Volume 3 Issue 1
Mar.  2014
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Zhang Zhi-long, Yang Wei-ping, Li Ji-cheng. Remote Sensing Image Feature Extracting Based Multiple Ant Colonies Cooperation[J]. Journal of Radars, 2014, 3(1): 92-100. doi: 10.3724/SP.J.1300.2014.13129
Citation: Zhang Zhi-long, Yang Wei-ping, Li Ji-cheng. Remote Sensing Image Feature Extracting Based Multiple Ant Colonies Cooperation[J]. Journal of Radars, 2014, 3(1): 92-100. doi: 10.3724/SP.J.1300.2014.13129

Remote Sensing Image Feature Extracting Based Multiple Ant Colonies Cooperation

doi: 10.3724/SP.J.1300.2014.13129
  • Received Date: 2013-12-17
  • Rev Recd Date: 2014-03-17
  • Publish Date: 2014-02-28
  • 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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      沈阳化工大学材料科学与工程学院 沈阳 110142

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