PDF(2423 KB)
A Fast Photogrammetric Processing Method for Linear Pushbroom Planetary Remote Sensing Images
Author information
+
1. College of Geography and Environmental Science, Henan University, Kaifeng 475004, China;
2. Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Zhengzhou 450000, China;
3. School of Geospatial Information, Information Engineering University, Zhengzhou 450052, China
Show less
History
+
Received |
Revised |
Published |
30 Dec 2020 |
18 Feb 2022 |
12 Jul 2022 |
Issue Date |
|
20 Jun 2022 |
|
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
This is a preview of subscription content, contact
us for subscripton.
References
[1] 徐青,邢帅,周杨,等. 深空行星形貌测绘的理论技术与方法[M]. 北京:科学出版社,2016.
[2] 徐青,耿迅,蓝朝桢,等. 火星地形测绘研究综述[J]. 深空探测学报(中英文),2014,1(1):28-35
XU Q,GENG X,LAN C Z,et al. Review of Mars topographic mapping[J]. Journal of Deep Space Exploration,2014,1(1):28-35
[3] FERGASON R L,KIRK R L,CUSHING G,et al. Analysis of local slopes at the InSight landing site on Mars[J]. Space Science Review,2017,211:109-133
[4] GOLOMBEK M P,GRANT J A,PARKER T J,et al. Selection of the Mars exploration rover landing sites[J]. Journal of Geophysical Research,Planets,2003,108:E12
[5] 耿迅. 火星形貌摄影测量技术研究[J]. 测绘学报,2015,44(8):944
GENG X. Research on photogrammetric processing for Mars topographic mapping[J]. Acta Geodaetica et Cartographica Sinica,2015,44(8):944
[6] 邸凯昌,刘斌,刘召芹,等. 月球遥感制图回顾与展望[J]. 遥感学报,2016,20(5):1230-1242
DI K C,LIU B,LIU Z Q,et al. Review and prospect of lunar mapping using remote sensing data[J]. Journal of Remote Sensing,2016,20(5):1230-1242
[7] 李春来,刘建军,任鑫,等. 基于嫦娥二号立体影像的全月高精度地形重建[J]. 武汉大学学报 信息科学版,2018,43(4):485-495
LI C L,LIU J J,REN X,et al. Lunar global high-precision terrain reconstruction based on Chang'e-2 stereo images[J]. Geomatics and Information Science of Wuhan University,2018,43(4):485-495
[8] KIRK R L,KRAUS E H,ROSIEK R M,et al. Ultrahigh resolution topographic mapping of Mars with MRO HiRISE stereo images:meter-scale slopes of candidate Phoenix landing sites[J]. Journal of Geophysical Research,Planets,2008,113:5578-5579
[9] DI K C,LIU Y,LIU B,et al. A self-calibration bundle adjustment method for photogrammetric processing of Chang’E-2 stereo lunar imagery[J]. IEEE Transactions on Geoscience and Remote Sensing,2014,52(9):5432-5442
[10] LI R X,HWANGBO J,CHEN Y H,et al. Rigorous photogrammetric processing of HiRISE stereo imagery for Mars topographic mapping[J]. IEEE Transactions on Geoscience and Remote Sensing,2011,49(7):2558-2572
[11] GWINNER K,JAUMANN R,HAUBER E,et al. The High Resolution Stereo Camera (HRSC) of Mars express and its approach to science analysis and mapping for Mars and its satellites[J]. Planetery and Space Science,2016,126:93-138
[12] KIRK R L,KRAUS E H,EDMUNDSON K,et al. Community tools for cartographic and photogrammetric processing of Mars express HRSC images[C]//International Archives of the Photogrammetry,Remote Sensing and Spatial Informaiton Sciences—ISPRS Archives. Hongkong,China:[s. n. ],2017.
[13] EDMUNDSON K L,COOK D A,THOMAS O H,et al. Jigsaw:the ISIS3 bundle adjustment for extraterrestrial photogrammetry[C]//International Archives of the Photogrammetry,Remote Sensing and Spatial Informaiton Sciences—ISPRS Archives. Melbourne,Australia:[s. n. ],2012.
[14] GENG X,XU Q,XING S,et al. A robust ground‐to‐image transformation algorithm and its applications in the geometric processing of linear pushbroom images[J]. Earth and Space Science,2019,6(10):1805-1830
[15] ACTON C,BACHMAN N,SEMENOV B,et al. SPICE tools supporting planetary remote sensing[C]// International Archives of the Photogrammetry,Remote Sensing and Spatial Informaiton Sciences—ISPRS Archives. Prague,Czech Public:[s. n. ],2016
[16] BEYER R A,ALEXANDROV O,MCMICHAEL S. The ames stereo pipeline:NASA's open source software for deriving and processing terrain data[J]. Earth and Space Science,2018(5):537-548
[17] GENG X,XU Q,XING S,et al. A generic pushbroom sensor model for planetary photogrammetry[J]. Earth and Space Science,2020,7(5):1-9
[18] GENG X,XU Q,LAN C Z,et al. Orthorectification of planetary linear pushbroom images based on an improved back projection algorithm[J]. IEEE Geosci. Remote Sens. Lett.,2019,16(6):854-858
[19] WANG M,HU F,LI J,et al. A fast approach to best scanline search of airborne linear pushbroom images[J]. Photogramm. Eng. Remote. Sens.,2009,75(9):1059-1067