Maximizing urban features extraction from multi-sensor data with Dempster-Shafer theory and HSI data fusion techniques

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Maximizing urban features extraction from multi-sensor data with Dempster-Shafer theory and HSI data fusion techniques

This paper compares two multi-sensor data fusion techniques – Dempster-Sharfer Theory (DST) and Hue Saturation Intensity (HSI). The objective is to evaluate the effectiveness of the methods interm in space and time and quality of information extraction. LiDAR and hyperspectral data were fused using...

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Bibliographic Details
Main Authors:	Idrees, Mohammed Oludare, Saeidi, Vahideh, Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi
Format:	Article
Language:	English
Published:	Asian Online Journals 2015
Online Access:	http://psasir.upm.edu.my/id/eprint/45421/ http://psasir.upm.edu.my/id/eprint/45421/1/LIDAR.pdf

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