.0004
0.0178
building
0.0441
0.9206
0.0049
0.0031
0.0000
0.0272
low_veg
0.0375
0.0089
0.7815
0.1662
0.0001
0.0058
tree
0.0202
0.0024
0.0834
0.8930
0.0008
0.0002
car
0.0044
0.0004
0.0004
0.0147
0.9741
0.0059
clutter
0.1874
0.0159
0.0932
0.0084
0.0077
0.6874
Precision/Correctness
0.935
0.953
0.780
0.701
0.914
0.800
Recall/Completeness
0.935
0.921
0.781
0.893
0.974
0.687
F1
0.935
0.937
0.781
0.786
0.943
0.740

Overall accuracy 0.892

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image