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European Journal of Remote Sensing Volume 50, 2017 - Issue 1

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A metaheuristic feature-level fusion strategy in classification of urban area using hyperspectral imagery and LiDAR data

Hadiseh HasaniSchool of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, IranCorrespondence[email protected]

Farhad SamadzadeganSchool of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Peter ReinartzDepartment of Photogrammetry and Image Analysis, Remote Sensing Technology Institute, German Aerospace Center (DLR), Weßling, Germany

Pages 222-236 | Received 08 May 2016, Accepted 29 Mar 2017, Published online: 18 Apr 2017

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https://doi.org/10.1080/22797254.2017.1314179
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Iman Khosravi, Yury Razoumny, Javad Hatami Afkoueieh & Seyed Kazem Alavipanah. (2021) Fully polarimetric synthetic aperture radar data classification using probabilistic and non-probabilistic kernel methods. European Journal of Remote Sensing 54:1, pages 310-317.
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