Paper Title:
Integration of Landsat ETM+ and Radarsat SAR Data for Land Cover Classification
  Abstract

This study aims to analyze the synergic effect of integrating two distinctive satellite remote sensor data (optical and microwave imagery) for land cover classification. The study area covers diverse land cover types in the Western coastal region of the Korean peninsula. Eleven land cover types were classified using several datasets of combined Landsat ETM+ and Radarsat synthetic aperture radar (SAR) data as well as only a single dataset of either ETM+ or SAR data alone. Furthermore, we introduced a texture image that was derived from the SAR data. The synergic effect of these combined datasets was evident by both image interpretation and computerassisted classification. The overall classification accuracy of the combined datasets was improved to 74.60% as compared to the 69.35% accuracy of using ETM+ data alone.

  Info
Periodical
Key Engineering Materials (Volumes 277-279)
Edited by
Kwang Hwa Chung, Yong Hyeon Shin, Sue-Nie Park, Hyun Sook Cho, Soon-Ae Yoo, Byung Joo Min, Hyo-Suk Lim and Kyung Hwa Yoo
Pages
838-844
DOI
10.4028/www.scientific.net/KEM.277-279.838
Citation
S. H. Kim, K. S. Lee, "Integration of Landsat ETM+ and Radarsat SAR Data for Land Cover Classification", Key Engineering Materials, Vols. 277-279, pp. 838-844, 2005
Online since
January 2005
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Price
$32.00
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