Detailled semantic labeling (2D) result


Name W. Tang
Affiliation Wuhan University, China
Abbreviation WUH_WT
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
0.892
0.039
0.044
0.019
0.006
0.000
building
0.056
0.915
0.023
0.005
0.001
0.000
low_veg
0.060
0.030
0.762
0.148
0.001
0.000
tree
0.023
0.006
0.100
0.870
0.000
0.000
car
0.261
0.048
0.011
0.005
0.675
0.000
clutter
0.371
0.333
0.013
0.016
0.032
0.234
Precision/Correctness
0.863
0.914
0.800
0.836
0.783
0.938
Recall/Completeness
0.892
0.915
0.762
0.870
0.675
0.234
F1
0.877
0.914
0.781
0.853
0.725
0.375

Overall accuracy 0.856

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
0.921
0.031
0.035
0.009
0.003
0.000
building
0.048
0.932
0.017
0.002
0.001
0.000
low_veg
0.047
0.021
0.798
0.133
0.000
0.000
tree
0.012
0.002
0.083
0.903
0.000
0.000
car
0.168
0.053
0.007
0.002
0.769
0.000
clutter
0.333
0.354
0.010
0.011
0.034
0.258
Precision/Correctness
0.895
0.936
0.837
0.866
0.829
0.956
Recall/Completeness
0.921
0.932
0.798
0.903
0.769
0.258
F1
0.907
0.934
0.817
0.884
0.798
0.406

Overall accuracy 0.887
=============================================================

Tile top_mosaic_09cm_area2_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9215
0.0233
0.0301
0.0160
0.0088
0.0002
building
0.0611
0.9137
0.0210
0.0038
0.0004
0.0000
low_veg
0.0796
0.0219
0.7085
0.1899
0.0002
0.0000
tree
0.0329
0.0050
0.0929
0.8681
0.0002
0.0008
car
0.2850
0.0114
0.0033
0.0010
0.6994
0.0000
clutter
0.0505
0.0000
0.0000
0.0288
0.0000
0.9207
Precision/Correctness
0.831
0.943
0.830
0.805
0.820
0.985
Recall/Completeness
0.922
0.914
0.708
0.868
0.699
0.921
F1
0.874
0.928
0.765
0.835
0.755
0.952

Overall accuracy 0.851

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area2_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9503
0.0195
0.0185
0.0057
0.0058
0.0002
building
0.0530
0.9333
0.0121
0.0011
0.0005
0.0000
low_veg
0.0619
0.0125
0.7405
0.1849
0.0001
0.0000
tree
0.0176
0.0019
0.0793
0.9010
0.0000
0.0003
car
0.1755
0.0107
0.0018
0.0001
0.8119
0.0000
clutter
0.0502
0.0000
0.0000
0.0121
0.0000
0.9378
Precision/Correctness
0.871
0.963
0.867
0.829
0.861
0.994
Recall/Completeness
0.950
0.933
0.741
0.901
0.812
0.938
F1
0.909
0.948
0.799
0.864
0.836
0.965

Overall accuracy 0.882

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area4_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9145
0.0585
0.0141
0.0057
0.0073
0.0000
building
0.0741
0.9141
0.0088
0.0016
0.0014
0.0000
low_veg
0.1655
0.0623
0.5000
0.2699
0.0022
0.0000
tree
0.0575
0.0192
0.0693
0.8528
0.0012
0.0000
car
0.3278
0.0164
0.0019
0.0019
0.6520
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.825
0.961
0.643
0.737
0.754
--
Recall/Completeness
0.915
0.914
0.500
0.853
0.652
--
F1
0.868
0.937
0.562
0.791
0.699
--

Overall accuracy 0.888

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area4_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9446
0.0384
0.0106
0.0022
0.0042
0.0000
building
0.0613
0.9294
0.0074
0.0005
0.0014
0.0000
low_veg
0.1301
0.0286
0.5453
0.2949
0.0011
0.0000
tree
0.0328
0.0102
0.0611
0.8956
0.0004
0.0000
car
0.2440
0.0130
0.0003
0.0002
0.7425
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.855
0.977
0.681
0.768
0.795
--
Recall/Completeness
0.945
0.929
0.545
0.896
0.742
--
F1
0.898
0.953
0.606
0.827
0.768
--

Overall accuracy 0.914

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area6_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8911
0.0514
0.0347
0.0123
0.0106
0.0000
building
0.0678
0.9112
0.0167
0.0036
0.0006
0.0000
low_veg
0.0890
0.0318
0.7157
0.1623
0.0012
0.0000
tree
0.0215
0.0047
0.0622
0.9112
0.0004
0.0000
car
0.2820
0.0112
0.0039
0.0012
0.7017
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.842
0.944
0.702
0.924
0.784
--
Recall/Completeness
0.891
0.911
0.716
0.911
0.702
--
F1
0.866
0.927
0.709
0.917
0.740
--

Overall accuracy 0.882

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area6_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9295
0.0355
0.0248
0.0041
0.0061
0.0000
building
0.0580
0.9282
0.0121
0.0013
0.0004
0.0000
low_veg
0.0728
0.0151
0.7691
0.1424
0.0007
0.0000
tree
0.0109
0.0016
0.0493
0.9380
0.0002
0.0000
car
0.1874
0.0047
0.0020
0.0002
0.8056
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.877
0.967
0.749
0.948
0.847
--
Recall/Completeness
0.930
0.928
0.769
0.938
0.806
--
F1
0.902
0.947
0.759
0.943
0.826
--

Overall accuracy 0.914

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area8_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8709
0.0291
0.0821
0.0116
0.0063
0.0000
building
0.0406
0.9353
0.0186
0.0044
0.0011
0.0000
low_veg
0.0613
0.0172
0.8345
0.0863
0.0008
0.0000
tree
0.0276
0.0061
0.0880
0.8782
0.0001
0.0000
car
0.2877
0.0125
0.0145
0.0033
0.6795
0.0024
clutter
--
--
--
--
--
--
Precision/Correctness
0.892
0.938
0.762
0.906
0.827
--
Recall/Completeness
0.871
0.935
0.834
0.878
0.680
--
F1
0.882
0.937
0.796
0.892
0.746
--

Overall accuracy 0.877

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area8_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9007
0.0213
0.0709
0.0040
0.0031
0.0000
building
0.0314
0.9553
0.0105
0.0017
0.0010
0.0000
low_veg
0.0451
0.0095
0.8688
0.0764
0.0003
0.0000
tree
0.0122
0.0025
0.0663
0.9189
0.0000
0.0000
car
0.1949
0.0084
0.0095
0.0012
0.7836
0.0025
clutter
--
--
--
--
--
--
Precision/Correctness
0.928
0.961
0.805
0.930
0.889
--
Recall/Completeness
0.901
0.955
0.869
0.919
0.784
--
F1
0.914
0.958
0.836
0.925
0.833
--

Overall accuracy 0.910

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area10_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8488
0.0733
0.0520
0.0224
0.0035
0.0000
building
0.0362
0.9312
0.0214
0.0110
0.0003
0.0000
low_veg
0.0718
0.0445
0.7234
0.1599
0.0003
0.0000
tree
0.0188
0.0083
0.0922
0.8805
0.0001
0.0000
car
0.2713
0.0404
0.0087
0.0024
0.6772
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.922
0.855
0.745
0.822
0.769
--
Recall/Completeness
0.849
0.931
0.723
0.881
0.677
--
F1
0.884
0.891
0.734
0.850
0.720
--

Overall accuracy 0.852

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area10_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8815
0.0612
0.0434
0.0115
0.0024
0.0000
building
0.0287
0.9474
0.0156
0.0081
0.0002
0.0000
low_veg
0.0676
0.0334
0.7640
0.1347
0.0003
0.0000
tree
0.0085
0.0038
0.0708
0.9168
0.0000
0.0000
car
0.1678
0.0444
0.0039
0.0003
0.7836
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.942
0.883
0.788
0.863
0.804
--
Recall/Completeness
0.882
0.947
0.764
0.917
0.784
--
F1
0.911
0.914
0.776
0.889
0.794
--

Overall accuracy 0.884

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area12_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8539
0.0480
0.0620
0.0309
0.0052
0.0000
building
0.0764
0.8991
0.0152
0.0063
0.0000
0.0030
low_veg
0.0435
0.0273
0.7754
0.1536
0.0003
0.0000
tree
0.0093
0.0075
0.1168
0.8663
0.0000
0.0000
car
0.2028
0.0013
0.0014
0.0043
0.7903
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.793
0.907
0.804
0.865
0.825
--
Recall/Completeness
0.854
0.899
0.775
0.866
0.790
--
F1
0.822
0.903
0.789
0.866
0.807
--

Overall accuracy 0.844

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area12_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8837
0.0461
0.0520
0.0158
0.0024
0.0000
building
0.0785
0.9107
0.0059
0.0017
0.0000
0.0032
low_veg
0.0413
0.0179
0.8115
0.1291
0.0002
0.0000
tree
0.0042
0.0028
0.0990
0.8940
0.0000
0.0000
car
0.0892
0.0002
0.0000
0.0000
0.9107
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.814
0.933
0.835
0.895
0.889
--
Recall/Completeness
0.884
0.911
0.811
0.894
0.911
--
F1
0.847
0.922
0.823
0.894
0.900
--

Overall accuracy 0.872

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area14_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8398
0.0446
0.0766
0.0336
0.0055
0.0000
building
0.0187
0.9576
0.0194
0.0043
0.0000
0.0000
low_veg
0.0764
0.0533
0.7047
0.1649
0.0008
0.0000
tree
0.0266
0.0132
0.1217
0.8385
0.0001
0.0000
car
0.1626
0.0000
0.0070
0.0038
0.8266
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.857
0.857
0.744
0.848
0.599
--
Recall/Completeness
0.840
0.958
0.705
0.839
0.827
--
F1
0.849
0.904
0.724
0.843
0.694
--

Overall accuracy 0.826

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area14_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8611
0.0390
0.0719
0.0234
0.0045
0.0000
building
0.0141
0.9738
0.0104
0.0017
0.0000
0.0000
low_veg
0.0712
0.0375
0.7355
0.1550
0.0008
0.0000
tree
0.0185
0.0060
0.1084
0.8670
0.0001
0.0000
car
0.0668
0.0000
0.0045
0.0010
0.9277
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.883
0.892
0.768
0.869
0.590
--
Recall/Completeness
0.861
0.974
0.736
0.867
0.928
--
F1
0.872
0.931
0.751
0.868
0.721
--

Overall accuracy 0.852

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area16_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8081
0.0382
0.0986
0.0509
0.0041
0.0000
building
0.0325
0.9285
0.0278
0.0110
0.0001
0.0000
low_veg
0.0198
0.0219
0.8332
0.1248
0.0000
0.0002
tree
0.0219
0.0055
0.1231
0.8494
0.0001
0.0000
car
0.1917
0.0056
0.0297
0.0000
0.7730
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.861
0.920
0.791
0.869
0.708
--
Recall/Completeness
0.808
0.928
0.833
0.849
0.773
--
F1
0.834
0.924
0.811
0.859
0.739
--

Overall accuracy 0.852

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area16_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8443
0.0326
0.0876
0.0330
0.0025
0.0000
building
0.0291
0.9492
0.0170
0.0046
0.0001
0.0000
low_veg
0.0160
0.0148
0.8583
0.1107
0.0000
0.0002
tree
0.0145
0.0020
0.1082
0.8752
0.0001
0.0000
car
0.1042
0.0012
0.0169
0.0000
0.8777
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.892
0.944
0.820
0.893
0.766
--
Recall/Completeness
0.844
0.949
0.858
0.875
0.878
--
F1
0.867
0.947
0.839
0.884
0.818
--

Overall accuracy 0.879

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area20_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8411
0.0580
0.0489
0.0473
0.0047
0.0000
building
0.0160
0.9612
0.0156
0.0067
0.0004
0.0000
low_veg
0.0446
0.0363
0.7290
0.1900
0.0001
0.0000
tree
0.0091
0.0024
0.0563
0.9322
0.0000
0.0000
car
0.1606
0.0171
0.0137
0.0116
0.7970
0.0000
clutter
0.0740
0.9186
0.0060
0.0015
0.0000
0.0000
Precision/Correctness
0.906
0.779
0.798
0.890
0.756
0.000
Recall/Completeness
0.841
0.961
0.729
0.932
0.797
0.000
F1
0.872
0.861
0.762
0.910
0.776
-nan

Overall accuracy 0.854

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area20_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8754
0.0485
0.0444
0.0288
0.0030
0.0000
building
0.0138
0.9733
0.0106
0.0019
0.0005
0.0000
low_veg
0.0383
0.0248
0.7744
0.1625
0.0001
0.0000
tree
0.0042
0.0008
0.0436
0.9515
0.0000
0.0000
car
0.0762
0.0148
0.0030
0.0036
0.9024
0.0000
clutter
0.0692
0.9263
0.0041
0.0004
0.0000
0.0000
Precision/Correctness
0.930
0.799
0.831
0.917
0.793
0.000
Recall/Completeness
0.875
0.973
0.774
0.951
0.902
0.000
F1
0.902
0.877
0.802
0.934
0.844
-nan

Overall accuracy 0.880

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area22_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8862
0.0290
0.0394
0.0376
0.0077
0.0001
building
0.0287
0.9493
0.0129
0.0089
0.0001
0.0000
low_veg
0.0930
0.0424
0.6919
0.1727
0.0000
0.0000
tree
0.0221
0.0042
0.0609
0.9125
0.0001
0.0000
car
0.2186
0.0207
0.0182
0.0097
0.7327
0.0001
clutter
--
--
--
--
--
--
Precision/Correctness
0.897
0.898
0.810
0.844
0.759
--
Recall/Completeness
0.886
0.949
0.692
0.913
0.733
--
F1
0.891
0.923
0.747
0.877
0.746
--

Overall accuracy 0.864

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area22_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9219
0.0199
0.0325
0.0205
0.0051
0.0001
building
0.0233
0.9666
0.0059
0.0042
0.0000
0.0000
low_veg
0.0905
0.0278
0.7358
0.1458
0.0000
0.0000
tree
0.0098
0.0012
0.0444
0.9445
0.0001
0.0000
car
0.1299
0.0225
0.0103
0.0023
0.8350
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.921
0.934
0.855
0.883
0.800
--
Recall/Completeness
0.922
0.967
0.736
0.945
0.835
--
F1
0.921
0.950
0.791
0.913
0.817
--

Overall accuracy 0.899

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area24_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8084
0.0570
0.0893
0.0402
0.0051
0.0000
building
0.0624
0.8826
0.0470
0.0077
0.0003
0.0000
low_veg
0.0280
0.0235
0.8631
0.0847
0.0007
0.0000
tree
0.0177
0.0082
0.1600
0.8138
0.0003
0.0000
car
0.2719
0.0022
0.0091
0.0052
0.7116
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.804
0.892
0.850
0.830
0.698
--
Recall/Completeness
0.808
0.883
0.863
0.814
0.712
--
F1
0.806
0.887
0.857
0.822
0.705
--

Overall accuracy 0.846

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area24_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8408
0.0462
0.0808
0.0288
0.0035
0.0000
building
0.0596
0.8946
0.0404
0.0051
0.0003
0.0000
low_veg
0.0245
0.0181
0.8834
0.0732
0.0007
0.0000
tree
0.0117
0.0040
0.1397
0.8443
0.0003
0.0000
car
0.1580
0.0000
0.0018
0.0021
0.8382
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.828
0.919
0.872
0.855
0.709
--
Recall/Completeness
0.841
0.895
0.883
0.844
0.838
--
F1
0.834
0.906
0.878
0.850
0.768
--

Overall accuracy 0.870

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area27_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9193
0.0366
0.0247
0.0086
0.0108
0.0000
building
0.0832
0.8880
0.0242
0.0042
0.0003
0.0001
low_veg
0.0811
0.0311
0.6686
0.2189
0.0004
0.0000
tree
0.0139
0.0076
0.0595
0.9188
0.0002
0.0000
car
0.2983
0.0121
0.0096
0.0038
0.6760
0.0002
clutter
0.5381
0.2315
0.1559
0.0158
0.0587
0.0000
Precision/Correctness
0.837
0.941
0.850
0.661
0.853
0.000
Recall/Completeness
0.919
0.888
0.669
0.919
0.676
0.000
F1
0.876
0.914
0.749
0.769
0.754
-nan

Overall accuracy 0.849

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area27_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9481
0.0266
0.0174
0.0039
0.0040
0.0000
building
0.0727
0.9067
0.0186
0.0018
0.0002
0.0000
low_veg
0.0621
0.0166
0.7110
0.2102
0.0001
0.0000
tree
0.0058
0.0033
0.0421
0.9487
0.0001
0.0000
car
0.2093
0.0109
0.0071
0.0025
0.7699
0.0003
clutter
0.5542
0.2107
0.1504
0.0105
0.0742
0.0000
Precision/Correctness
0.870
0.963
0.889
0.690
0.926
0.000
Recall/Completeness
0.948
0.907
0.711
0.949
0.770
0.000
F1
0.907
0.934
0.790
0.799
0.841
-nan

Overall accuracy 0.882

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area29_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9324
0.0212
0.0262
0.0135
0.0066
0.0000
building
0.0415
0.9338
0.0174
0.0071
0.0002
0.0000
low_veg
0.0702
0.0214
0.6485
0.2586
0.0013
0.0000
tree
0.0077
0.0038
0.0395
0.9490
0.0000
0.0000
car
0.2354
0.0052
0.0045
0.0097
0.7453
0.0000
clutter
0.4780
0.4456
0.0265
0.0098
0.0372
0.0029
Precision/Correctness
0.908
0.908
0.820
0.692
0.707
0.968
Recall/Completeness
0.932
0.934
0.649
0.949
0.745
0.003
F1
0.920
0.920
0.724
0.800
0.726
0.006

Overall accuracy 0.862

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area29_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9566
0.0139
0.0186
0.0065
0.0044
0.0000
building
0.0356
0.9495
0.0110
0.0037
0.0002
0.0000
low_veg
0.0484
0.0098
0.6940
0.2472
0.0006
0.0000
tree
0.0025
0.0017
0.0282
0.9676
0.0000
0.0000
car
0.1463
0.0046
0.0039
0.0069
0.8383
0.0000
clutter
0.4639
0.4692
0.0192
0.0046
0.0402
0.0029
Precision/Correctness
0.930
0.930
0.866
0.731
0.732
0.997
Recall/Completeness
0.957
0.950
0.694
0.968
0.838
0.003
F1
0.943
0.939
0.771
0.833
0.781
0.006

Overall accuracy 0.893

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area31_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9551
0.0186
0.0138
0.0041
0.0081
0.0003
building
0.0867
0.9005
0.0074
0.0020
0.0031
0.0003
low_veg
0.0618
0.0089
0.8808
0.0471
0.0009
0.0005
tree
0.0527
0.0053
0.0928
0.8476
0.0015
0.0000
car
0.1837
0.2021
0.0097
0.0045
0.5996
0.0004
clutter
0.4911
0.3033
0.0191
0.0410
0.0692
0.0764
Precision/Correctness
0.856
0.903
0.874
0.900
0.766
0.898
Recall/Completeness
0.955
0.901
0.881
0.848
0.600
0.076
F1
0.903
0.902
0.877
0.873
0.672
0.141

Overall accuracy 0.874

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area31_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9696
0.0151
0.0108
0.0009
0.0034
0.0002
building
0.0746
0.9193
0.0031
0.0003
0.0026
0.0002
low_veg
0.0421
0.0047
0.9132
0.0398
0.0001
0.0001
tree
0.0233
0.0013
0.0752
0.9000
0.0003
0.0000
car
0.1047
0.2292
0.0053
0.0019
0.6587
0.0003
clutter
0.4377
0.3441
0.0181
0.0383
0.0757
0.0861
Precision/Correctness
0.890
0.918
0.907
0.928
0.810
0.948
Recall/Completeness
0.970
0.919
0.913
0.900
0.659
0.086
F1
0.928
0.919
0.910
0.914
0.727
0.158

Overall accuracy 0.903

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area33_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9621
0.0220
0.0091
0.0037
0.0020
0.0011
building
0.0644
0.8718
0.0580
0.0038
0.0011
0.0008
low_veg
0.0879
0.0156
0.8324
0.0639
0.0002
0.0000
tree
0.0531
0.0066
0.1239
0.8164
0.0000
0.0001
car
0.3123
0.0408
0.0125
0.0053
0.6291
0.0000
clutter
0.5349
0.1656
0.0011
0.0007
0.0344
0.2634
Precision/Correctness
0.840
0.923
0.793
0.873
0.730
0.955
Recall/Completeness
0.962
0.872
0.832
0.816
0.629
0.263
F1
0.897
0.897
0.812
0.844
0.676
0.413

Overall accuracy 0.859

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area33_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9758
0.0171
0.0049
0.0010
0.0010
0.0002
building
0.0561
0.8838
0.0566
0.0018
0.0011
0.0006
low_veg
0.0562
0.0087
0.8732
0.0617
0.0002
0.0000
tree
0.0275
0.0020
0.1132
0.8573
0.0000
0.0000
car
0.1935
0.0434
0.0082
0.0031
0.7519
0.0000
clutter
0.4977
0.1759
0.0004
0.0003
0.0380
0.2876
Precision/Correctness
0.872
0.939
0.812
0.895
0.736
0.983
Recall/Completeness
0.976
0.884
0.873
0.857
0.752
0.288
F1
0.921
0.911
0.842
0.876
0.744
0.445

Overall accuracy 0.884

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area35_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8289
0.0660
0.0781
0.0249
0.0020
0.0001
building
0.0504
0.9229
0.0204
0.0058
0.0005
0.0000
low_veg
0.0508
0.0144
0.7024
0.2323
0.0001
0.0000
tree
0.0344
0.0064
0.1339
0.8251
0.0001
0.0000
car
0.3524
0.0133
0.0065
0.0155
0.6123
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.850
0.919
0.755
0.747
0.868
--
Recall/Completeness
0.829
0.923
0.702
0.825
0.612
--
F1
0.839
0.921
0.728
0.784
0.718
--

Overall accuracy 0.820

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area35_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8731
0.0631
0.0542
0.0088
0.0006
0.0001
building
0.0396
0.9492
0.0094
0.0013
0.0004
0.0000
low_veg
0.0359
0.0060
0.7338
0.2241
0.0001
0.0000
tree
0.0128
0.0022
0.1074
0.8776
0.0000
0.0000
car
0.2474
0.0160
0.0033
0.0076
0.7256
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.898
0.938
0.816
0.777
0.931
--
Recall/Completeness
0.873
0.949
0.734
0.878
0.726
--
F1
0.886
0.944
0.773
0.824
0.816
--

Overall accuracy 0.861

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area38_class.tif, reference set: full_reference


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.8899
0.0349
0.0537
0.0159
0.0046
0.0009
building
0.0362
0.9106
0.0456
0.0063
0.0013
0.0000
low_veg
0.0512
0.0438
0.8043
0.0996
0.0011
0.0000
tree
0.0264
0.0041
0.1276
0.8418
0.0002
0.0000
car
0.2383
0.0583
0.0392
0.0075
0.6568
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.885
0.909
0.815
0.829
0.767
--
Recall/Completeness
0.890
0.911
0.804
0.842
0.657
--
F1
0.888
0.910
0.810
0.835
0.708
--

Overall accuracy 0.860

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image


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

Tile top_mosaic_09cm_area38_class.tif, reference set: no_boundary


↓ predicted || reference →
imp_surf
building
low_veg
tree
car
clutter
imp_surf
0.9207
0.0316
0.0386
0.0057
0.0024
0.0010
building
0.0291
0.9350
0.0322
0.0027
0.0011
0.0000
low_veg
0.0357
0.0402
0.8405
0.0827
0.0009
0.0000
tree
0.0117
0.0011
0.1039
0.8831
0.0001
0.0000
car
0.1528
0.0621
0.0265
0.0013
0.7574
0.0000
clutter
--
--
--
--
--
--
Precision/Correctness
0.922
0.924
0.857
0.870
0.821
--
Recall/Completeness
0.921
0.935
0.841
0.883
0.757
--
F1
0.921
0.930
0.849
0.876
0.788
--

Overall accuracy 0.894

Red/green image, indicating wrongly classified pixels


Original, resized true ortho image for better comparison


Classified image