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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Online Journals
2015
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| Online Access: | 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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