A Matching Algorithm for Underwater Acoustic and Optical Images Based on Image Attribute Transfer and Local Features

In the field of underwater vision, image matching between the main two sensors (sonar and optical camera) has always been a challenging problem. The independent imaging mechanism of the two determines the modalities of the image, and the local features of the images under various modalities are sign...

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Autores principales:	Xiaoteng Zhou, Changli Yu, Xin Yuan, Citong Luo
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	sensor data fusion multimodal image matching attribute transfer image processing Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/2d5b423d70814c9d9c6d9ee6ed87632a
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id	oai:doaj.org-article:2d5b423d70814c9d9c6d9ee6ed87632a
record_format	dspace
spelling	oai:doaj.org-article:2d5b423d70814c9d9c6d9ee6ed87632a2021-11-11T19:04:21ZA Matching Algorithm for Underwater Acoustic and Optical Images Based on Image Attribute Transfer and Local Features10.3390/s212170431424-8220https://doaj.org/article/2d5b423d70814c9d9c6d9ee6ed87632a2021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7043https://doaj.org/toc/1424-8220In the field of underwater vision, image matching between the main two sensors (sonar and optical camera) has always been a challenging problem. The independent imaging mechanism of the two determines the modalities of the image, and the local features of the images under various modalities are significantly different, which makes the general matching method based on the optical image invalid. In order to make full use of underwater acoustic and optical images, and promote the development of multisensor information fusion (MSIF) technology, this letter proposes to apply an image attribute transfer algorithm and advanced local feature descriptor to solve the problem of underwater acousto-optic image matching. We utilize real and simulated underwater images for testing; experimental results show that our proposed method could effectively preprocess these multimodal images to obtain an accurate matching result, thus providing a new solution for the underwater multisensor image matching task.Xiaoteng ZhouChangli YuXin YuanCitong LuoMDPI AGarticlesensor data fusionmultimodal image matchingattribute transferimage processingChemical technologyTP1-1185ENSensors, Vol 21, Iss 7043, p 7043 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sensor data fusion multimodal image matching attribute transfer image processing Chemical technology TP1-1185
spellingShingle	sensor data fusion multimodal image matching attribute transfer image processing Chemical technology TP1-1185 Xiaoteng Zhou Changli Yu Xin Yuan Citong Luo A Matching Algorithm for Underwater Acoustic and Optical Images Based on Image Attribute Transfer and Local Features
description	In the field of underwater vision, image matching between the main two sensors (sonar and optical camera) has always been a challenging problem. The independent imaging mechanism of the two determines the modalities of the image, and the local features of the images under various modalities are significantly different, which makes the general matching method based on the optical image invalid. In order to make full use of underwater acoustic and optical images, and promote the development of multisensor information fusion (MSIF) technology, this letter proposes to apply an image attribute transfer algorithm and advanced local feature descriptor to solve the problem of underwater acousto-optic image matching. We utilize real and simulated underwater images for testing; experimental results show that our proposed method could effectively preprocess these multimodal images to obtain an accurate matching result, thus providing a new solution for the underwater multisensor image matching task.
format	article
author	Xiaoteng Zhou Changli Yu Xin Yuan Citong Luo
author_facet	Xiaoteng Zhou Changli Yu Xin Yuan Citong Luo
author_sort	Xiaoteng Zhou
title	A Matching Algorithm for Underwater Acoustic and Optical Images Based on Image Attribute Transfer and Local Features
title_short	A Matching Algorithm for Underwater Acoustic and Optical Images Based on Image Attribute Transfer and Local Features
title_full	A Matching Algorithm for Underwater Acoustic and Optical Images Based on Image Attribute Transfer and Local Features
title_fullStr	A Matching Algorithm for Underwater Acoustic and Optical Images Based on Image Attribute Transfer and Local Features
title_full_unstemmed	A Matching Algorithm for Underwater Acoustic and Optical Images Based on Image Attribute Transfer and Local Features
title_sort	matching algorithm for underwater acoustic and optical images based on image attribute transfer and local features
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2d5b423d70814c9d9c6d9ee6ed87632a
work_keys_str_mv	AT xiaotengzhou amatchingalgorithmforunderwateracousticandopticalimagesbasedonimageattributetransferandlocalfeatures AT changliyu amatchingalgorithmforunderwateracousticandopticalimagesbasedonimageattributetransferandlocalfeatures AT xinyuan amatchingalgorithmforunderwateracousticandopticalimagesbasedonimageattributetransferandlocalfeatures AT citongluo amatchingalgorithmforunderwateracousticandopticalimagesbasedonimageattributetransferandlocalfeatures AT xiaotengzhou matchingalgorithmforunderwateracousticandopticalimagesbasedonimageattributetransferandlocalfeatures AT changliyu matchingalgorithmforunderwateracousticandopticalimagesbasedonimageattributetransferandlocalfeatures AT xinyuan matchingalgorithmforunderwateracousticandopticalimagesbasedonimageattributetransferandlocalfeatures AT citongluo matchingalgorithmforunderwateracousticandopticalimagesbasedonimageattributetransferandlocalfeatures
_version_	1718431633246257152

A Matching Algorithm for Underwater Acoustic and Optical Images Based on Image Attribute Transfer and Local Features

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