Inversion Algorithms and PS Detection in SAR Tomography, Case Study of Bucharest City

Synthetic Aperture Radar (SAR) tomography can reconstruct the elevation profile of each pixel based on a set of co-registered complex images of a scene. Its main advantage over classical interferometric methods consists in the capability to improve the detection of single persistent scatterers as we...

Full description

Bibliographic Details
Main Authors: C. Dănişor, G. Fornaro, M. Datcu
Format: Article
Language:English
Published: Telecommunications Society, Academic Mind 2016-06-01
Series:Telfor Journal
Subjects:
Online Access: http://journal.telfor.rs/Published/Vol8No1/Vol8No1_A4.pdf
id doaj-7ca0dc9e79b6463c9055b8bc901f31bf
record_format Article
spelling doaj-7ca0dc9e79b6463c9055b8bc901f31bf2020-11-24T21:51:57ZengTelecommunications Society, Academic MindTelfor Journal1821-32512016-06-0181202510.5937/telfor1601020DInversion Algorithms and PS Detection in SAR Tomography, Case Study of Bucharest CityC. DănişorG. FornaroM. DatcuSynthetic Aperture Radar (SAR) tomography can reconstruct the elevation profile of each pixel based on a set of co-registered complex images of a scene. Its main advantage over classical interferometric methods consists in the capability to improve the detection of single persistent scatterers as well as to enable the detection of multiple scatterers interfering within the same pixel. In this paper, three tomographic algorithms are compared and applied to a dataset of 32 images to generate the elevation map of dominant scatterers from a scene. Targets which present stable proprieties over time - Persistent Scatterers (PS) are then detected based on reflectivity functions reconstructed with Capon filtering. http://journal.telfor.rs/Published/Vol8No1/Vol8No1_A4.pdf Beam-formingCapon filteringLeast-Squares optimizationPS detectionSAR tomography
collection DOAJ
language English
format Article
sources DOAJ
author C. Dănişor
G. Fornaro
M. Datcu
spellingShingle C. Dănişor
G. Fornaro
M. Datcu
Inversion Algorithms and PS Detection in SAR Tomography, Case Study of Bucharest City
Telfor Journal
Beam-forming
Capon filtering
Least-Squares optimization
PS detection
SAR tomography
author_facet C. Dănişor
G. Fornaro
M. Datcu
author_sort C. Dănişor
title Inversion Algorithms and PS Detection in SAR Tomography, Case Study of Bucharest City
title_short Inversion Algorithms and PS Detection in SAR Tomography, Case Study of Bucharest City
title_full Inversion Algorithms and PS Detection in SAR Tomography, Case Study of Bucharest City
title_fullStr Inversion Algorithms and PS Detection in SAR Tomography, Case Study of Bucharest City
title_full_unstemmed Inversion Algorithms and PS Detection in SAR Tomography, Case Study of Bucharest City
title_sort inversion algorithms and ps detection in sar tomography, case study of bucharest city
publisher Telecommunications Society, Academic Mind
series Telfor Journal
issn 1821-3251
publishDate 2016-06-01
description Synthetic Aperture Radar (SAR) tomography can reconstruct the elevation profile of each pixel based on a set of co-registered complex images of a scene. Its main advantage over classical interferometric methods consists in the capability to improve the detection of single persistent scatterers as well as to enable the detection of multiple scatterers interfering within the same pixel. In this paper, three tomographic algorithms are compared and applied to a dataset of 32 images to generate the elevation map of dominant scatterers from a scene. Targets which present stable proprieties over time - Persistent Scatterers (PS) are then detected based on reflectivity functions reconstructed with Capon filtering.
topic Beam-forming
Capon filtering
Least-Squares optimization
PS detection
SAR tomography
url http://journal.telfor.rs/Published/Vol8No1/Vol8No1_A4.pdf
work_keys_str_mv AT cdanisor inversionalgorithmsandpsdetectioninsartomographycasestudyofbucharestcity
AT gfornaro inversionalgorithmsandpsdetectioninsartomographycasestudyofbucharestcity
AT mdatcu inversionalgorithmsandpsdetectioninsartomographycasestudyofbucharestcity
_version_ 1725877675846795264