{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T03:03:37Z","timestamp":1768619017807,"version":"3.49.0"},"reference-count":26,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,1,29]],"date-time":"2019-01-29T00:00:00Z","timestamp":1548720000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Research and Development Program of the Ministry of Science and Technology","award":["2016YFB0500801"],"award-info":[{"award-number":["2016YFB0500801"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["91538106"],"award-info":[{"award-number":["91538106"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41601490"],"award-info":[{"award-number":["41601490"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41501383"],"award-info":[{"award-number":["41501383"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Luojia 1-01 Satellite (LJ1-01) is the first professional night-light remote-sensing satellite in China, and thus, it is of pioneering significance for the development of night-light remote sensing satellites in China and the application of remote sensing in the social and economic fields. To ensure the application of night-light remote-sensing data, several studies concerning on-orbit geometric calibration and accuracy verification have been carried out for the complementary metal oxide semiconductor (CMOS) rolling shutter camera of LJ1-01 since the launch of the satellite. Owing to the lack of high-precision nightlight geometric reference at home and abroad, it is difficult to directly calibrate the nighttime light image of LJ1-01. Based on the principle of rolling shutter dynamic imaging, a rigorous geometric imaging model of the time-sharing exposure of the rolling shutter of LJ1-01 is established, and a geometric calibration method for daytime imaging calibration and compensated nighttime light data is proposed. The global public Landsat digital orthophoto image (DOM) with a 15-m resolution and 90-m Shuttle Radar Topography Mission digital elevation model (SRTM-DEM) are used as control data. The images obtained in England, Venezuela, Caracas, Damascus, and Torreon (Mexico) were selected as experimental data. The on-orbit calibration and accuracy verification of LJ1-01 were carried out. Experiments show that after on-orbit geometric calibration, the daytime calibration parameters can effectively compensate for the systematic errors of night-light images. After compensation, the positioning accuracy of night-light images without geometric control points (GCPs) is improved from nearly 20 km to less than 0.65 km. The internal accuracy of the calibrated night-light images is better than 0.3 pixels, which satisfies the requirement of subsequent applications.<\/jats:p>","DOI":"10.3390\/rs11030264","type":"journal-article","created":{"date-parts":[[2019,1,29]],"date-time":"2019-01-29T11:27:52Z","timestamp":1548761272000},"page":"264","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["On-Orbit Geometric Calibration and Validation of Luojia 1-01 Night-Light Satellite"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3987-5336","authenticated-orcid":false,"given":"Guo","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}]},{"given":"Jingyin","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5777-4144","authenticated-orcid":false,"given":"Yonghua","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"}]},{"given":"Ping","family":"Zhou","sequence":"additional","affiliation":[{"name":"Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of China, Beijing 100812,  China"}]},{"given":"Yanbin","family":"Zhao","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Satellite Engineering, Shanghai 200240, China"}]},{"given":"Yi","family":"Xu","sequence":"additional","affiliation":[{"name":"Shanghai Institute of Satellite Engineering, Shanghai 200240, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,1,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Li, X., Zhao, L., Li, D., and Xu, H. (2018). Mapping Urban Extent Using Luojia 1-01 Nighttime Light Imagery. Sensors, 18.","DOI":"10.3390\/s18113665"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Jiang, W., He, G., Long, T., Guo, H., Yin, R., Leng, W., Liu, H., and Wang, G. (2018). Potentiality of Using Luojia 1-01 Nighttime Light Imagery to Investigate Artificial Light Pollution. Sensors, 18.","DOI":"10.3390\/s18092900"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Wang, L., Chen, R., Li, D., Zhang, G., Shen, X., Yu, B., Wu, C., Xie, S., Zhang, P., and Li, M. (2018). Initial Assessment of the LEO Based Navigation Signal Augmentation System from Luojia-1A Satellite. Sensors, 18.","DOI":"10.3390\/s18113919"},{"key":"ref_4","first-page":"591","article-title":"An Overview on Data Mining of Nighttime Light Remote Sensing","volume":"44","author":"LI","year":"2015","journal-title":"Acta Geod. Cartogr. Sin."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1109\/MCD.2005.1438751","article-title":"CMOS image sensors","volume":"21","author":"Eltoukhy","year":"2005","journal-title":"IEEE Circuits Devices Mag."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1250","DOI":"10.1109\/LSP.2016.2591878","article-title":"An Affine Motion Model for Removing Rolling Shutter Distortions","volume":"23","author":"Sun","year":"2016","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.cviu.2017.08.010","article-title":"Self-calibration of omnidirectional multi-cameras including synchronization and rolling shutter","volume":"162","author":"Lhuillier","year":"2017","journal-title":"Comput. Vis. Image Underst."},{"key":"ref_8","unstructured":"Meingast, M., Geyer, C., and Sastry, S. (2005). Geometric Models of Rolling-Shutter Cameras. Comput. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"139","DOI":"10.5194\/isprs-annals-III-3-139-2016","article-title":"PHOTOGRAMMETRIC ACCURACY AND MODELING OF ROLLING SHUTTER CAMERAS","volume":"III-3","author":"Ye","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"4161","DOI":"10.1109\/TGRS.2013.2280134","article-title":"Geometric Calibration and Accuracy Assessment of ZiYuan-3 Multispectral Images","volume":"52","author":"Jiang","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2100","DOI":"10.1109\/LGRS.2015.2450251","article-title":"Verification of ZY-3 Satellite Imagery Geometric Accuracy Without Ground Control Points","volume":"12","author":"Tang","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.isprsjprs.2017.01.004","article-title":"On-orbit geometric calibration and geometric quality assessment for the high-resolution geostationary optical satellite GaoFen4","volume":"125","author":"Mi","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.isprsjprs.2017.10.009","article-title":"Auto-calibration of GF-1 WFV images using flat terrain","volume":"134","author":"Zhang","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3985","DOI":"10.1109\/TGRS.2015.2388700","article-title":"Systematic Error Compensation Based on a Rational Function Model for Ziyuan1-02C","volume":"53","author":"Jiang","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"531","DOI":"10.14358\/PERS.77.5.531","article-title":"In-flight Geometric Calibration and Orientation of ALOS\/PRISM Imagery with a Generic Sensor Model","volume":"77","author":"Radhadevi","year":"2011","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Bouillon, A., Breton, E., Lussy, F.D., and Gachet, R. (2002, January 23\u201327). SPOT5 HRG and HRS first in-flight geometric quality results. Proceedings of the International Symposium on Remote Sensing, Crete, Greece.","DOI":"10.1117\/12.462637"},{"key":"ref_17","first-page":"51","article-title":"Lens distortion for close-range photogrammetry","volume":"52","author":"Fryer","year":"1986","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_18","unstructured":"Kong, B. (2004). A Simple and Precise Method for Radial Distortion Calibration. J. Image Graph., 9."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/S0924-2716(97)00005-1","article-title":"Digital camera self-calibration","volume":"52","author":"Fraser","year":"1997","journal-title":"Isprs J. Photogramm. Remote Sens."},{"key":"ref_20","unstructured":"(2018, December 16). Landsat Data Access|Landsat Missions, Available online: https:\/\/landsat.usgs.gov\/landsat-data-access."},{"key":"ref_21","unstructured":"(2018, December 16). CGIAR-CSI SRTM\u2014SRTM 90m DEM Digital Elevation Database. Available online: http:\/\/srtm.csi.cgiar.org\/."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1529","DOI":"10.1109\/TGRS.2006.888937","article-title":"Automatic and precise orthorectification, coregistration, and subpixel correlation of satellite images, application to ground deformation measurements","volume":"45","author":"Leprince","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.isprsjprs.2018.05.008","article-title":"CCD distortion calibration without accurate ground control data for pushbroom satellites","volume":"142","author":"Jiang","year":"2018","journal-title":"Isprs J. Photogramm. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"7674","DOI":"10.1109\/TGRS.2014.2316419","article-title":"Detection and Correction of Relative Attitude Errors for ZY1-02C","volume":"52","author":"Jiang","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_25","unstructured":"Xinming, T., Guo, Z., Huang, W., Jiang, W., Wu, X., and Fen, H. (2018, December 16). Plane and Stereo Precision Prediction Method for LEO Satellites. Available online: https:\/\/patents.google.com\/patent\/CN103868531A\/zh."},{"key":"ref_26","first-page":"1","article-title":"Discussion on Evaluation of Satellite Imagery Location Accuracy","volume":"38","author":"Wang","year":"2017","journal-title":"Spacecr. Recov. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/3\/264\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:29:26Z","timestamp":1760185766000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/3\/264"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,29]]},"references-count":26,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2019,2]]}},"alternative-id":["rs11030264"],"URL":"https:\/\/doi.org\/10.3390\/rs11030264","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,29]]}}}