صورة الغلاف

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...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Idrees, Mohammed Oludare, Saeidi, Vahideh, Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi
التنسيق:	مقال
اللغة:	English
منشور في:	Asian Online Journals 2015
الوصول للمادة أونلاين:	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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