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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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書誌詳細
主要な著者:	Idrees, Mohammed Oludare, Saeidi, Vahideh, Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi
フォーマット:	論文
言語:	English
出版事項:	Asian Online Journals 2015
オンライン･アクセス:	http://psasir.upm.edu.my/id/eprint/45421/1/LIDAR.pdf http://psasir.upm.edu.my/id/eprint/45421/ https://ajouronline.com/index.php/AJAS/article/view/2320
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