Block Adjustment of Large-scale Domestic Optical Satellite Remote Sensing Imagery without GCP in Antarctic
Abstract Aiming to the difficult area of surveying and mapping, such as Antarctic, it is difficult to guarantee favourable observation condition for traditional mapping methods. Large-scale block adjustment (BA) without ground control point (GCP) is carried out by using domestic high-resolution sate...
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Online Access: | http://dx.doi.org/10.1088/1755-1315/428/1/012082 https://iopscience.iop.org/article/10.1088/1755-1315/428/1/012082/pdf https://iopscience.iop.org/article/10.1088/1755-1315/428/1/012082 |
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crioppubl:10.1088/1755-1315/428/1/012082 2024-06-02T07:56:45+00:00 Block Adjustment of Large-scale Domestic Optical Satellite Remote Sensing Imagery without GCP in Antarctic Wang, Yi He, Mingyuan Xiang, Jie Ge, Jingjing 2020 http://dx.doi.org/10.1088/1755-1315/428/1/012082 https://iopscience.iop.org/article/10.1088/1755-1315/428/1/012082/pdf https://iopscience.iop.org/article/10.1088/1755-1315/428/1/012082 unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 428, issue 1, page 012082 ISSN 1755-1307 1755-1315 journal-article 2020 crioppubl https://doi.org/10.1088/1755-1315/428/1/012082 2024-05-07T14:03:07Z Abstract Aiming to the difficult area of surveying and mapping, such as Antarctic, it is difficult to guarantee favourable observation condition for traditional mapping methods. Large-scale block adjustment (BA) without ground control point (GCP) is carried out by using domestic high-resolution satellite remote sensing imagery. The key technologies of BA model construction based on virtual control point (VCP), gross error detection and elimination, and robust and fast method of large-scale BA are studied in this paper. On this basis, the experimental analysis and validation of 13pairs (39 images) of ZY-3 satellite imagery in Antarctic are carried out. The results show that the sparse matrix technology can effectively reduce the memory requirement. The combined matrix block and GPU parallel technology can solve the problem of large-scale BA computational efficiency. In addition, after BA, the maximum residual is 3.920 pixel, the root mean square error (RMSE) is 0.169 pixel in the X (flight) direction, the maximum residual error is 5.933 pixel, and the RMSE is 0.191 pixel in the Y (scan) direction. The proposed method has certain accuracy and stability in large-scale BA without GCP using high-resolution satellite remote sensing imagery in Antarctica. The relative positioning accuracy can reach sub-pixel level, which can meet the requirements of cartographic splicing. Article in Journal/Newspaper Antarc* Antarctic Antarctica IOP Publishing Antarctic The ''Y'' ENVELOPE(-112.453,-112.453,57.591,57.591) IOP Conference Series: Earth and Environmental Science 428 012082 |
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Abstract Aiming to the difficult area of surveying and mapping, such as Antarctic, it is difficult to guarantee favourable observation condition for traditional mapping methods. Large-scale block adjustment (BA) without ground control point (GCP) is carried out by using domestic high-resolution satellite remote sensing imagery. The key technologies of BA model construction based on virtual control point (VCP), gross error detection and elimination, and robust and fast method of large-scale BA are studied in this paper. On this basis, the experimental analysis and validation of 13pairs (39 images) of ZY-3 satellite imagery in Antarctic are carried out. The results show that the sparse matrix technology can effectively reduce the memory requirement. The combined matrix block and GPU parallel technology can solve the problem of large-scale BA computational efficiency. In addition, after BA, the maximum residual is 3.920 pixel, the root mean square error (RMSE) is 0.169 pixel in the X (flight) direction, the maximum residual error is 5.933 pixel, and the RMSE is 0.191 pixel in the Y (scan) direction. The proposed method has certain accuracy and stability in large-scale BA without GCP using high-resolution satellite remote sensing imagery in Antarctica. The relative positioning accuracy can reach sub-pixel level, which can meet the requirements of cartographic splicing. |
format |
Article in Journal/Newspaper |
author |
Wang, Yi He, Mingyuan Xiang, Jie Ge, Jingjing |
spellingShingle |
Wang, Yi He, Mingyuan Xiang, Jie Ge, Jingjing Block Adjustment of Large-scale Domestic Optical Satellite Remote Sensing Imagery without GCP in Antarctic |
author_facet |
Wang, Yi He, Mingyuan Xiang, Jie Ge, Jingjing |
author_sort |
Wang, Yi |
title |
Block Adjustment of Large-scale Domestic Optical Satellite Remote Sensing Imagery without GCP in Antarctic |
title_short |
Block Adjustment of Large-scale Domestic Optical Satellite Remote Sensing Imagery without GCP in Antarctic |
title_full |
Block Adjustment of Large-scale Domestic Optical Satellite Remote Sensing Imagery without GCP in Antarctic |
title_fullStr |
Block Adjustment of Large-scale Domestic Optical Satellite Remote Sensing Imagery without GCP in Antarctic |
title_full_unstemmed |
Block Adjustment of Large-scale Domestic Optical Satellite Remote Sensing Imagery without GCP in Antarctic |
title_sort |
block adjustment of large-scale domestic optical satellite remote sensing imagery without gcp in antarctic |
publisher |
IOP Publishing |
publishDate |
2020 |
url |
http://dx.doi.org/10.1088/1755-1315/428/1/012082 https://iopscience.iop.org/article/10.1088/1755-1315/428/1/012082/pdf https://iopscience.iop.org/article/10.1088/1755-1315/428/1/012082 |
long_lat |
ENVELOPE(-112.453,-112.453,57.591,57.591) |
geographic |
Antarctic The ''Y'' |
geographic_facet |
Antarctic The ''Y'' |
genre |
Antarc* Antarctic Antarctica |
genre_facet |
Antarc* Antarctic Antarctica |
op_source |
IOP Conference Series: Earth and Environmental Science volume 428, issue 1, page 012082 ISSN 1755-1307 1755-1315 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1755-1315/428/1/012082 |
container_title |
IOP Conference Series: Earth and Environmental Science |
container_volume |
428 |
container_start_page |
012082 |
_version_ |
1800758560027574272 |