Username: Password:
Menu 
VPA
Computer Vision And Pattern Analysis Laboratory Home Page  Home
People  People
Publications  Publications
Publications  Databases
Contact Information  Contact
Research
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
  Recordings
Calendar
<<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:
None

Compressed Sensing of Monostatic and Multistatic SAR
Authors: Ivana Stojanovic, Müjdat Çetin, W. Clem Karl
Published in: IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 6, pp. 1444-1448, November 2013
Publication year: 2013
Abstract: In this letter, we study the impact of compressed data
collections from a synthetic aperture radar (SAR) sensor on the
reconstruction quality of a scene of interest. Different monostatic
and multistatic SAR measurement configurations produce differ-ent Fourier sampling patterns. These patterns reflect different
spectral and spatial diversity tradeoffs that must be made during
task planning. Compressed sensing theory argues that the mutual
coherence of the measurement probes is related to the reconstruc-tion performance of sparse domains. With this motivation, we
propose a closely relatedt%-average mutual coherence parameter
as a sensing configuration quality parameter and examine its
relationship to the reconstruction behavior of various monostatic
and ultranarrow-band multistatic configurations. We investigate
how this easily computed metric is related to SAR reconstruction
quality.
  download full paper
Download

Home Back