A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching

Abstract In aerial multi-view photogrammetry, whether there is a special positional distribution pattern among candidate homologous pixels of a matching pixel in the multi-view images? If so, can this positional pattern be used to precisely confirm the real homologous pixels? These problems have not...

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Autores principales:	Ka Zhang, Wen Xiao, Yehua Sheng, Junshu Wang, Shan Zhang, Longjie Ye
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6dfe9194598f4ddb8597e615f8c70a61
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spelling	oai:doaj.org-article:6dfe9194598f4ddb8597e615f8c70a612021-12-02T17:16:10ZA discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching10.1038/s41598-021-89501-z2045-2322https://doaj.org/article/6dfe9194598f4ddb8597e615f8c70a612021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89501-zhttps://doaj.org/toc/2045-2322Abstract In aerial multi-view photogrammetry, whether there is a special positional distribution pattern among candidate homologous pixels of a matching pixel in the multi-view images? If so, can this positional pattern be used to precisely confirm the real homologous pixels? These problems have not been studied at present. Therefore, the study of the positional distribution pattern among candidate homologous pixels based on the adjustment theory in surveying is investigated in this paper. Firstly, the definition and computing method of pixel’s pseudo object-space coordinates are given, which can transform the problem of multi-view matching for confirming real homologous pixels into the problem of surveying adjustment for computing the pseudo object-space coordinates of the matching pixel. Secondly, according to the surveying adjustment theory, the standardized residual of each candidate homologous pixel of the matching pixel is figured out, and the positional distribution pattern among these candidate pixels is theoretically inferred utilizing the quantitative index of standardized residual. Lastly, actual aerial images acquired by different sensors are used to carry out experimental verification of the theoretical inference. Experimental results prove not only that there is a specific positional distribution pattern among candidate homologous pixels, but also that this positional distribution pattern can be used to develop a new object-side multi-view image matching method. The proposed study has an important reference value on resolving the defects of existing image-side multi-view matching methods at the mechanism level.Ka ZhangWen XiaoYehua ShengJunshu WangShan ZhangLongjie YeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-21 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ka Zhang Wen Xiao Yehua Sheng Junshu Wang Shan Zhang Longjie Ye A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching
description	Abstract In aerial multi-view photogrammetry, whether there is a special positional distribution pattern among candidate homologous pixels of a matching pixel in the multi-view images? If so, can this positional pattern be used to precisely confirm the real homologous pixels? These problems have not been studied at present. Therefore, the study of the positional distribution pattern among candidate homologous pixels based on the adjustment theory in surveying is investigated in this paper. Firstly, the definition and computing method of pixel’s pseudo object-space coordinates are given, which can transform the problem of multi-view matching for confirming real homologous pixels into the problem of surveying adjustment for computing the pseudo object-space coordinates of the matching pixel. Secondly, according to the surveying adjustment theory, the standardized residual of each candidate homologous pixel of the matching pixel is figured out, and the positional distribution pattern among these candidate pixels is theoretically inferred utilizing the quantitative index of standardized residual. Lastly, actual aerial images acquired by different sensors are used to carry out experimental verification of the theoretical inference. Experimental results prove not only that there is a specific positional distribution pattern among candidate homologous pixels, but also that this positional distribution pattern can be used to develop a new object-side multi-view image matching method. The proposed study has an important reference value on resolving the defects of existing image-side multi-view matching methods at the mechanism level.
format	article
author	Ka Zhang Wen Xiao Yehua Sheng Junshu Wang Shan Zhang Longjie Ye
author_facet	Ka Zhang Wen Xiao Yehua Sheng Junshu Wang Shan Zhang Longjie Ye
author_sort	Ka Zhang
title	A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching
title_short	A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching
title_full	A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching
title_fullStr	A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching
title_full_unstemmed	A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching
title_sort	discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6dfe9194598f4ddb8597e615f8c70a61
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A discovery about the positional distribution pattern among candidate homologous pixels and its potential application in aerial multi-view image matching

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