A NOVEL APPROACH FOR EDGE DETECTION OF LOW CONTRAST SATELLITE IMAGES

dc.contributor.author	Singh, K. K.
dc.contributor.author	Bajpai, M. K.
dc.contributor.author	Pandey, R. K.
dc.date.accessioned	2020-03-06T10:29:27Z
dc.date.available	2020-03-06T10:29:27Z
dc.date.issued	2015-03-27
dc.identifier.issn	16821750
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/719
dc.description.abstract	Discrimination between texture edges and geometrical edges is very difficult in low contrast images. Satellite images are low contrast images. It is important to extract the edges that are not clearly visible in case of Satellite images. The present work encompasses a new edge detection algorithm using newly constructed differentiator. Chebyshev polynomial based fractional order differentiator has been used for filtering operation on an image. High pass and Low pass filters are designed with the concept of Quadrature Mirror Filter (QMF). Pre-processing has been performed by using this filter. Sobel edge detection method has been applied on this pre-processed image. The algorithm has been tested with two different satellite images.	en_US
dc.language.iso	en_US	en_US
dc.publisher	International Society for Photogrammetry and Remote Sensing	en_US
dc.subject	Chebyshev polynomial based approximation	en_US
dc.subject	Fractional order differentiator	en_US
dc.subject	Satellite images	en_US
dc.subject	Sobel edge detector	en_US
dc.title	A NOVEL APPROACH FOR EDGE DETECTION OF LOW CONTRAST SATELLITE IMAGES	en_US
dc.type	Article	en_US