{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T14:58:07Z","timestamp":1773413887889,"version":"3.50.1"},"reference-count":19,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2014,5,26]],"date-time":"2014-05-26T00:00:00Z","timestamp":1401062400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The drift angle caused by the Earth\u2019s self-rotation may introduce rotational displacement artifact on the geolocation results of imagery acquired by an Earth observing sensor onboard the International Space Station (ISS). If uncorrected, it would cause a gradual degradation of positional accuracy from the center towards the edges of an image. One correction method to account for the drift angle effect was developed. The drift angle was calculated from the ISS state vectors and positional information of the ground nadir point of the imagery. Tests with images acquired by the International Space Station Agriculture Camera (ISSAC) using Google EarthTM as a reference indicated that applying the drift angle correction can reduce the residual geolocation error for the corner points of the ISSAC images from over 1000 to less than 500 m. The improved geolocation accuracy is well within the inherent geolocation uncertainty of up to 800 m, mainly due to imprecise knowledge of the ISS attitude and state parameters required to perform the geolocation algorithm.<\/jats:p>","DOI":"10.3390\/rs6064647","type":"journal-article","created":{"date-parts":[[2014,5,27]],"date-time":"2014-05-27T02:36:58Z","timestamp":1401158218000},"page":"4647-4659","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Improving the Geolocation Algorithm for Sensors Onboard the ISS: Effect of Drift Angle"],"prefix":"10.3390","volume":"6","author":[{"given":"Changyong","family":"Dou","sequence":"first","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth,  Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian, Beijing 100094, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Earth System Science and Policy, University of North Dakota, Grand Forks,  ND 58202, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huadong","family":"Guo","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth,  Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian, Beijing 100094, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunming","family":"Han","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth,  Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian, Beijing 100094, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Aviation Information and Control Technology in Universities of Shandong (Binzhou University), No. 391 Yellow River Fifth Road, Binzhou 256603, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,5,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2613","DOI":"10.1080\/01431160600552250","article-title":"How earth remote sensing from the international space station complements current satellite-based sensors","volume":"27","author":"Gebelein","year":"2006","journal-title":"Int. J. Remote Sens"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Olsen, D.R., Kim, H.J., Ranganathan, J., and Laguette, S. (2011). Development of a low-cost student-built multi-spectral sensor for the international space station. Proc. SPIE.","DOI":"10.1117\/12.896554"},{"key":"ref_3","unstructured":"Tank, V., Oertel, D., Zhukov, B., Shreier, F., Beier, K., Haschberger, P., Lorenz, E., Skrbek, W., and Jahn, H. (2001, January 20\u201322). Focus on Iss-Sensor and Data Fusion for Earth Observation from Space. Baden-Baden, Germany."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Jacobson, C.A. (2007, January 3\u201310). International Space Station Remote Sensing Pointing Analysis. 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Rocket"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"625","DOI":"10.14358\/PERS.79.7.625","article-title":"Geolocation algorithm for earth observation sensors onboard international space station","volume":"79","author":"Dou","year":"2013","journal-title":"Photogramm. Eng. Remote Sens"},{"key":"ref_9","unstructured":"Ranganathan, J., Olsen, D., and Semke, W. (2012). Topics in Modal Analysis II, Springer."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"464","DOI":"10.3390\/rs2020464","article-title":"Radiometric calibration for Agcam","volume":"2","author":"Olsen","year":"2010","journal-title":"Remote Sens"},{"key":"ref_11","first-page":"402","article-title":"Study of the drift angle control in a space camera","volume":"10","author":"Li","year":"2002","journal-title":"Opt. Precis. Eng"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1109\/5.90158","article-title":"The active microwave instrument on-board the ERS-1 satellite","volume":"79","author":"Attema","year":"1991","journal-title":"Proc. IEEE"},{"key":"ref_13","first-page":"42","article-title":"Computation of yaw program to compensate the effect of Earth rotation","volume":"5","author":"Nagarajan","year":"1995","journal-title":"J. Spacecr. Technol"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1016\/j.actaastro.2005.03.050","article-title":"Resourcesat-1: Aglobal multi-observation mission for resources monitoring","volume":"57","author":"Seshadri","year":"2005","journal-title":"Acta Astronaut"},{"key":"ref_15","first-page":"39","article-title":"The drift angle of high resolution satellite remote sensing imagery and its compensation","volume":"23","author":"Wang","year":"2002","journal-title":"J. Astronuat"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Ghosh, S.K. (1985). Image motion compensation through augmented collinearity equations. Opt. Eng, 24.","DOI":"10.1117\/12.7973620"},{"key":"ref_17","first-page":"1585","article-title":"Space optical remote sensor image motion velocity vector computational modeling","volume":"24","author":"Wang","year":"2004","journal-title":"Acta Opt. Sinica"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/S0034-4257(02)00085-8","article-title":"Achieving sub-pixel geolocation accuracy in support of MODIS land science","volume":"83","author":"Wolfe","year":"2002","journal-title":"Remote Sens. Environ"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1014","DOI":"10.3390\/rs3051014","article-title":"A comparison of three geometric self-calibration methods for range cameras","volume":"3","author":"Lichti","year":"2011","journal-title":"Remote Sens"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/6\/4647\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:11:48Z","timestamp":1760217108000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/6\/4647"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,5,26]]},"references-count":19,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2014,6]]}},"alternative-id":["rs6064647"],"URL":"https:\/\/doi.org\/10.3390\/rs6064647","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,5,26]]}}}