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Erratum

Erratum: Axelsson, A.; et al. Exploring Multispectral ALS Data for Tree Species Classification. Remote Sens. 2018, 10, 183

by
Remote Sensing Editorial Office
MDPI AG, St. Alban-Anlage 66, CH-4052 Basel, Switzerland
Remote Sens. 2018, 10(4), 548; https://doi.org/10.3390/rs10040548
Submission received: 30 March 2018 / Revised: 30 March 2018 / Accepted: 2 April 2018 / Published: 3 April 2018
The Editorial Office of Remote Sensing wish to report an error in the published paper [1]; Table 6, Table 7 and Table 8 were incorrect. The correct tables are as follows:
We apologize for any inconvenience caused to the readers by this change. The change does not affect the scientific results. The manuscript will be updated and the original will remain available on the article webpage.

Reference

  1. Axelsson, A.; Lindberg, E.; Olsson, H. Exploring Multispectral ALS Data for Tree Species Classification. Remote Sens. 2018, 10, 183. [Google Scholar] [CrossRef]
Table 6. Confusion matrix for the best performing model (features used are: P 90 C 1 , Q ¯ C 1 , Q 05 C 1 , Q 50 C 1 , Q 90 C 2 , Q 95 C 2 , Q 01 C 3   and   Q 90 C 3 ).
Table 6. Confusion matrix for the best performing model (features used are: P 90 C 1 , Q ¯ C 1 , Q 05 C 1 , Q 50 C 1 , Q 90 C 2 , Q 95 C 2 , Q 01 C 3   and   Q 90 C 3 ).
Classification (Number of Trees)Reference (Number of Trees)User’s (%)
ALMBASSCPOL
AL10000000150
M012000001280
B002400200577
AS100150103268
S0000140000100
C00020200050
P000010290097
O200500031474
L31210003947
Producer’s (%)1492926593401008239Overall: 76.5
: AL, alder; M, maple; B, birch; AS, ash; S, spruce; C, cherry; P, pine; O, oak; L, linden.
Table 7. Confusion matrix for the model created by using only the spectral feature subset from the feature set resulting in the best performing model (features used are: Q ¯ C 1 , Q 05 C 1 , Q 90 C 2 , Q 95 C 2 , Q 01 C 3 and Q 90 C 3 ).
Table 7. Confusion matrix for the model created by using only the spectral feature subset from the feature set resulting in the best performing model (features used are: Q ¯ C 1 , Q 05 C 1 , Q 90 C 2 , Q 95 C 2 , Q 01 C 3 and Q 90 C 3 ).
Classification (Number of Trees)Reference (Number of Trees)User’s (%)
ALMBASSCPOL
AL10000000150
M012000001280
B002400400573
AS000160103273
S0000140000100
C0001000000
P000010290097
O200500031474
L41210003945
Producer’s (%)149292709301008239Overall: 76.0
: AL, alder; M, maple; B, birch; AS, ash; S, spruce; C, cherry; P, pine; O, oak; L, linden.
Table 8. Confusion matrix for the model created by using only the structural feature subset from the feature set resulting in the best performing model (features used are: P 10 C 1 , dns C 1 , P 10 C 2 and P 25 C 3 ).
Table 8. Confusion matrix for the model created by using only the structural feature subset from the feature set resulting in the best performing model (features used are: P 10 C 1 , dns C 1 , P 10 C 2 and P 25 C 3 ).
Classification (Number of Trees)Reference (Number of Trees)User’s (%)
ALMBASSCPOL
AL0101110020
M0000000000
B0001000000
AS054117005133
S00124001050
C0000000000
P002300262079
O57124243261334
L20711004732
Producer’s (%)00048270906830Overall: 41.3
: AL, alder; M, maple; B, birch; AS, ash; S, spruce; C, cherry; P, pine; O, oak; L, linden.

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MDPI and ACS Style

Remote Sensing Editorial Office. Erratum: Axelsson, A.; et al. Exploring Multispectral ALS Data for Tree Species Classification. Remote Sens. 2018, 10, 183. Remote Sens. 2018, 10, 548. https://doi.org/10.3390/rs10040548

AMA Style

Remote Sensing Editorial Office. Erratum: Axelsson, A.; et al. Exploring Multispectral ALS Data for Tree Species Classification. Remote Sens. 2018, 10, 183. Remote Sensing. 2018; 10(4):548. https://doi.org/10.3390/rs10040548

Chicago/Turabian Style

Remote Sensing Editorial Office. 2018. "Erratum: Axelsson, A.; et al. Exploring Multispectral ALS Data for Tree Species Classification. Remote Sens. 2018, 10, 183" Remote Sensing 10, no. 4: 548. https://doi.org/10.3390/rs10040548

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