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A bound for super-resolution power of compressive sensing imaging systems

Bamler, Richard and Zhu, Xiao Xiang (2011) A bound for super-resolution power of compressive sensing imaging systems. SIAM conference on optimization 2011, 16-19 May 2011, Darmstadt, Germany.

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Official URL: http://www.siam.org/meetings/op11/op11abstracts.pdf

Abstract

Compressive Sensing (CS) has proven a robust and high resolution method for Synthetic Aperture Radar Tomography (TomoSAR) from space. For the typical satellite orbit configurations, resolution is a crucial aspect. This paper quantifies the super-resolution power of CS, i.e. the minimum separable distance between two point scatterers, as a function of SNR, number of measurements N, and amplitude ratio of the scatterers for the typical low SNR and low N cases of TomoSAR.

Document Type:Conference or Workshop Item (Speech)
Title:A bound for super-resolution power of compressive sensing imaging systems
Authors:
AuthorsInstitution or Email of Authors
Bamler, RichardDLR,TUM
Zhu, Xiao XiangDLR,TUM
Date:May 2011
Refereed publication:No
In ISI Web of Science:No
Status:Published
Keywords: Super-Resolution, compressive sensing, lower bound
Event Title:SIAM conference on optimization 2011
Event Location:Darmstadt, Germany
Event Type:international Conference
Event Dates:16-19 May 2011
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Yuanyuan Wang
Deposited On:07 Sep 2011 15:18
Last Modified:17 Jul 2013 09:25

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