Finding analytical solutions to abundance fully-constrained linear spectral mixture analysis

Hsiao Chi Li; Meiping Song; Chein I. Chang

doi:10.1109/IGARSS.2014.6947282

Finding analytical solutions to abundance fully-constrained linear spectral mixture analysis

Hsiao Chi Li, Meiping Song, Chein I. Chang

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

This paper revisits a well-known fully constrained least squares (FCLS) method developed by Heinz and Chang and develops an approach to finding analytical solutions to FCLS, called analytical FCLS (AFCLS) which can be solved in closed forms instead of FCLS being solved by numerically algorithms. As a result, the AFCLS-unmixed results using analytical solutions are more accurate than FCLS-unmixed results resulting from numerical solutions.

Original language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3682-3685
Number of pages	4
ISBN (Electronic)	9781479957750
DOIs	https://doi.org/10.1109/IGARSS.2014.6947282
Publication status	Published - 2014 Nov 4
Event	Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada Duration: 2014 Jul 13 → 2014 Jul 18

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other	Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Country/Territory	Canada
City	Quebec City
Period	14-07-13 → 14-07-18

All Science Journal Classification (ASJC) codes

Computer Science Applications
General Earth and Planetary Sciences

Access to Document

10.1109/IGARSS.2014.6947282

Cite this

Li, H. C., Song, M., & Chang, C. I. (2014). Finding analytical solutions to abundance fully-constrained linear spectral mixture analysis. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 3682-3685). Article 6947282 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2014.6947282

@inproceedings{ee88c2b593ec456dbef2d408ae188e75,

title = "Finding analytical solutions to abundance fully-constrained linear spectral mixture analysis",

abstract = "This paper revisits a well-known fully constrained least squares (FCLS) method developed by Heinz and Chang and develops an approach to finding analytical solutions to FCLS, called analytical FCLS (AFCLS) which can be solved in closed forms instead of FCLS being solved by numerically algorithms. As a result, the AFCLS-unmixed results using analytical solutions are more accurate than FCLS-unmixed results resulting from numerical solutions.",

author = "Li, {Hsiao Chi} and Meiping Song and Chang, {Chein I.}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 ; Conference date: 13-07-2014 Through 18-07-2014",

year = "2014",

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doi = "10.1109/IGARSS.2014.6947282",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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Li, HC, Song, M & Chang, CI 2014, Finding analytical solutions to abundance fully-constrained linear spectral mixture analysis. in International Geoscience and Remote Sensing Symposium (IGARSS)., 6947282, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 3682-3685, Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014, Quebec City, Canada, 14-07-13. https://doi.org/10.1109/IGARSS.2014.6947282

Finding analytical solutions to abundance fully-constrained linear spectral mixture analysis. / Li, Hsiao Chi; Song, Meiping; Chang, Chein I.
International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc., 2014. p. 3682-3685 6947282 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Li, Hsiao Chi

AU - Song, Meiping

AU - Chang, Chein I.

PY - 2014/11/4

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N2 - This paper revisits a well-known fully constrained least squares (FCLS) method developed by Heinz and Chang and develops an approach to finding analytical solutions to FCLS, called analytical FCLS (AFCLS) which can be solved in closed forms instead of FCLS being solved by numerically algorithms. As a result, the AFCLS-unmixed results using analytical solutions are more accurate than FCLS-unmixed results resulting from numerical solutions.

AB - This paper revisits a well-known fully constrained least squares (FCLS) method developed by Heinz and Chang and develops an approach to finding analytical solutions to FCLS, called analytical FCLS (AFCLS) which can be solved in closed forms instead of FCLS being solved by numerically algorithms. As a result, the AFCLS-unmixed results using analytical solutions are more accurate than FCLS-unmixed results resulting from numerical solutions.

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BT - International Geoscience and Remote Sensing Symposium (IGARSS)

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Y2 - 13 July 2014 through 18 July 2014

ER -

Finding analytical solutions to abundance fully-constrained linear spectral mixture analysis

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