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      Remote Sensing Image Feature Extracting Based Multiple Ant Colonies Cooperation

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          Abstract

          This paper presents a novel feature extraction method for remote sensing imagery based on the cooperation of multiple ant colonies. First, multiresolution expression of the input remote sensing imagery is created, and two different ant colonies are spread on different resolution images. The ant colony in the low-resolution image uses phase congruency as the inspiration information, whereas that in the high-resolution image uses gradient magnitude. The two ant colonies cooperate to detect features in the image by sharing the same pheromone matrix. Finally, the image features are extracted on the basis of the pheromone matrix threshold. Because a substantial amount of information in the input image is used as inspiration information of the ant colonies, the proposed method shows higher intelligence and acquires more complete and meaningful image features than those of other simple edge detectors.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 February 2014
          : 3
          : 1
          : 92-100
          Affiliations
          [1 ] ATR Key Laboratry, National University of Defense Technology
          Article
          1d79f82ee99e4dd2985a62aa3ee836ec
          10.3724/SP.J.1300.2014.13129

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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