A novel speckle-robust feature map and research on rotation invariance of feature maps in the SAR image

Jiamu Li; Yi Wang; Wenbo Yu; Zijian Wang; Zhongjun Yu

doi:10.1117/12.2684224

1 August 2023 A novel speckle-robust feature map and research on rotation invariance of feature maps in the SAR image

Jiamu Li, Yi Wang, Wenbo Yu, Zijian Wang, Zhongjun Yu

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127540H (2023) https://doi.org/10.1117/12.2684224
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

The feature map is often used for describing the characteristics of key points in image registration applications. Due to feature information being sensitive to rotation and noise, the values of calculation methods for various feature maps would change in different rotation or noise conditions. Consequently, it is unfavorable to obtain the stable descriptor for the same feature point in different images. Specifically, speckle noise damages the synthetic aperture radar (SAR) image seriously, which makes SAR image registration more difficult. In this paper, a novel feature map, which is robust to speckle noise, is proposed. A fully size-adaptive sliding window method is embedded into the ratio of exponentially weighted average method for its noise robustness improvement. Then, a series of Monte Carlo experiments compare the rotation and speckle stabilities among various feature map methods comprehensively. The experimental results reflect that the proposed feature map method is stable while speckle noise increases, and it has less mean orientation difference than others. Moreover, the data of experimental results can be used to support many other analyses on feature maps.

Citation Download Citation

Jiamu Li, Yi Wang, Wenbo Yu, Zijian Wang, and Zhongjun Yu "A novel speckle-robust feature map and research on rotation invariance of feature maps in the SAR image", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127540H (1 August 2023); https://doi.org/10.1117/12.2684224

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KEYWORDS

Synthetic aperture radar

Windows

Speckle

Image registration

Monte Carlo methods

Image processing

Remote sensing

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