Method of automatic coregistration of digital remote sensing images from different sources
In this paper, a method for the automatic alignment of diverse digital Earth remote sensing images using survey data is proposed. The method is designed to align color, grayscale, multispectral, and radar images, as well as their combinations, with potential differences in spatial resolution of up t...
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| Format: | Article |
| Language: | English |
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Samara National Research University
2024-12-01
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| Series: | Компьютерная оптика |
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| Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO48-6/480615e.html |
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| author | A.N. Borisov V.V. Myasnikov V.V. Sergeev |
| author_facet | A.N. Borisov V.V. Myasnikov V.V. Sergeev |
| author_sort | A.N. Borisov |
| collection | DOAJ |
| description | In this paper, a method for the automatic alignment of diverse digital Earth remote sensing images using survey data is proposed. The method is designed to align color, grayscale, multispectral, and radar images, as well as their combinations, with potential differences in spatial resolution of up to four times (optionally – sixteen times). The main stages of the proposed method include: an optional upscaling (up to four times); an optional number of image channels reduction to three or one; keypoint detection, their description and alignment. To achieve a universal and robust solution in the latter stages, the best-known algorithms were compared: SIFT, SAR-SIFT, RIFT, and the trainable RoMa. Experimental studies using the indicated types of space images demonstrate a clear advantage of the trainable neural network model RoMa trained on a variety of heterogeneous images. For additional improvement of the alignment accuracy, we utilized a priori data about the images in the form of their georeferencing information. |
| format | Article |
| id | doaj-art-3a6b5018e40c40da9378f4cdf0850d90 |
| institution | OA Journals |
| issn | 0134-2452 2412-6179 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj-art-3a6b5018e40c40da9378f4cdf0850d902025-08-20T02:13:52ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792024-12-0148693294310.18287/2412-6179-CO-1604Method of automatic coregistration of digital remote sensing images from different sourcesA.N. Borisov0V.V. Myasnikov1V.V. Sergeev2Samara National Research UniversitySamara National Research UniversitySamara National Research UniversityIn this paper, a method for the automatic alignment of diverse digital Earth remote sensing images using survey data is proposed. The method is designed to align color, grayscale, multispectral, and radar images, as well as their combinations, with potential differences in spatial resolution of up to four times (optionally – sixteen times). The main stages of the proposed method include: an optional upscaling (up to four times); an optional number of image channels reduction to three or one; keypoint detection, their description and alignment. To achieve a universal and robust solution in the latter stages, the best-known algorithms were compared: SIFT, SAR-SIFT, RIFT, and the trainable RoMa. Experimental studies using the indicated types of space images demonstrate a clear advantage of the trainable neural network model RoMa trained on a variety of heterogeneous images. For additional improvement of the alignment accuracy, we utilized a priori data about the images in the form of their georeferencing information.https://www.computeroptics.ru/eng/KO/Annot/KO48-6/480615e.htmldigital remote sensing imagesautomatic image coregistrationmultispectral imagesradar images |
| spellingShingle | A.N. Borisov V.V. Myasnikov V.V. Sergeev Method of automatic coregistration of digital remote sensing images from different sources Компьютерная оптика digital remote sensing images automatic image coregistration multispectral images radar images |
| title | Method of automatic coregistration of digital remote sensing images from different sources |
| title_full | Method of automatic coregistration of digital remote sensing images from different sources |
| title_fullStr | Method of automatic coregistration of digital remote sensing images from different sources |
| title_full_unstemmed | Method of automatic coregistration of digital remote sensing images from different sources |
| title_short | Method of automatic coregistration of digital remote sensing images from different sources |
| title_sort | method of automatic coregistration of digital remote sensing images from different sources |
| topic | digital remote sensing images automatic image coregistration multispectral images radar images |
| url | https://www.computeroptics.ru/eng/KO/Annot/KO48-6/480615e.html |
| work_keys_str_mv | AT anborisov methodofautomaticcoregistrationofdigitalremotesensingimagesfromdifferentsources AT vvmyasnikov methodofautomaticcoregistrationofdigitalremotesensingimagesfromdifferentsources AT vvsergeev methodofautomaticcoregistrationofdigitalremotesensingimagesfromdifferentsources |