Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images

Time delay and integration (TDI) charge-coupled device (CCD) is an image sensor for capturing images of moving objects at low light levels. This study examines the model construction of stitched TDI CCD original multi-slice images. The traditional approaches, for example, include the image-space-ori...

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Autores principales:	Longhui Wang, Yan Zhang, Tao Wang, Yongsheng Zhang, Zhenchao Zhang, Ying Yu, Lei Li
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	panoramic stitching image block adjustment piecewise affine transformation model RFM TH-1 ZY-3 Science Q
Acceso en línea:	https://doaj.org/article/49b7cb16640c47a6805054d28c130d3c
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id	oai:doaj.org-article:49b7cb16640c47a6805054d28c130d3c
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spelling	oai:doaj.org-article:49b7cb16640c47a6805054d28c130d3c2021-11-25T18:55:13ZStitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images10.3390/rs132246632072-4292https://doaj.org/article/49b7cb16640c47a6805054d28c130d3c2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4663https://doaj.org/toc/2072-4292Time delay and integration (TDI) charge-coupled device (CCD) is an image sensor for capturing images of moving objects at low light levels. This study examines the model construction of stitched TDI CCD original multi-slice images. The traditional approaches, for example, include the image-space-oriented algorithm and the object-space-oriented algorithm. The former indicates concise principles and high efficiency, whereas the panoramic stitching images lack the clear geometric relationships generated from the image-space-oriented algorithm. Similarly, even though the object-space-oriented algorithm generates an image with a clear geometric relationship, it is time-consuming due to the complicated and intensive computational demands. In this study, we developed a multi-slice satellite images stitching and geometric model construction method. The method consists of three major steps. First, the high-precision reference data assist in block adjustment and obtain the original slice image bias-corrected RFM to perform multi-slice image block adjustment. The second process generates the panoramic stitching image by establishing the image coordinate conversion relationship from the panoramic stitching image to the original multi-slice images. The final step is dividing the panoramic stitching image uniformly into image grids and employing the established image coordinate conversion relationship and the original multi-slice image bias-corrected RFM to generate a virtual control grid to construct the panoramic stitching image RFM. To evaluate the performance, we conducted experiments using the Tianhui-1(TH-1) high-resolution image and the Ziyuan-3(ZY-3) triple liner-array image data. The experimental results show that, compared with the object-space-oriented algorithm, the stitching accuracy loss of the generated panoramic stitching image was only 0.2 pixels and that the mean value was 0.799798 pixels, achieving the sub-pixel stitching requirements. Compared with the object-space-oriented algorithm, the RFM positioning difference of the panoramic stitching image was within 0.3 m, which achieves equal positioning accuracy.Longhui WangYan ZhangTao WangYongsheng ZhangZhenchao ZhangYing YuLei LiMDPI AGarticlepanoramic stitching imageblock adjustmentpiecewise affine transformation modelRFMTH-1ZY-3ScienceQENRemote Sensing, Vol 13, Iss 4663, p 4663 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	panoramic stitching image block adjustment piecewise affine transformation model RFM TH-1 ZY-3 Science Q
spellingShingle	panoramic stitching image block adjustment piecewise affine transformation model RFM TH-1 ZY-3 Science Q Longhui Wang Yan Zhang Tao Wang Yongsheng Zhang Zhenchao Zhang Ying Yu Lei Li Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images
description	Time delay and integration (TDI) charge-coupled device (CCD) is an image sensor for capturing images of moving objects at low light levels. This study examines the model construction of stitched TDI CCD original multi-slice images. The traditional approaches, for example, include the image-space-oriented algorithm and the object-space-oriented algorithm. The former indicates concise principles and high efficiency, whereas the panoramic stitching images lack the clear geometric relationships generated from the image-space-oriented algorithm. Similarly, even though the object-space-oriented algorithm generates an image with a clear geometric relationship, it is time-consuming due to the complicated and intensive computational demands. In this study, we developed a multi-slice satellite images stitching and geometric model construction method. The method consists of three major steps. First, the high-precision reference data assist in block adjustment and obtain the original slice image bias-corrected RFM to perform multi-slice image block adjustment. The second process generates the panoramic stitching image by establishing the image coordinate conversion relationship from the panoramic stitching image to the original multi-slice images. The final step is dividing the panoramic stitching image uniformly into image grids and employing the established image coordinate conversion relationship and the original multi-slice image bias-corrected RFM to generate a virtual control grid to construct the panoramic stitching image RFM. To evaluate the performance, we conducted experiments using the Tianhui-1(TH-1) high-resolution image and the Ziyuan-3(ZY-3) triple liner-array image data. The experimental results show that, compared with the object-space-oriented algorithm, the stitching accuracy loss of the generated panoramic stitching image was only 0.2 pixels and that the mean value was 0.799798 pixels, achieving the sub-pixel stitching requirements. Compared with the object-space-oriented algorithm, the RFM positioning difference of the panoramic stitching image was within 0.3 m, which achieves equal positioning accuracy.
format	article
author	Longhui Wang Yan Zhang Tao Wang Yongsheng Zhang Zhenchao Zhang Ying Yu Lei Li
author_facet	Longhui Wang Yan Zhang Tao Wang Yongsheng Zhang Zhenchao Zhang Ying Yu Lei Li
author_sort	Longhui Wang
title	Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images
title_short	Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images
title_full	Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images
title_fullStr	Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images
title_full_unstemmed	Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images
title_sort	stitching and geometric modeling approach based on multi-slice satellite images
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/49b7cb16640c47a6805054d28c130d3c
work_keys_str_mv	AT longhuiwang stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages AT yanzhang stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages AT taowang stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages AT yongshengzhang stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages AT zhenchaozhang stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages AT yingyu stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages AT leili stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages
_version_	1718410521243287552

Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images

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