{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T16:50:23Z","timestamp":1770137423523,"version":"3.49.0"},"posted":{"date-parts":[[2018,9,14]]},"group-title":"PeerJ Preprints","reference-count":0,"publisher":"PeerJ","license":[{"start":{"date-parts":[[2018,9,14]],"date-time":"2018-09-14T00:00:00Z","timestamp":1536883200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Smapshot is a web-based participatory virtual globe where users can georeference historical images of the landscape by clicking a minimum of six well identifiable correspondence points between the image and a 3D virtual globe. The images database is expected to grow exponentially. In a near future, the work of the web users will no longer be enough.<\/jats:p>\n        <jats:p>To tackle this issue, we developed a semi-automatic process to georeference images. The volunteers will be shown only images having a maximum number of neighbour images in the matching graph. These neighbour images are the ones with which they share some overlay. This overlap is detected using the SIFT algorithm in a pairewise matching process.<\/jats:p>\n        <jats:p>For an image pair made of a reference image with a known pose and a query image we want to georeference, we extracted the 3D world coordinates of the tie points from a digital elevation model.<\/jats:p>\n        <jats:p>Then, by running a perspective-n-point algorithm after having geometrically tested the resulting homography between the two images, we compute the 6 degree of freedom pose, i.e. the position (X,Y,Z) and orientation (azimuth, tilt and roll angles) of the query image. The query image then becomes a reference and the georeference computation can be propagated more deeply in the graph structure.<\/jats:p>","DOI":"10.7287\/peerj.preprints.27204v1","type":"posted-content","created":{"date-parts":[[2018,9,16]],"date-time":"2018-09-16T00:30:38Z","timestamp":1537057838000},"source":"Crossref","is-referenced-by-count":3,"title":["A semi-automatic tool to georeference historical landscape images"],"prefix":"10.7287","author":[{"given":"Nicolas","family":"Blanc","sequence":"first","affiliation":[{"name":"Institute of Territorial Engineering, School of Management and Engineering Vaud, University of Applied Sciences of Western Switzerland, Yverdon-les-Bains, Vaud, Switzerland"}]},{"given":"Timoth\u00e9e","family":"Produit","sequence":"additional","affiliation":[{"name":"Institute of Territorial Engineering, School of Management and Engineering Vaud, University of Applied Sciences of Western Switzerland, Yverdon-les-Bains, Vaud, Switzerland"}]},{"given":"Jens","family":"Ingensand","sequence":"additional","affiliation":[{"name":"Institute of Territorial Engineering, School of Management and Engineering Vaud, University of Applied Sciences of Western Switzerland, Yverdon-les-Bains, Vaud, Switzerland"}]}],"member":"4443","container-title":[],"original-title":[],"link":[{"URL":"https:\/\/peerj.com\/preprints\/27204v1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/peerj.com\/preprints\/27204v1.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/peerj.com\/preprints\/27204v1.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/peerj.com\/preprints\/27204v1.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,12,24]],"date-time":"2019-12-24T00:43:27Z","timestamp":1577148207000},"score":1,"resource":{"primary":{"URL":"https:\/\/peerj.com\/preprints\/27204v1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,14]]},"references-count":0,"aliases":["10.7287\/peerj.preprints.27204"],"URL":"https:\/\/doi.org\/10.7287\/peerj.preprints.27204v1","relation":{},"subject":[],"published":{"date-parts":[[2018,9,14]]},"subtype":"preprint"}}