A hybrid classification method using spectral, spatial, and textural features for remotely sensed images based on morphological filtering

A hybrid classification method using spectral, spatial, and textural features for remotely sensed images based on morphological filtering

著者名:

H. Okumura ( Saga Univ., Japan )
M. Yamaura ( Saga Univ., Japan )
K. Arai ( Saga Univ., Japan )

掲載資料名:

Image and signal processing for remote sensing XIII

シリーズ名:

Proceedings of SPIE - the International Society for Optical Engineering

シリーズ巻号:

6748

発行年:

2007

開始ページ:

67481C-1

終了ページ:

67481C-9

総ページ数:

9

出版情報:

Bellingham, Wash.: Society of Photo-optical Instrumentation Engineers

ISSN:

0277786X

ISBN:

9780819469069 [0819469068]

言語:

英語

請求記号:

P63600/6748

資料種別:

国際会議録

詳細

TDL書誌ID:	ZA00052384
シリーズID:	PA00000029
会議名:	SPIE Remoto Sensing : Image and Signal Processing for Remote Sensing
回次:	2007 : 13th
会議開催地:	Florence, Italy
会議開催年:	2007.09.18-2007.09.20
論文注記:	Image and signal processing for remote sensing XIII, 18-20 September 2007, Florence, Italy - Poster Session (6748-51)

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