A study of BP-camp algorithm for SAR imaging

Recently, the sparse reconstruction algorithms (SRAs) based on compressive sensing (CS) have been applied in the fields of synthetic aperture radar (SAR) imaging and show plenty of potential advantages. However, due to the great computational complexity and memory cost caused by matrix-vector multip...

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Vydané v:	2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) s. 4480 - 4483
Hlavní autori:	Xiangyin Quan, Zhe Zhang, Bingchen Zhang, Wen Hong, Yirong Wu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2015
Predmet:	Approximation algorithms Azimuth Backprojection complex approximate message passing algorithm (CAMP) compressive sensing (CS) Imaging Radar imaging Radar polarimetry Synthetic aperture radar synthetic aperture radar (SAR)
ISSN:	2153-6996
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