Detailled semantic labeling (2D) result


Name M. Volpi and D. Tuia
Affiliation MMRS, Department of Geography, University of Zurich, Switzerland
Abbreviation UZ_1
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
0.887
0.017
0.036
0.039
0.004
0.017
building
0.024
0.937
0.011
0.021
0.002
0.006
low_veg
0.060
0.007
0.776
0.145
0.000
0.012
tree
0.040
0.007
0.111
0.837
0.003
0.001
car
0.105
0.021
0.002
0.030
0.823
0.020
clutter
0.419
0.091
0.139
0.120
0.035
0.196
Precision/Correctness
0.858
0.946
0.806
0.726
0.804
0.475
Recall/Completeness
0.887
0.937
0.776
0.837
0.823
0.196
F1
0.872
0.941
0.790
0.777
0.813
0.277

Overall accuracy 0.834

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
0.907
0.014
0.031
0.031
0.001
0.016
building
0.020
0.947
0.007
0.019
0.001
0.006
low_veg
0.046
0.004
0.806
0.133
0.000
0.012
tree
0.031
0.006
0.100
0.860
0.002
0.001
car
0.045
0.024
0.001
0.023
0.889
0.018
clutter
0.438
0.079
0.128
0.113
0.034
0.209
Precision/Correctness
0.880
0.960
0.830
0.758
0.842
0.489
Recall/Completeness
0.907
0.947
0.806
0.860
0.889
0.209
F1
0.893
0.954
0.818
0.805
0.865
0.293

Overall accuracy 0.858
=============================================================

Tile top_potsdam_2_13_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9075
0.0150
0.0343
0.0189
0.0027
0.0216
building
0.0307
0.9267
0.0180
0.0173
0.0007
0.0066
low_veg
0.0494
0.0097
0.8116
0.0920
0.0001
0.0372
tree
0.0471
0.0142
0.1254
0.8081
0.0020
0.0032
car
0.1503
0.0135
0.0034
0.0119
0.7505
0.0704
clutter
0.2296
0.1155
0.1392
0.0717
0.1097
0.3344
Precision/Correctness
0.855
0.933
0.849
0.834
0.721
0.250
Recall/Completeness
0.908
0.927
0.812
0.808
0.751
0.334
F1
0.881
0.930
0.830
0.821
0.735
0.286

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
0.9320
0.0106
0.0255
0.0126
0.0005
0.0189
building
0.0251
0.9404
0.0145
0.0148
0.0006
0.0046
low_veg
0.0404
0.0064
0.8383
0.0777
0.0000
0.0372
tree
0.0379
0.0129
0.1091
0.8360
0.0015
0.0027
car
0.0837
0.0144
0.0015
0.0065
0.8181
0.0759
clutter
0.2089
0.1115
0.1062
0.0620
0.1337
0.3777
Precision/Correctness
0.885
0.951
0.876
0.865
0.756
0.229
Recall/Completeness
0.932
0.940
0.838
0.836
0.818
0.378
F1
0.908
0.946
0.857
0.850
0.786
0.285

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
0.9035
0.0059
0.0589
0.0233
0.0022
0.0062
building
0.0235
0.9496
0.0094
0.0147
0.0005
0.0024
low_veg
0.0588
0.0033
0.8466
0.0771
0.0001
0.0140
tree
0.0317
0.0057
0.1581
0.8017
0.0008
0.0019
car
0.1403
0.0110
0.0016
0.0156
0.8055
0.0261
clutter
0.2254
0.2426
0.1550
0.1023
0.0671
0.2075
Precision/Correctness
0.782
0.926
0.840
0.885
0.838
0.088
Recall/Completeness
0.903
0.950
0.847
0.802
0.805
0.208
F1
0.838
0.938
0.843
0.841
0.821
0.124

Overall accuracy 0.844

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
0.9318
0.0032
0.0445
0.0141
0.0011
0.0054
building
0.0188
0.9645
0.0045
0.0106
0.0003
0.0013
low_veg
0.0538
0.0018
0.8640
0.0663
0.0001
0.0141
tree
0.0270
0.0051
0.1449
0.8208
0.0005
0.0017
car
0.0710
0.0109
0.0004
0.0084
0.8814
0.0279
clutter
0.2165
0.2864
0.1239
0.1010
0.0754
0.1968
Precision/Correctness
0.802
0.946
0.858
0.906
0.874
0.063
Recall/Completeness
0.932
0.965
0.864
0.821
0.881
0.197
F1
0.862
0.955
0.861
0.861
0.878
0.096

Overall accuracy 0.864

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
0.8920
0.0174
0.0267
0.0370
0.0054
0.0216
building
0.0169
0.9598
0.0081
0.0110
0.0002
0.0040
low_veg
0.0726
0.0159
0.7303
0.1656
0.0002
0.0153
tree
0.0330
0.0088
0.0854
0.8682
0.0033
0.0013
car
0.1187
0.0200
0.0021
0.0278
0.8124
0.0189
clutter
0.3566
0.1431
0.1934
0.1168
0.0283
0.1618
Precision/Correctness
0.852
0.945
0.836
0.789
0.828
0.266
Recall/Completeness
0.892
0.960
0.730
0.868
0.812
0.162
F1
0.871
0.952
0.780
0.827
0.820
0.201

Overall accuracy 0.847

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
0.9194
0.0116
0.0198
0.0276
0.0010
0.0206
building
0.0129
0.9706
0.0047
0.0085
0.0002
0.0031
low_veg
0.0573
0.0082
0.7667
0.1539
0.0001
0.0138
tree
0.0249
0.0075
0.0726
0.8912
0.0028
0.0011
car
0.0663
0.0224
0.0015
0.0198
0.8723
0.0176
clutter
0.3840
0.1420
0.1661
0.1059
0.0320
0.1700
Precision/Correctness
0.884
0.964
0.867
0.821
0.885
0.247
Recall/Completeness
0.919
0.971
0.767
0.891
0.872
0.170
F1
0.901
0.967
0.814
0.854
0.878
0.201

Overall accuracy 0.877

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
0.8690
0.0246
0.0430
0.0344
0.0038
0.0253
building
0.0234
0.9548
0.0073
0.0113
0.0003
0.0029
low_veg
0.0480
0.0074
0.8114
0.1236
0.0002
0.0094
tree
0.0315
0.0136
0.1466
0.8053
0.0020
0.0010
car
0.1240
0.0529
0.0008
0.0427
0.7542
0.0253
clutter
0.4127
0.1644
0.1590
0.1084
0.0250
0.1305
Precision/Correctness
0.819
0.928
0.805
0.816
0.807
0.303
Recall/Completeness
0.869
0.955
0.811
0.805
0.754
0.130
F1
0.843
0.941
0.808
0.810
0.780
0.182

Overall accuracy 0.832

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
0.8956
0.0193
0.0338
0.0255
0.0009
0.0249
building
0.0198
0.9652
0.0037
0.0090
0.0002
0.0021
low_veg
0.0345
0.0032
0.8454
0.1084
0.0001
0.0083
tree
0.0257
0.0124
0.1354
0.8239
0.0018
0.0009
car
0.0638
0.0572
0.0002
0.0328
0.8204
0.0256
clutter
0.4484
0.1639
0.1312
0.0963
0.0258
0.1344
Precision/Correctness
0.850
0.945
0.828
0.847
0.849
0.292
Recall/Completeness
0.896
0.965
0.845
0.824
0.820
0.134
F1
0.872
0.955
0.837
0.835
0.834
0.184

Overall accuracy 0.859

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
0.8910
0.0191
0.0264
0.0459
0.0041
0.0136
building
0.0157
0.9526
0.0096
0.0178
0.0007
0.0036
low_veg
0.0767
0.0092
0.6802
0.2270
0.0005
0.0062
tree
0.0483
0.0042
0.0409
0.9032
0.0023
0.0012
car
0.1197
0.0335
0.0043
0.0456
0.7737
0.0232
clutter
0.4861
0.1072
0.1066
0.1533
0.0195
0.1271
Precision/Correctness
0.823
0.953
0.806
0.643
0.843
0.556
Recall/Completeness
0.891
0.953
0.680
0.903
0.774
0.127
F1
0.856
0.953
0.738
0.751
0.807
0.207

Overall accuracy 0.828

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
0.9115
0.0156
0.0219
0.0364
0.0016
0.0131
building
0.0109
0.9664
0.0049
0.0143
0.0006
0.0029
low_veg
0.0580
0.0058
0.7169
0.2138
0.0003
0.0053
tree
0.0351
0.0025
0.0330
0.9267
0.0017
0.0009
car
0.0583
0.0351
0.0024
0.0355
0.8478
0.0209
clutter
0.5068
0.0960
0.0930
0.1434
0.0201
0.1408
Precision/Correctness
0.852
0.965
0.845
0.682
0.875
0.579
Recall/Completeness
0.912
0.966
0.717
0.927
0.848
0.141
F1
0.881
0.966
0.776
0.785
0.861
0.226

Overall accuracy 0.858

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
0.8605
0.0139
0.0612
0.0396
0.0046
0.0203
building
0.0145
0.9631
0.0049
0.0132
0.0011
0.0031
low_veg
0.1121
0.0105
0.6363
0.2193
0.0009
0.0208
tree
0.0374
0.0056
0.0797
0.8730
0.0027
0.0015
car
0.1085
0.0221
0.0023
0.0352
0.8124
0.0195
clutter
0.5327
0.0373
0.0719
0.0399
0.0094
0.3088
Precision/Correctness
0.707
0.945
0.791
0.708
0.858
0.730
Recall/Completeness
0.860
0.963
0.636
0.873
0.812
0.309
F1
0.776
0.954
0.705
0.782
0.835
0.434

Overall accuracy 0.776

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
0.8789
0.0094
0.0592
0.0317
0.0010
0.0199
building
0.0110
0.9732
0.0024
0.0101
0.0009
0.0024
low_veg
0.0948
0.0064
0.6671
0.2107
0.0005
0.0206
tree
0.0285
0.0043
0.0681
0.8958
0.0022
0.0011
car
0.0505
0.0240
0.0018
0.0267
0.8798
0.0171
clutter
0.5485
0.0340
0.0570
0.0308
0.0079
0.3218
Precision/Correctness
0.722
0.960
0.814
0.736
0.904
0.752
Recall/Completeness
0.879
0.973
0.667
0.896
0.880
0.322
F1
0.793
0.967
0.733
0.808
0.892
0.451

Overall accuracy 0.798

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
0.8621
0.0232
0.0439
0.0206
0.0043
0.0458
building
0.0070
0.9623
0.0072
0.0217
0.0004
0.0013
low_veg
0.0637
0.0183
0.7391
0.1650
0.0006
0.0133
tree
0.0774
0.0079
0.0900
0.8147
0.0082
0.0017
car
0.1055
0.0165
0.0025
0.0196
0.8244
0.0316
clutter
0.3381
0.1925
0.1447
0.1286
0.0440
0.1521
Precision/Correctness
0.894
0.943
0.786
0.699
0.830
0.186
Recall/Completeness
0.862
0.962
0.739
0.815
0.824
0.152
F1
0.878
0.953
0.762
0.752
0.827
0.168

Overall accuracy 0.845

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
0.8806
0.0170
0.0393
0.0154
0.0011
0.0466
building
0.0052
0.9689
0.0052
0.0194
0.0003
0.0009
low_veg
0.0388
0.0097
0.7850
0.1545
0.0001
0.0120
tree
0.0622
0.0062
0.0764
0.8472
0.0069
0.0012
car
0.0473
0.0185
0.0006
0.0121
0.8919
0.0297
clutter
0.3610
0.1893
0.1392
0.1149
0.0430
0.1525
Precision/Correctness
0.923
0.960
0.813
0.735
0.876
0.162
Recall/Completeness
0.881
0.969
0.785
0.847
0.892
0.153
F1
0.901
0.965
0.799
0.787
0.884
0.157

Overall accuracy 0.873

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
0.8874
0.0135
0.0409
0.0423
0.0038
0.0121
building
0.0235
0.9423
0.0075
0.0208
0.0023
0.0036
low_veg
0.0533
0.0065
0.7873
0.1452
0.0003
0.0075
tree
0.0559
0.0032
0.1074
0.8302
0.0029
0.0005
car
0.1193
0.0201
0.0007
0.0110
0.8314
0.0176
clutter
0.2460
0.2336
0.1398
0.1472
0.0886
0.1447
Precision/Correctness
0.895
0.950
0.818
0.660
0.804
0.400
Recall/Completeness
0.887
0.942
0.787
0.830
0.831
0.145
F1
0.891
0.946
0.802
0.736
0.818
0.213

Overall accuracy 0.851

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
0.9083
0.0089
0.0365
0.0348
0.0010
0.0105
building
0.0200
0.9517
0.0057
0.0176
0.0022
0.0029
low_veg
0.0469
0.0031
0.8115
0.1323
0.0001
0.0061
tree
0.0418
0.0020
0.0951
0.8582
0.0024
0.0004
car
0.0428
0.0249
0.0002
0.0082
0.9087
0.0153
clutter
0.2265
0.2399
0.1336
0.1496
0.0997
0.1506
Precision/Correctness
0.919
0.965
0.844
0.694
0.838
0.391
Recall/Completeness
0.908
0.952
0.812
0.858
0.909
0.151
F1
0.914
0.958
0.827
0.767
0.872
0.217

Overall accuracy 0.877

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
0.8914
0.0099
0.0331
0.0510
0.0043
0.0104
building
0.0193
0.9534
0.0069
0.0131
0.0006
0.0068
low_veg
0.0607
0.0044
0.7508
0.1776
0.0005
0.0059
tree
0.0454
0.0069
0.0734
0.8680
0.0051
0.0011
car
0.0958
0.0234
0.0020
0.0341
0.8262
0.0184
clutter
0.2900
0.1380
0.1489
0.1873
0.0320
0.2038
Precision/Correctness
0.831
0.939
0.818
0.690
0.776
0.706
Recall/Completeness
0.891
0.953
0.751
0.868
0.826
0.204
F1
0.860
0.946
0.783
0.769
0.800
0.316

Overall accuracy 0.821

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
0.9121
0.0080
0.0274
0.0416
0.0015
0.0094
building
0.0169
0.9613
0.0043
0.0104
0.0005
0.0066
low_veg
0.0434
0.0021
0.7800
0.1696
0.0001
0.0048
tree
0.0354
0.0059
0.0663
0.8874
0.0042
0.0009
car
0.0336
0.0247
0.0012
0.0253
0.8970
0.0181
clutter
0.2946
0.1155
0.1395
0.1890
0.0328
0.2285
Precision/Correctness
0.858
0.955
0.843
0.720
0.804
0.732
Recall/Completeness
0.912
0.961
0.780
0.887
0.897
0.228
F1
0.884
0.958
0.810
0.795
0.848
0.348

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: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8692
0.0048
0.0395
0.0621
0.0056
0.0189
building
0.0139
0.9380
0.0111
0.0320
0.0019
0.0031
low_veg
0.0600
0.0043
0.6664
0.2639
0.0001
0.0053
tree
0.0313
0.0041
0.0624
0.8989
0.0029
0.0005
car
0.1028
0.0148
0.0020
0.0387
0.8297
0.0120
clutter
0.4684
0.0830
0.1332
0.1399
0.0351
0.1404
Precision/Correctness
0.871
0.962
0.731
0.562
0.798
0.510
Recall/Completeness
0.869
0.938
0.666
0.899
0.830
0.140
F1
0.870
0.950
0.697
0.692
0.814
0.220

Overall accuracy 0.809

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
0.8871
0.0025
0.0364
0.0525
0.0028
0.0188
building
0.0105
0.9506
0.0093
0.0259
0.0013
0.0024
low_veg
0.0350
0.0016
0.7000
0.2589
0.0000
0.0045
tree
0.0226
0.0027
0.0554
0.9165
0.0024
0.0004
car
0.0415
0.0180
0.0008
0.0332
0.8975
0.0090
clutter
0.5006
0.0559
0.1226
0.1358
0.0357
0.1494
Precision/Correctness
0.891
0.978
0.753
0.594
0.825
0.520
Recall/Completeness
0.887
0.951
0.700
0.917
0.897
0.149
F1
0.889
0.964
0.726
0.720
0.860
0.232

Overall accuracy 0.833

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
0.9121
0.0202
0.0268
0.0326
0.0022
0.0062
building
0.0341
0.8774
0.0236
0.0401
0.0042
0.0205
low_veg
0.0201
0.0024
0.9068
0.0696
0.0001
0.0010
tree
0.0638
0.0023
0.1182
0.8135
0.0015
0.0006
car
0.1133
0.0354
0.0001
0.0122
0.8292
0.0099
clutter
0.4297
0.0482
0.2622
0.1039
0.0344
0.1216
Precision/Correctness
0.918
0.955
0.859
0.704
0.787
0.244
Recall/Completeness
0.912
0.877
0.907
0.813
0.829
0.122
F1
0.915
0.915
0.882
0.755
0.807
0.162

Overall accuracy 0.874

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
0.9297
0.0178
0.0212
0.0252
0.0006
0.0055
building
0.0299
0.8896
0.0179
0.0384
0.0042
0.0200
low_veg
0.0099
0.0012
0.9281
0.0602
0.0000
0.0006
tree
0.0464
0.0017
0.1076
0.8424
0.0012
0.0006
car
0.0458
0.0454
0.0001
0.0097
0.8892
0.0098
clutter
0.4379
0.0458
0.2688
0.0935
0.0304
0.1236
Precision/Correctness
0.937
0.963
0.880
0.736
0.818
0.235
Recall/Completeness
0.930
0.890
0.928
0.842
0.889
0.124
F1
0.933
0.925
0.903
0.785
0.852
0.162

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: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9238
0.0039
0.0355
0.0250
0.0057
0.0061
building
0.0544
0.9126
0.0103
0.0149
0.0025
0.0054
low_veg
0.0541
0.0039
0.8215
0.1173
0.0002
0.0030
tree
0.0424
0.0054
0.1070
0.8376
0.0067
0.0008
car
0.0848
0.0112
0.0038
0.0299
0.8533
0.0171
clutter
0.3182
0.1136
0.1891
0.2390
0.0467
0.0934
Precision/Correctness
0.903
0.980
0.800
0.672
0.850
0.299
Recall/Completeness
0.924
0.913
0.822
0.838
0.853
0.093
F1
0.913
0.945
0.811
0.746
0.852
0.142

Overall accuracy 0.875

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
0.9421
0.0018
0.0300
0.0199
0.0008
0.0053
building
0.0495
0.9256
0.0065
0.0120
0.0021
0.0043
low_veg
0.0356
0.0014
0.8535
0.1078
0.0000
0.0016
tree
0.0329
0.0044
0.0957
0.8606
0.0056
0.0008
car
0.0331
0.0131
0.0024
0.0254
0.9124
0.0136
clutter
0.3166
0.1266
0.1751
0.2506
0.0448
0.0863
Precision/Correctness
0.922
0.985
0.827
0.708
0.903
0.304
Recall/Completeness
0.942
0.926
0.854
0.861
0.912
0.086
F1
0.932
0.955
0.840
0.777
0.908
0.134

Overall accuracy 0.897

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
0.8780
0.0060
0.0374
0.0587
0.0079
0.0120
building
0.0218
0.8978
0.0200
0.0538
0.0017
0.0048
low_veg
0.0608
0.0022
0.7493
0.1813
0.0011
0.0054
tree
0.0187
0.0036
0.1412
0.8308
0.0049
0.0009
car
0.0652
0.0130
0.0012
0.0324
0.8806
0.0076
clutter
0.2475
0.0158
0.2590
0.1956
0.0633
0.2189
Precision/Correctness
0.908
0.979
0.664
0.635
0.769
0.657
Recall/Completeness
0.878
0.898
0.749
0.831
0.881
0.219
F1
0.893
0.937
0.704
0.720
0.821
0.328

Overall accuracy 0.817

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
0.9005
0.0039
0.0318
0.0499
0.0019
0.0120
building
0.0171
0.9100
0.0166
0.0508
0.0013
0.0041
low_veg
0.0391
0.0006
0.7871
0.1688
0.0001
0.0042
tree
0.0126
0.0025
0.1274
0.8529
0.0039
0.0008
car
0.0174
0.0159
0.0005
0.0241
0.9361
0.0061
clutter
0.2509
0.0144
0.2602
0.1867
0.0599
0.2278
Precision/Correctness
0.927
0.986
0.682
0.666
0.816
0.679
Recall/Completeness
0.901
0.910
0.787
0.853
0.936
0.228
F1
0.914
0.946
0.731
0.748
0.872
0.341

Overall accuracy 0.840

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
0.8718
0.0463
0.0225
0.0405
0.0037
0.0152
building
0.0324
0.9219
0.0063
0.0152
0.0043
0.0200
low_veg
0.0514
0.0074
0.7477
0.1913
0.0003
0.0020
tree
0.0176
0.0057
0.1386
0.8362
0.0010
0.0008
car
0.0984
0.0300
0.0013
0.0456
0.8146
0.0101
clutter
0.6027
0.0263
0.0906
0.0395
0.0198
0.2211
Precision/Correctness
0.861
0.885
0.705
0.581
0.704
0.617
Recall/Completeness
0.872
0.922
0.748
0.836
0.815
0.221
F1
0.867
0.903
0.726
0.685
0.755
0.325

Overall accuracy 0.808

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
0.8864
0.0437
0.0195
0.0331
0.0021
0.0152
building
0.0296
0.9285
0.0050
0.0134
0.0038
0.0197
low_veg
0.0369
0.0050
0.7753
0.1815
0.0001
0.0013
tree
0.0094
0.0042
0.1296
0.8553
0.0006
0.0009
car
0.0388
0.0353
0.0006
0.0367
0.8794
0.0093
clutter
0.6039
0.0248
0.0899
0.0389
0.0176
0.2248
Precision/Correctness
0.869
0.894
0.722
0.604
0.725
0.626
Recall/Completeness
0.886
0.929
0.775
0.855
0.879
0.225
F1
0.878
0.911
0.748
0.708
0.795
0.331

Overall accuracy 0.822

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image