Classification of Tree Types by Polarimetric Pi-SAR

Motoyuki Sato, Takafumi Koike

研究成果: Paper査読

6 被引用数 (Scopus)

抄録

In order to classify tree types, we introduce a new technique, which detects the change of Polarimetric Entropy parameters. We define the difference of the two-dimensional polarimetric entropy parameters, and applied the proposed technique to Pi-SAR airborne polarimetric SAR data. The result in an urban area shows that the seasonal change is very random and we could not find significant changes between two scenes. Then, we applied the technique to a forested region. The change in coniferous trees and broad leafed trees is statistically different. Using the change in polarimetric entropy properties, we find this technique can be used for tree type classification.

本文言語English
ページ431-433
ページ数3
出版ステータスPublished - 2003 11 24
イベント2003 IEEE IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France
継続期間: 2003 7 212003 7 25

Other

Other2003 IEEE IGARSS: Learning From Earth's Shapes and Colours
CountryFrance
CityToulouse
Period03/7/2103/7/25

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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