Combining ALOS AVNIR-2 and PALSAR for land cover classification

Hasi Bagan, Yoshiki Yamagata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent lunched ALOS satellite carries both optical AVNIR-2 and full polarimetric PALSAR sensors that provide both surface spectral and scattering information of the Earth ground surface. The full polarimetric PALSAR is particularly important in relation to target identification and recognition, since it contains additional real physical target information. Therefore, combination of optical and polarimetric data has the potential to improve the land cover classification accuracy. As a consequence, the development of techniques for efficiently and conveniently handling combined multi-source data for land cover classification is becoming increasingly important. The objective of this paper is to assess the potential synergies and complementary nature of optical, full polarimetry PALSAR intensity data, and polarimetric features (indicators) for land cover classification and evaluate the recent developed subspace method for the combined optical and SAR data classification.

Original languageEnglish
Title of host publication2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2011
Pages260-261
Number of pages2
Publication statusPublished - 2011
Externally publishedYes
Event2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2011 - Seoul, Korea, Republic of
Duration: 2011 Sep 262011 Sep 30

Publication series

Name2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2011

Conference

Conference2011 3rd International Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2011
Country/TerritoryKorea, Republic of
CitySeoul
Period11/9/2611/9/30

Keywords

  • Coherency matrix
  • PALSAR
  • Polarimetry
  • subspace method
  • supervised classification

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

Fingerprint

Dive into the research topics of 'Combining ALOS AVNIR-2 and PALSAR for land cover classification'. Together they form a unique fingerprint.

Cite this