DENSE IMAGE MATCHING FOR MARS EXPRESS HRSC IMAGERY BASED ON PRECISE POINT PREDICTION METHOD
Currently, Mars Express HRSC imagery is an essential data source to derive high accuracy Mars topographic data. In view of the characteristics of Martian surface satellite imagery, a dense image matching scheme for HRSC imagery based on precise point prediction method is proposed. The image matching...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B4/391/2016/isprs-archives-XLI-B4-391-2016.pdf |
| _version_ | 1818486985116876800 |
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| author | X. Geng Q. Xu J. Miao Y. F. Hou S. Xing C. Z. Lan |
| author_facet | X. Geng Q. Xu J. Miao Y. F. Hou S. Xing C. Z. Lan |
| author_sort | X. Geng |
| collection | DOAJ |
| description | Currently, Mars Express HRSC imagery is an essential data source to derive high accuracy Mars topographic data. In view of the characteristics of Martian surface satellite imagery, a dense image matching scheme for HRSC imagery based on precise point prediction method is proposed. The image matching strategies of our method are elaborated in detail. Based on the proposed method, DEM and DOM of Martian surface are derived and compared with those published by ESA. The experiment results show that the root mean square error in planar direction is about three pixels, while the root mean square error in height direction is about one pixel. Moreover, the mean square error in plane direction show a certain systematic error and the reasons are analysed. Experiment results also demonstrate that the point prediction accuracy for corresponding points is up to 1–3 pixels. |
| first_indexed | 2024-12-10T16:30:57Z |
| format | Article |
| id | doaj.art-d68739749306423e8f5f7a781fb8999a |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-10T16:30:57Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-d68739749306423e8f5f7a781fb8999a2022-12-22T01:41:32ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B439139510.5194/isprs-archives-XLI-B4-391-2016DENSE IMAGE MATCHING FOR MARS EXPRESS HRSC IMAGERY BASED ON PRECISE POINT PREDICTION METHODX. Geng0Q. Xu1J. Miao2Y. F. Hou3S. Xing4C. Z. Lan5Information Engineering University, Institute of Surveying and Mapping, 450001 Zhengzhou, ChinaInformation Engineering University, Institute of Surveying and Mapping, 450001 Zhengzhou, ChinaXi’an Information Technique Institute of Surveying and Mapping, 710054 Xi’an, ChinaInformation Engineering University, Institute of Surveying and Mapping, 450001 Zhengzhou, ChinaInformation Engineering University, Institute of Surveying and Mapping, 450001 Zhengzhou, ChinaInformation Engineering University, Institute of Surveying and Mapping, 450001 Zhengzhou, ChinaCurrently, Mars Express HRSC imagery is an essential data source to derive high accuracy Mars topographic data. In view of the characteristics of Martian surface satellite imagery, a dense image matching scheme for HRSC imagery based on precise point prediction method is proposed. The image matching strategies of our method are elaborated in detail. Based on the proposed method, DEM and DOM of Martian surface are derived and compared with those published by ESA. The experiment results show that the root mean square error in planar direction is about three pixels, while the root mean square error in height direction is about one pixel. Moreover, the mean square error in plane direction show a certain systematic error and the reasons are analysed. Experiment results also demonstrate that the point prediction accuracy for corresponding points is up to 1–3 pixels.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B4/391/2016/isprs-archives-XLI-B4-391-2016.pdf |
| spellingShingle | X. Geng Q. Xu J. Miao Y. F. Hou S. Xing C. Z. Lan DENSE IMAGE MATCHING FOR MARS EXPRESS HRSC IMAGERY BASED ON PRECISE POINT PREDICTION METHOD The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | DENSE IMAGE MATCHING FOR MARS EXPRESS HRSC IMAGERY BASED ON PRECISE POINT PREDICTION METHOD |
| title_full | DENSE IMAGE MATCHING FOR MARS EXPRESS HRSC IMAGERY BASED ON PRECISE POINT PREDICTION METHOD |
| title_fullStr | DENSE IMAGE MATCHING FOR MARS EXPRESS HRSC IMAGERY BASED ON PRECISE POINT PREDICTION METHOD |
| title_full_unstemmed | DENSE IMAGE MATCHING FOR MARS EXPRESS HRSC IMAGERY BASED ON PRECISE POINT PREDICTION METHOD |
| title_short | DENSE IMAGE MATCHING FOR MARS EXPRESS HRSC IMAGERY BASED ON PRECISE POINT PREDICTION METHOD |
| title_sort | dense image matching for mars express hrsc imagery based on precise point prediction method |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B4/391/2016/isprs-archives-XLI-B4-391-2016.pdf |
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