DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Implementation of Compressed Sensing algorithms in Python

Antonello, Arthur (2011) Implementation of Compressed Sensing algorithms in Python. Diploma, Instituto Tecnologico de Aeronautica, Engenharia Eletronica.

[img] PDF - Only accessible within DLR


Compressed Sensing (CS) is an emerging sampling paradigm that has recently proved to be an effective approach to polarimetric SAR tomography. This work focuses on the practical implementation of CS reconstruction algorithms via convex optimization. Specifically, we used the Python programming language and implemented a second order cone program (SOCP) that deals with multiple looks as well as multiple polarizations simultaneously. Also, special consideration was given to handling complex data appropriately. Finally, the methods will be validated by using airborne data acquired by the E-SAR sensor of DLR.

Item URL in elib:https://elib.dlr.de/72408/
Document Type:Thesis (Diploma)
Additional Information:Tutors: Pau Prats, Matteo Nannini
Title:Implementation of Compressed Sensing algorithms in Python
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Antonello, ArthurInstituto Tecnologico de Aeronautica, Engenharia Eletronica, BrazilUNSPECIFIEDUNSPECIFIED
Date:December 2011
Refereed publication:Yes
Open Access:No
Number of Pages:90
Keywords:SAR tomography, Compressed sensing, Python
Institution:Instituto Tecnologico de Aeronautica, Engenharia Eletronica
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Flugzeug-SAR (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Nannini, Matteo
Deposited On:06 Dec 2011 15:29
Last Modified:06 Mar 2014 14:24

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.