CFOG-like image registration algorithm based on 3D-structural feature descriptor for suburban optical and SAR

doi:10.1016/j.ijleo.2022.170158

CIOMP OpenIR

	CFOG-like image registration algorithm based on 3D-structural feature descriptor for suburban optical and SAR
	L. Wang, H. Liang, Z. Wang, R. Xu and G. Shi
	2023
发表期刊	Optik
ISSN	00304026
卷号	272
摘要	Owing to nonlinear radiation differences between optical and synthetic aperture radar (SAR) images, and the inevitable SAR speckle noise, the registration of optical and SAR images is challenging work. This paper proposes a novel pixel-wise 3D-structural feature descriptor based on channel-features-of-oriented-gradients (CFOG), thus, it inherits the fast and robust advantages of CFOG. First, the Block-Harris and grid points feature extraction method is used to obtain sufficient uniformly distributed keypoints from the reference images. Then, the new feature descriptor based on the combination of first-order oriented gradients and second-order gradients (FOSG) is proposed. Specifically, two different operators, the Sobel and the ratio of exponentially weighted averages are utilized to calculate the gradient for the optical and SAR images, respectively. On this basis, the first-order oriented gradients and second-order gradients are calculated by a 3D-Gaussian filter and then normalized along the Z-direction to form the FOSG by superposition. Finally, template matching based on the sum of squared differences similarity metric is implemented in the frequency domain. Our method is experimentally compared with five state-of-the-art methods using six pairs of suburban optical and SAR images. The results show that the proposed algorithm is robust to nonlinear radiation differences and SAR speckle noise, and achieves high accuracy. © 2022 Elsevier GmbH
DOI	10.1016/j.ijleo.2022.170158
URL	查看原文
收录类别	ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67950
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	L. Wang, H. Liang, Z. Wang, R. Xu and G. Shi. CFOG-like image registration algorithm based on 3D-structural feature descriptor for suburban optical and SAR[J]. Optik,2023,272.
APA	L. Wang, H. Liang, Z. Wang, R. Xu and G. Shi.(2023).CFOG-like image registration algorithm based on 3D-structural feature descriptor for suburban optical and SAR.Optik,272.
MLA	L. Wang, H. Liang, Z. Wang, R. Xu and G. Shi."CFOG-like image registration algorithm based on 3D-structural feature descriptor for suburban optical and SAR".Optik 272(2023).

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
CFOG-like image regi（4889KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载