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Filtering Approach Based on Voter Model and Spatial-Contextual Information to the Binary Change Map in SAR Images

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Abstract

If a binary change map (BCM) is generated without considering spatial-contextual information, it can produce a number of false and missed alarms because of the significant speckle noise in synthetic aperture radar (SAR) images. Therefore, this paper first proposes the local continuity assumption of the changed and unchanged areas. Then, a new filtering approach to BCM of SAR images is proposed based on the voter model and spatial-contextual information. Experimental results indicate that the proposed approach can effectively decrease the detection noise, improve the detection accuracy of BCM and perform better than a median filter, mathematical morphological filters and a filter based on a Markov random field.

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Notes

  1. Although the result acquired by using morphology opening filter has the minimum false alarm rate, it also has the maximum missed alarm rate. For any filter method to BCM, it is hard to have the lowest false and missed alarm rates simultaneously. The proposed approach can get a well balance between the lower false and missed alarm rates.

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Acknowledgements

This work is funded by the Natural Science Foundation of China (No. 41272389 and No. 41604005), Project supported by the Ordinary University Graduate Student Research Innovation Project of Jiangsu Province (No. KYLX16_0540), relevant radar data are provided by the German Aerospace Center TerraSAR-X Science Plan (LAN1425 and LAN1173).

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Authors and Affiliations

  1. Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou, 221116, China

    Huifu Zhuang, Kazhong Deng & Hongdong Fan

  2. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, China

    Kazhong Deng & Hongdong Fan

Authors
  1. Huifu Zhuang
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  2. Kazhong Deng
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  3. Hongdong Fan
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Correspondence to Kazhong Deng.

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Zhuang, H., Deng, K. & Fan, H. Filtering Approach Based on Voter Model and Spatial-Contextual Information to the Binary Change Map in SAR Images. J Indian Soc Remote Sens 45, 733–741 (2017). https://doi.org/10.1007/s12524-016-0639-5

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  • DOI: https://doi.org/10.1007/s12524-016-0639-5

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