A fast matching method of SAR and optical images using angular weighted orientated gradients

To solve the problem of matching difficulty caused by the significant nonlinear grayscale differences between SAR and optical images, this paper proposes a fast matching algorithm based on image structural properties named SOFM(SAR-to-optical fast matching algorithm).The traditional methods based on...

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Autores principales:	FAN Zhongli, ZHANG Li, WANG Qingdong, LIU Siting, YE Yuanxin
Formato:	article
Lenguaje:	ZH
Publicado:	Surveying and Mapping Press 2021
Materias:	sar images optical images structural properties image gradient template matching Mathematical geography. Cartography GA1-1776
Acceso en línea:	https://doaj.org/article/b2d3965f2ad2447bb4e9c22534fbe69d
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spelling	oai:doaj.org-article:b2d3965f2ad2447bb4e9c22534fbe69d2021-11-12T02:25:59ZA fast matching method of SAR and optical images using angular weighted orientated gradients1001-159510.11947/j.AGCS.2021.20200587https://doaj.org/article/b2d3965f2ad2447bb4e9c22534fbe69d2021-10-01T00:00:00Zhttp://xb.sinomaps.com/article/2021/1001-1595/2021-10-1390.htmhttps://doaj.org/toc/1001-1595To solve the problem of matching difficulty caused by the significant nonlinear grayscale differences between SAR and optical images, this paper proposes a fast matching algorithm based on image structural properties named SOFM(SAR-to-optical fast matching algorithm).The traditional methods based on image grayscale are generally difficult to resist the nonlinear grayscale differences between SAR and optical images, but the geometric constructs and shape features can exist stably among different types of images, so in our the proposed method both the magnitude and orientation information of image gradient are used to build a geometric structural feature descriptor named AWOG(angular weighted orientated gradients), then based on the template matching strategy, the sum of squared difference of the descriptors is used to define the similarity metric for matching and then the image matching function expressed in the frequency domain is given. A complete set of image matching process is established based on SOFM, and has been validated using multiple pairs of SAR and optical images, the results show that the proposed method can effectively resist the nonlinear grayscale differences between SAR and optical images, and outperforms the traditional classical image grayscale-based methods and existing image structural-based methods in matching performance and precision.FAN ZhongliZHANG LiWANG QingdongLIU SitingYE YuanxinSurveying and Mapping Pressarticlesar imagesoptical imagesstructural propertiesimage gradienttemplate matchingMathematical geography. CartographyGA1-1776ZHActa Geodaetica et Cartographica Sinica, Vol 50, Iss 10, Pp 1390-1403 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	sar images optical images structural properties image gradient template matching Mathematical geography. Cartography GA1-1776
spellingShingle	sar images optical images structural properties image gradient template matching Mathematical geography. Cartography GA1-1776 FAN Zhongli ZHANG Li WANG Qingdong LIU Siting YE Yuanxin A fast matching method of SAR and optical images using angular weighted orientated gradients
description	To solve the problem of matching difficulty caused by the significant nonlinear grayscale differences between SAR and optical images, this paper proposes a fast matching algorithm based on image structural properties named SOFM(SAR-to-optical fast matching algorithm).The traditional methods based on image grayscale are generally difficult to resist the nonlinear grayscale differences between SAR and optical images, but the geometric constructs and shape features can exist stably among different types of images, so in our the proposed method both the magnitude and orientation information of image gradient are used to build a geometric structural feature descriptor named AWOG(angular weighted orientated gradients), then based on the template matching strategy, the sum of squared difference of the descriptors is used to define the similarity metric for matching and then the image matching function expressed in the frequency domain is given. A complete set of image matching process is established based on SOFM, and has been validated using multiple pairs of SAR and optical images, the results show that the proposed method can effectively resist the nonlinear grayscale differences between SAR and optical images, and outperforms the traditional classical image grayscale-based methods and existing image structural-based methods in matching performance and precision.
format	article
author	FAN Zhongli ZHANG Li WANG Qingdong LIU Siting YE Yuanxin
author_facet	FAN Zhongli ZHANG Li WANG Qingdong LIU Siting YE Yuanxin
author_sort	FAN Zhongli
title	A fast matching method of SAR and optical images using angular weighted orientated gradients
title_short	A fast matching method of SAR and optical images using angular weighted orientated gradients
title_full	A fast matching method of SAR and optical images using angular weighted orientated gradients
title_fullStr	A fast matching method of SAR and optical images using angular weighted orientated gradients
title_full_unstemmed	A fast matching method of SAR and optical images using angular weighted orientated gradients
title_sort	fast matching method of sar and optical images using angular weighted orientated gradients
publisher	Surveying and Mapping Press
publishDate	2021
url	https://doaj.org/article/b2d3965f2ad2447bb4e9c22534fbe69d
work_keys_str_mv	AT fanzhongli afastmatchingmethodofsarandopticalimagesusingangularweightedorientatedgradients AT zhangli afastmatchingmethodofsarandopticalimagesusingangularweightedorientatedgradients AT wangqingdong afastmatchingmethodofsarandopticalimagesusingangularweightedorientatedgradients AT liusiting afastmatchingmethodofsarandopticalimagesusingangularweightedorientatedgradients AT yeyuanxin afastmatchingmethodofsarandopticalimagesusingangularweightedorientatedgradients AT fanzhongli fastmatchingmethodofsarandopticalimagesusingangularweightedorientatedgradients AT zhangli fastmatchingmethodofsarandopticalimagesusingangularweightedorientatedgradients AT wangqingdong fastmatchingmethodofsarandopticalimagesusingangularweightedorientatedgradients AT liusiting fastmatchingmethodofsarandopticalimagesusingangularweightedorientatedgradients AT yeyuanxin fastmatchingmethodofsarandopticalimagesusingangularweightedorientatedgradients
_version_	1718431310283800576

A fast matching method of SAR and optical images using angular weighted orientated gradients

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