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Paper Information

Journal:   IRANIAN JOURNAL OF EARTH SCIENCES (IJES)   APRIL 2010 , Volume 2 , Number 1; Page(s) 55 To 62.
 
Paper: 

OBJECT-ORIENTED METHOD FOR AUTOMATIC EXTRACTION OF ROAD FROM HIGH RESOLUTION SATELLITE IMAGES

 
 
Author(s):  ALI RIZVI I.*, KRISHNA MOHAN B.
 
* SATELLITE IMAGE PROCESSING RESEARCH LABORATORY, CENTRE OF STUDIES IN RESOURCE ENGINEERING
 
Abstract: 
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towards content analysis and image understanding i.e. image segmentation and classification. This paper proposes a robust object based segmentation algorithm using multi-resolution analysis technique and object based supervised image classification using modified cloud basis functions (CBFs) neural network algorithm to identify road features from high resolution satellite remotely sensed images.
 
Keyword(s): OBJECT-ORIENTED METHOD, IMAGE SEGMENTATION, SATELLITE IMAGES
 
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