Acta Geodaetica et Cartographica Sinica >

2017 , Vol. 46 >Issue 12: 1959 - 1968

DOI: https://doi.org/10.11947/j.AGCS.2017.20170176

A Residential Area Extraction Method for High Resolution Remote Sensing Imagery by Using Visual Saliency and Perceptual Organization

  • CHEN Yixiang ,
  • QIN Kun ,
  • ZHANG Ye ,
  • YUAN Yuan
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  • 1. School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
    2. Anhui Key Laboratory of Smart City and Geographical Condition Monitoring, Hefei 230031, China;
    3. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Received date: 2017-04-17

  Revised date: 2017-10-26

  Online published: 2017-12-28

Supported by

The National Natural Science Foundation of China (No. 41501378) The Natural Science Foundation of Jiangsu Province of China (No. BK20150835) The Open Fund of Anhui Key Laboratory of Smart City and Geographical Condition Monitoring (No. 2016-K-03Z) The sScientific Research Foundation of Nanjing University of Posts and Telecommunications(No. NY214196)

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Abstract

Inspired by human visual cognitive mechanism,a method of residential area extraction from high-resolution remote sensing images was proposed based on visual saliency and perceptual organization. Firstly,the data field theory of cognitive physics was introduced to model the visual saliency and the candidate residential areas were produced by adaptive thresholding. Then,the exact residential areas were obtained and refined by perceptual organization based on the high-frequency features of multi-scale wavelet transform. Finally,the validity of the proposed method was verified by experiments conducted on ZY-3 and Quickbird image data sets.

Key words： high-resolution remote sensing image; visual saliency; data field; perceptual organization; wavelet transform; residential area extraction

Cite this article

CHEN Yixiang , QIN Kun , ZHANG Ye , YUAN Yuan . A Residential Area Extraction Method for High Resolution Remote Sensing Imagery by Using Visual Saliency and Perceptual Organization[J]. Acta Geodaetica et Cartographica Sinica, 2017 , 46(12) : 1959 -1968 . DOI: 10.11947/j.AGCS.2017.20170176

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