Fusion of ALOS PALSAR and ASTER data for landcover classification at Tonle Sap floodplain

Nguyen Van Trung, Jung Hyun Choi, Joong Sun Won

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

1 Citation (Scopus)

Abstract

The landcover of the northern floodplain around the Tonle Sap Lake involves the various vegetations, lacustrine lands, as well as settlements. In order to understand the contribution of landcover in this area for agricultural, piscicultural activity, and environmental protection, landcover classes should be classified by using remote sensing data. The aim of this study is to increase distinction between landcover classes for classification purpose. To improve the feature texture for pre-classification data, the ALOS PALSAR is fused with ASTER data. Both data are acquired in dry season in which the vegetation is little influenced by flooding. The fused data is created by injecting the feature texture of ALOS PALSAR into ASTER data. However, spectral character is distorted due to mixed spectrum. This is reduced by choosing optimal fused algorithm. The ten landcover classes are selected as signatures to classify and calculate confusion matrixes. Those confusion matrixes reveal that the distinction between the landcover classes in fused data is better than that in ASTER data.

Original languageEnglish
Title of host publicationRemote Sensing of the Coastal Ocean, Land, and Atmosphere Environment
DOIs
Publication statusPublished - 2010 Dec 1
EventRemote Sensing of the Coastal Ocean, Land, and Atmosphere Environment - Incheon, Korea, Republic of
Duration: 2010 Oct 132010 Oct 14

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7858
ISSN (Print)0277-786X

Other

OtherRemote Sensing of the Coastal Ocean, Land, and Atmosphere Environment
CountryKorea, Republic of
CityIncheon
Period10/10/1310/10/14

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Fusion of ALOS PALSAR and ASTER data for landcover classification at Tonle Sap floodplain'. Together they form a unique fingerprint.

  • Cite this

    Van Trung, N., Choi, J. H., & Won, J. S. (2010). Fusion of ALOS PALSAR and ASTER data for landcover classification at Tonle Sap floodplain. In Remote Sensing of the Coastal Ocean, Land, and Atmosphere Environment [785815] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7858). https://doi.org/10.1117/12.869413