روشي جديد در قطعه بندي خودكار تصاوير ماهواره اي با دقت بالا براي استخراج خطوط ساحلي

A NOVEL SEGMENTATION APPROACH FOR COASTLINE EXTRACTION FROM HIGH RESOLUTION SATTELITE IMAGES

The objective of this paper is to introduce a new method for coastlines delineation from high-resolution satellite images automatically. The proposed approach integrates the color histogram analysis for estimating the number of clusters, fuzzy c-partition, and genetic algorithms for optimizing fuzzy c-partition matrix. The imagery is classified into homogenous areas using the proposed fuzzy logic segmentation approach. Morphological filtering is then used to remove noises from the segmented image. alesheikh@kntu.ac.ir 4JUL0 OJL^^j * A Ll^JL j j LQJ /) ) Oj Ly-Jj (Jbtj The coastlines are finally extracted from the filtered image by a delineation algorithm. The developed approach is evaluated based on a 1 m resolution IKONOS pansharpened imagery of Konarak region in Chabahar, Iran. It is demonstrated that 95% of the extracted lines remain within the three-pixels buffer areas around the coastlines. This presents the effectiveness of the proposed algorithm. t^gJL^-Lwj Keywords: Satellite images, Feature extraction, Colour histogram, Fuzzy segmentation, Genetic algorithm