D Chutia and DK Bhattacharyya (2010) AN EFFICIENT APPROACH FOR EXTRACTION OF LINEAR FEATURES FROM HIGH RESOLUTION INDIAN SATELLITE IMAGERIES

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AN EFFICIENT APPROACH FOR EXTRACTION OF LINEAR FEATURES FROM HIGH RESOLUTION INDIAN SATELLITE IMAGERIES

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CONTRIBUTORS:

	Author:	D Chutia
	Author:	DK Bhattacharyya

JOURNAL:

International Journal on Computer Science and Engineering (IJCSE), 2(4), 1223 - 1227.

YEAR:

2010

PUB TYPE:

Journal Article

SUBJECT(S):

Object oriented; Multireslution segmentation; Image objects; Homogeneity criterion; Fuzzy membership functions.

DISCIPLINE:

Computer Science

HTTP:

http://www.enggjournals.com/ijcse/doc/IJCSE10-02-04-124.pdf

LANGUAGE:

English

PUB ID:

103-488-553 (Last edited on 2011/06/11 00:27:37 GMT-6)

SPONSOR(S):

ABSTRACT:
This paper presents an Object oriented feature extraction approach in order to classify the linear features like drainage, roads etc. from high resolution Indian satellite imageries. It starts with the multiresolution segmentations of image objects for optimal separation and representation of image regions or objects. Fuzzy membership functions were defined for a selected set of image object parameters such as mean, ratio, shape index, area etc. for representation of required image objects. Experiment was carried out for both panchromatic (CARTOSAT-I) and multispectral (IRSP6 LISS IV) Indian satellite imageries. Experimental results show that the extraction of linear features can be achieved in a satisfactory level through proper segmentation and appropriate definition & representation of key parameters of image objects.

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