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

Author(s):

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

Publication title:

Image and signal processing for remote sensing XIII

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

6748

Pub. Year:

2007

Page(from):

67481C-1

Page(to):

67481C-9

Pages:

9

Pub. info.:

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

ISSN:

0277786X

ISBN:

9780819469069 [0819469068]

Language:

English

Call no.:

P63600/6748

Type:

Conference Proceedings

Details

TDL ID:	ZA00052384
Series ID:	PA00000029
Conf. info. (Name):	SPIE Remoto Sensing : Image and Signal Processing for Remote Sensing
Conf. info. (Number):	2007 : 13th
Conf. info. (Venue):	Florence, Italy
Conf. info. (Date):	2007.09.18-2007.09.20
Note for article:	Image and signal processing for remote sensing XIII, 18-20 September 2007, Florence, Italy - Poster Session (6748-51)

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