Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6216
Title: Airborne Radar Clutter Simulation Using Hyperspectral and Lidar Imagery
Authors: Seyfioğlu, Mehmet Saygın
Gürbüz, Sevgi Zübeyde
Keywords: radar clutter simulation
hyperspectral image classification
digital elevation model
lidar
Issue Date: 2014
Publisher: IEEE
Source: IEEE Joint International Geoscience and Remote Sensing Symposium (IGARSS) / 35th Canadian Symposium on Remote Sensing -- JUL 13-18, 2014 -- Quebec City, CANADA
Series/Report no.: IEEE International Symposium on Geoscience and Remote Sensing IGARSS
Abstract: A key factor degrading the performance of airborne radar is clutter. Many current clutter mitigation algorithms rely on statistical clutter models; however, such models fail to incorporate the time varying, site dependent nature of unwanted scattering. Hyperspectral imagery combined with lidar-derived elevation data offers a unique and comprehensive assessment of the radar clutter environment. Elevation data can be used to compute the range of scatters to the radar, while hyperspectral data processing can yield information on terrain features, which directly impacts electromagnetic backscattering. A simulated airborne clutter map is provided, and statistics compared to typical clutter distributions.
URI: https://doi.org/10.1109/IGARSS.2014.6947092
https://hdl.handle.net/20.500.11851/6216
ISBN: 978-1-4799-5775-0
ISSN: 2153-6996
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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