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

Cinderella: Method Generalisation of the Elimination Process to Filter Repeating Patterns

Ulmer, Franz-Georg (2015) Cinderella: Method Generalisation of the Elimination Process to Filter Repeating Patterns. In: 2015 IEEE International Conference on Digital Signal Processing (DSP), pp. 1001-1005. IEEE Xplore. IEEE International Conference on Digital Signal Processing 2015, 21-24 July 2015, Singapore. DOI: 10.1109/ICDSP.2015.7252028

[img] PDF
1MB

Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&tp=&arnumber=7252028&queryText%3Dinstitute+affiliations%3A

Abstract

Synthetic aperture radar is a popular remote sensing technique to observe the topography of the earth by producing interferograms. After initial corrections, there remains a mixture of different disturbances visible in them. Therefore, an estimation is necessary to distinguish between patterns caused by different sources. Commonly, this is achieved by using Persistent Scatterer Interferometry (PSI) or Small BAseline Subset Algorithm (SBAS) which both utilise large stacks of temporally connected interferograms of the same area. The objective of this paper is to introduce a new technique that can also handle small stacks and temporally unconnected subsets, and does not use the isotropy assumption. The introduced estimation technique, called Cinderella, is related to the elimination process and therefore belongs to the Bionic research area. The proposed technique works as follows. First, the initial images are transferred into the dual tree complex wavelet domain. Second, the Cinderella technique is applied for each complex coefficient and estimates a percentage affiliation of the corresponding wavelet to different causes. Third, the Tikhonov regularisation uses this estimate and provides the resulting assignment. Finally, the synthesis of the dual tree complex domains provides the images of all estimated signals. Verification is achieved by simulating random patterns, mixing them, applying the proposed technique, and comparing the estimates with the initial simulations. In doing so, only six interferograms were required to provide an estimation with a standard deviation below 1 mm.

Item URL in elib:https://elib.dlr.de/98257/
Document Type:Conference or Workshop Item (Speech)
Title:Cinderella: Method Generalisation of the Elimination Process to Filter Repeating Patterns
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Ulmer, Franz-Georgfranz-georg.ulmer (at) dlr.deUNSPECIFIED
Date:2015
Journal or Publication Title:2015 IEEE International Conference on Digital Signal Processing (DSP)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/ICDSP.2015.7252028
Page Range:pp. 1001-1005
Publisher:IEEE Xplore
Status:Published
Keywords:process of exclusion; Tikhonov regularisation; InSAR; atmospheric phase screen; Bionic
Event Title:IEEE International Conference on Digital Signal Processing 2015
Event Location:Singapore
Event Type:international Conference
Event Dates:21-24 July 2015
Organizer:IEEE Org.
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: Ulmer, Franz-Georg
Deposited On:01 Oct 2015 11:11
Last Modified:31 Jul 2019 19:55

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.