{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T09:02:36Z","timestamp":1766048556547,"version":"build-2065373602"},"reference-count":50,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2015,2,9]],"date-time":"2015-02-09T00:00:00Z","timestamp":1423440000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A new automated approach to the high-accuracy registration of airborne and terrestrial LiDAR data is proposed, which has three primary steps. Firstly, airborne and terrestrial LiDAR data are used to extract building corners, known as airborne corners and terrestrial corners, respectively. Secondly, an initial matching relationship between the terrestrial corners and airborne corners is automatically derived using a matching technique based on maximum matching corner pairs with minimum errors (MTMM). Finally, a set of leading points are generated from matched airborne corners, and a shiftable leading point method is proposed. The key feature of this approach is the implementation of the concept of shiftable leading points in the final step. Since the geometric accuracy of terrestrial LiDAR data is much better than that of airborne LiDAR data, leading points corresponding to anomalous airborne corners could be modified for the improvement of the geometric accuracy of registration. The experiment demonstrates that the proposed approach can advance the geometric accuracy of two-platform LiDAR data registration effectively.<\/jats:p>","DOI":"10.3390\/rs70201915","type":"journal-article","created":{"date-parts":[[2015,2,9]],"date-time":"2015-02-09T10:17:04Z","timestamp":1423477024000},"page":"1915-1936","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Shiftable Leading Point Method for High Accuracy Registration of Airborne and Terrestrial LiDAR Data"],"prefix":"10.3390","volume":"7","author":[{"given":"Liang","family":"Cheng","sequence":"first","affiliation":[{"name":"Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology,  Nanjing University, Nanjing 210093, China"},{"name":"Collaborative Innovation Center for the South Sea Studies, Nanjing University,  Nanjing 210093, China"},{"name":"Collaborative Innovation Center of Novel Software Technology and Industrialization,  Nanjing University, Nanjing 210093, China"},{"name":"Department of Geographic Information Science, Nanjing University, Nanjing 210093, China"}]},{"given":"Lihua","family":"Tong","sequence":"additional","affiliation":[{"name":"Department of Geographic Information Science, Nanjing University, Nanjing 210093, China"}]},{"given":"Yang","family":"Wu","sequence":"additional","affiliation":[{"name":"Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology,  Nanjing University, Nanjing 210093, China"},{"name":"Department of Geographic Information Science, Nanjing University, Nanjing 210093, China"}]},{"given":"Yanming","family":"Chen","sequence":"additional","affiliation":[{"name":"Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology,  Nanjing University, Nanjing 210093, China"},{"name":"Department of Geographic Information Science, Nanjing University, Nanjing 210093, China"}]},{"given":"Manchun","family":"Li","sequence":"additional","affiliation":[{"name":"Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology,  Nanjing University, Nanjing 210093, China"},{"name":"Collaborative Innovation Center for the South Sea Studies, Nanjing University,  Nanjing 210093, China"},{"name":"Department of Geographic Information Science, Nanjing University, Nanjing 210093, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China"}]}],"member":"1968","published-online":{"date-parts":[[2015,2,9]]},"reference":[{"key":"ref_1","unstructured":"Bang, K.I., Habib, A.F., Kusevic, K., and Mrstik, P. 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