Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W2, 211-217, 2015
https://doi.org/10.5194/isprsarchives-XL-3-W2-211-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
10 Mar 2015
A NOVEL APPROACH FOR EDGE DETECTION OF LOW CONTRAST SATELLITE IMAGES
K. K. Singh1, M. K. Bajpai1, and R. K. Pandey2 1Computer Science & Engineering, Indian Institute of Information Technology, Design &Manufacturing Jabalpur, M.P., 482005, India
2Department of Mathematical Sciences, Indian Institute of Technology (BHU) Varanasi, U.P., 221005, India
Keywords: Sobel Edge Detector, Fractional Order Differentiator, Chebyshev Polynomial based Approximation, Satellite Images 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.
Conference paper (PDF, 815 KB)


Citation: Singh, K. K., Bajpai, M. K., and Pandey, R. K.: A NOVEL APPROACH FOR EDGE DETECTION OF LOW CONTRAST SATELLITE IMAGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W2, 211-217, https://doi.org/10.5194/isprsarchives-XL-3-W2-211-2015, 2015.

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