論文

2017年12月1日

Using time series to improve endmembers estimation on multispectral images for snow monitoring

International Geoscience and Remote Sensing Symposium (IGARSS)
  • T. Masson
  • ,
  • M. Dalla Mura
  • ,
  • M. Dumont
  • ,
  • J. Chanussot

2017-July
開始ページ
233
終了ページ
236
記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/IGARSS.2017.8126937

© 2017 IEEE. We propose to use the temporal coherence of a time series to extract using Vertex Component Analysis (VCA) the suitable set of endmembers for each scene. The reconstruction error computed on the two previous scenes for each date is used to constrain the selection of the set of endmembers produced by VCA. Snow cover estimation is considered as application. We tested different approaches for abundance estimation (FCLSU, SUnSAL, ELMM) over the French Alps from Moderate Resolution Imaging Spectroradiometer (MODIS) images. Results shows a decrease of the false positive rate with the proposed approach.

リンク情報
DOI
https://doi.org/10.1109/IGARSS.2017.8126937
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85041827610&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85041827610&origin=inward

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