A Site Model Based Change Detection Method for SAR Images

Wei Wang, Jianhua Shi, Lingjun Zhao, Xingwei Yan

CVPRW 2019 pp. 738-742

doi:10.1109/CVPRW.2019.00101 /cvprw/2019/wang2019cvprw-site/

Abstract

In this paper, a new method of site model based change detection is presented for multitemporal synthetic aperture radar (SAR) images. It first constructs a site model offline making use of a high resolution image of the fixed site, and then accurate registration is carried out between the model and the images. With the location information contained in the site model, the region of interest (ROI) can be extracted easily and robustly. Finally, the significant changes are obtained by comparing the invariant features extracted separately from the shapes of targets in ROI of two images. The experiment of change detection for two SAR images of airport demonstrated the validity of the proposed method.

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Cite

Text

Wang et al. "A Site Model Based Change Detection Method for SAR Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019. doi:10.1109/CVPRW.2019.00101

Markdown

[Wang et al. "A Site Model Based Change Detection Method for SAR Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2019.](https://mlanthology.org/cvprw/2019/wang2019cvprw-site/) doi:10.1109/CVPRW.2019.00101

BibTeX

@inproceedings{wang2019cvprw-site,
  title     = {{A Site Model Based Change Detection Method for SAR Images}},
  author    = {Wang, Wei and Shi, Jianhua and Zhao, Lingjun and Yan, Xingwei},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2019},
  pages     = {738-742},
  doi       = {10.1109/CVPRW.2019.00101},
  url       = {https://mlanthology.org/cvprw/2019/wang2019cvprw-site/}
}