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International Journal of Remote Sensing Volume 34, 2013 - Issue 9-10: Third International Symposium on Recent Advances in Quantitative Remote Sensing
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Original Articles

Automatic detection of field furrows from very high resolution optical imagery

S. Le Hegarat-Mascle IEF/ACCIS, Université Paris-Sud, 91405, Orsay cedex, FranceCorrespondence[email protected]
&
C. Ottle LSCE-IPSL, Orme des Merisiers, 91191, Gif-sur-Yvette, France
Pages 3467-3484 | Received 11 Jan 2011, Accepted 04 Jul 2011, Published online: 30 Oct 2012

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Essayas K. Ayana, Jonathan R. B. Fisher, Perrine Hamel & Timothy M. Boucher. (2017) Identification of ditches and furrows using remote sensing: application to sediment modelling in the Tana watershed, Kenya. International Journal of Remote Sensing 38:16, pages 4611-4630.
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ArthurP. Cracknell. (2013) Third International Symposium on Recent Advances in Quantitative Remote Sensing. International Journal of Remote Sensing 34:9-10, pages 3047-3050.
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Articles from other publishers (2)

Joaquín Torres-Sospedra & Patricio Nebot. (2019) Combining Satellite Images and Cadastral Information for Outdoor Autonomous Mapping and Navigation: A Proof-of-Concept Study in Citric Groves. Algorithms 12:9, pages 193.
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Min Wang, Jinjin Xing, Jie Wang & Guonian Lv. (2017) Technical design and system implementation of region-line primitive association framework. ISPRS Journal of Photogrammetry and Remote Sensing 130, pages 202-216.
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