Image and Signal Processing Methods

Development of the iterative edge detection method applied on blurred satellite images: state of the art

[+] Author Affiliations
Majid Rahimzadegan

K. N. Toosi University of Technology, Department of Water Resources, Faculty of Civil Engineering, Valiasr Street, Mirdamad Cross, Tehran 1996715433, Iran

Behnam Sadeghi

James Cook University, College of Science and Engineering, Economic Geology Research Centre (EGRU), Townsville, Queensland 4811, Australia

J. Appl. Remote Sens. 10(3), 035018 (Aug 26, 2016). doi:10.1117/1.JRS.10.035018
History: Received May 17, 2016; Accepted August 10, 2016
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Abstract.  This paper aims to implement an iterative fuzzy edge detection (IFED) method on blurred satellite images. Some degradation effects such as atmospheric effects, clouds and their shadows, atmospheric aerosols, and fog remarkably decline the quality satellite images. Hence, some processes such as enhancement and edge detection in satellite images are challenging. One group of methods that can deal with these effects is fuzzy logic methods. Therefore, IFED method was applied in this work on the subimages of the Ikonos, Landsat 7, and SPOT 5 satellite images, contaminated by aforementioned effects. Such as most FED methods, IFED has two components: enhancement and edge detection. In this context, a six-step iterative method, using the if-then-else mechanism, was implemented on the images to perform fuzzy enhancement, and subsequently, edge detection was done. To evaluate the merit of the enhancement and select the best number of iterations, edge gray-value rate criterion was applied. The peak signal-to-noise ratio (PSNR) is applied for the quantitative evaluation of the IFED method. The results of IFED, in comparison with some prior edge detection methods, showed higher PSNR values and a high performance in the edge detection of the earth features in the blurred satellite images.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Majid Rahimzadegan and Behnam Sadeghi
"Development of the iterative edge detection method applied on blurred satellite images: state of the art", J. Appl. Remote Sens. 10(3), 035018 (Aug 26, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.035018


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