Username: Password:
Computer Vision And Pattern Analysis Laboratory Home Page  Home
People  People
Publications  Publications
Publications  Databases
Contact Information  Contact
Supported Research Projects  Supported Research Projects
Research Activites  Research Activites
Research Groups
SPIS - Signal Processing and Information Systems Lab.SPIS - Signal Processing and Information Systems Lab.
Medical Vision and Analysis Group  Medical Research Activities
Biometrics Research Group  Biometrics Research Group
SPIS - Signal Processing and Information Systems Lab.MISAM - Machine Intelligence for Speech Audio and Multimedia.
Knowledge Base
  Paper Library
  VPA Lab Inventory
  Databases in VPALAB
<<September 2017>>
Mo Tu We Th Fr Sa Su
1 2 3
4 5 6 7 8 9 10
11 12 13 14 15 16 17
18 19 20 21 22 23 24
25 26 27 28 29 30
Upcoming Events:

Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, Autofocusing, Moving Targets, and Compressed Sensing
Authors: Müjdat Çetin, Ivana Stojanovic, N. Ozben Onhon, Kush R. Varshney, Sadegh Samadi, W. Clem Karl, and Alan S. Willsky
Published in: IEEE Signal Processing Magazine, vol. 31, no. 4, pp. 27-40, July 2014
Publication year: 2014
Abstract: This article presents a survey of recent research on sparsity-driven synthetic aperture radar (SAR) imag-ing. In particular, it reviews 1) the analysis and synthe-sis-based sparse signal representation formulations for SAR image for-mation together with the associated im-aging results, 2) sparsity-based methods for wide-angle SAR im-aging and anisotropy charac-terization, 3) sparsity-based methods for joint imaging and autofocusing from data with phase errors, 4) techniques for exploit-ing sparsity for SAR imag-ing of scenes containing moving objects, and 5) re-cent work on compressed sensing (CS)-based analysis and design of SAR sensing missions.
  download full paper

Home Back