Fusion of airborne LiDAR with multispectral SPOT 5 image for enhancement of feature extraction using Dempster–Shafer theory

Fusion of airborne LiDAR with multispectral SPOT 5 image for enhancement of feature extraction using Dempster–Shafer theory

This paper presents an application of data-driven Dempster-Shafer theory (DST) of evidence to fuse multisensor data for land-cover feature extraction. Over the years, researchers have focused on DST for a variety of applications. However, less attention has been given to generate and interpret proba...

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Bibliographic Details
Main Authors: Saeidi, Vahideh, Pradhan, Biswajeet, Idrees, Mohammed Oludare, Abd Latif, Zulkiflee
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers 2014
Online Access:http://psasir.upm.edu.my/id/eprint/37730/1/Fusion%20of%20airborne%20LiDAR%20with%20multispectral%20SPOT%205%20image%20for%20enhancement%20of%20feature%20extraction%20using%20Dempster.pdf
http://psasir.upm.edu.my/id/eprint/37730/
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Institution: Universiti Putra Malaysia
Language: English

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http://psasir.upm.edu.my/id/eprint/37730/1/Fusion%20of%20airborne%20LiDAR%20with%20multispectral%20SPOT%205%20image%20for%20enhancement%20of%20feature%20extraction%20using%20Dempster.pdf
http://psasir.upm.edu.my/id/eprint/37730/

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