{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T15:14:56Z","timestamp":1729610096464,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/icip.2017.8296529","type":"proceedings-article","created":{"date-parts":[[2018,2,22]],"date-time":"2018-02-22T17:03:23Z","timestamp":1519319003000},"page":"1487-1491","source":"Crossref","is-referenced-by-count":0,"title":["3D georegistration of wide area motion imagery by combining SFM and chamfer alignment of vehicle detections to vector roadmaps"],"prefix":"10.1109","author":[{"given":"Li","family":"Ding","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"Elliethy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaurav","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"90890v","DOI":"10.1117\/12.2053034","article-title":"Aerial video georegistration using terrain models from dense and coherent stereo matching","volume":"9089","author":"ruano","year":"2014","journal-title":"Proc SPIE"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1117\/12.2015974"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6637976"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477632"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2013.13"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/34.121791"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0107-3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2601265"},{"journal-title":"Digital Video Processing","year":"1995","author":"tekalp","key":"ref18"},{"key":"ref19","volume":"1395","author":"snyder","year":"1987","journal-title":"Map Projections-A Working Manual"},{"journal-title":"Persistent surveillance systems","article-title":"Wide-area aerial surveillance systems","year":"0","key":"ref4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.161"},{"journal-title":"Gobal Security","article-title":"Constant hawk","year":"0","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1117\/12.919578"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1117\/12.922167"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.136"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/AIPR.2011.6176343"},{"journal-title":"Defense Advanced Research Projects Agency","article-title":"Autonomous real-time ground ubiquitous surveillance imaging system","year":"0","key":"ref2"},{"key":"ref9","first-page":"525","article-title":"Accurate geo-registration by ground-to-aerial image matching","volume":"1","author":"shan","year":"2014","journal-title":"Int Conf on 3D Vision"},{"journal-title":"CorvusEye 1500 Data Sheet","year":"0","key":"ref1"},{"key":"ref20","first-page":"659","article-title":"Parametric correspondence and chamfer matching: Two new techniques for image matching","author":"barrow","year":"1977","journal-title":"Proc Int Joint Conf Artificial Intell"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.5.001127"},{"key":"ref21","first-page":"1","article-title":"Maximum likelihood from incomplete data via the EM algorithm","author":"dempster","year":"1977","journal-title":"J Roy Statist Soc Series B (Methodol )"},{"journal-title":"Open street map","year":"0","key":"ref24"},{"journal-title":"Multiple View Geometry in Computer Vision","year":"2003","author":"hartley","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2013.25"},{"journal-title":"Google Static Maps API","year":"0","key":"ref25"}],"event":{"name":"2017 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2017,9,17]]},"location":"Beijing","end":{"date-parts":[[2017,9,20]]}},"container-title":["2017 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8267582\/8296222\/08296529.pdf?arnumber=8296529","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T09:41:16Z","timestamp":1570786876000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8296529\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icip.2017.8296529","relation":{},"subject":[],"published":{"date-parts":[[2017,9]]}}}