Radiance transformation of multitemporal LANDSAT image for land cover classification

Fumihiro Tanizaki*, Michiharu Niimi, Sei ichiro Kamata, Eiji Kawaguchi

*この研究の対応する著者

研究成果: Conference contribution

抄録

Recently classification of remote sensing images using neural network approach is studied. However multitemporal LANDSAT image data is not used for classification. A problem in classification of remote sensing images is that we cannot get images in fixed wide area such as states of prefectures at one time because the range of sensors of artificial satellite is limited. For example, full area of Fukuoka prefecture is observed two separate images. For multitemporal images, several factors affect the spectrum at different observation dates. In this paper, we concentrate on the sunbeam factor from which we can estimate the intensity. Using the sun elevation angle from the data, we can estimate sunbeam intensity. We transform multitemporal images using radiance transformation which is based on path radiance model. We confirmed that radiance transformation is effective to the classification of multitemporal images from several experiments.

本文言語English
ホスト出版物のタイトルProceedings of SPIE - The International Society for Optical Engineering
出版社Society of Photo-Optical Instrumentation Engineers
ページ1668-1675
ページ数8
3/-
ISBN(印刷版)0819418587
出版ステータスPublished - 1995 1 1
外部発表はい
イベントVisual Communications and Image Processing '95 - Taipei, Taiwan
継続期間: 1995 5 241995 5 26

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
番号3/-
2501
ISSN(印刷版)0277-786X

Other

OtherVisual Communications and Image Processing '95
CityTaipei, Taiwan
Period95/5/2495/5/26

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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