Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7421
Title: SAR IMAGE RECONSTRUCTION WITH JOINT OFF-GRID TARGET AND PHASE ERROR CORRECTIONS
Authors: Çamlıca, Sedat
Gürbüz, Ali Cafer
Arıkan, Orhan
Keywords: SAR
autofocus
image reconstruction
offgrid targets
compressive sensing
Issue Date: 2015
Publisher: IEEE
Source: IEEE International Geoscience and Remote Sensing Symposium (IGARSS) -- JUL 26-31, 2015 -- Milan, ITALY
Series/Report no.: IEEE International Symposium on Geoscience and Remote Sensing IGARSS
Abstract: Synthetic Aperture Radar (SAR) has significant importance in many remote sensing applications. Errors due to the platform motion or measurement model uncertainties can cause degradations in the constructed SAR images. Most of the methods deal with the phase errors which cause defocusing on the image. For efficient processing of the measurements, they discretize the fast time-slow time plane and then employ autofocus algorithms on this discrete grid. However, the reflectors which are not placed exactly on the grid degrade the image quality considerably. This is the most probable case in the practical SAR operation and it causes blur or spark like affects on the image. This is called the off-grid target problem. In this work, a Compressed Sensing based technique is developed which constructs spotlight mode SAR image, handles the off-grid target problem and makes autofocus simultaneously. A gradient descent type iterative solution is used.
URI: https://hdl.handle.net/20.500.11851/7421
ISBN: 978-1-4799-7929-5
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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