Sökning: onr:"swepub:oai:DiVA.org:bth-20193" >
Change detection in...
Change detection in UWB SAR images based on robust principal component analysis
-
- Schwartz, Christofer (författare)
- Aeronautics Institute of Technology (ITA), BRA
-
- Ramos, Lucas P. (författare)
- Aeronautics Institute of Technology (ITA), BRA
-
- Duarte, Leonardo Tomazeli (författare)
- University of Campinas (UNICAMP), BRA
-
visa fler...
-
- da S. Pinho, Marcelo (författare)
- Aeronautics Institute of Technology (ITA), BRA
-
- Pettersson, Mats, 1966- (författare)
- Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap
-
- Vu, Viet Thuy (författare)
- Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap
-
- Machado, Renato (författare)
- Aeronautics Institute of Technology (ITA), BRA
-
visa färre...
-
(creator_code:org_t)
- 2020-06-13
- 2020
- Engelska.
-
Ingår i: Remote Sensing. - : MDPI AG. - 2072-4292. ; 12:12
- Relaterad länk:
-
https://doi.org/10.3...
-
visa fler...
-
https://bth.diva-por... (primary) (Raw object)
-
https://www.mdpi.com...
-
https://urn.kb.se/re...
-
https://doi.org/10.3...
-
visa färre...
Abstract
Ämnesord
Stäng
- This paper addresses the use of a data analysis tool, known as robust principal component analysis (RPCA), in the context of change detection (CD) in ultrawideband (UWB) very high-frequency (VHF) synthetic aperture radar (SAR) images. The method considers image pairs of the same scene acquired at different time instants. The CD method aims to maximize the probability of detection (PD) and minimize the false alarm rate (FAR). Such aim fits into a multiobjective optimization problem, since maximizing the probability of detection generally implies an increase in the number of false alarms. In that sense, varying the RPCA regularization parameter leads to PD variation with respect to FAR, which is known as receiver operating characteristic (ROC) curve. To evaluate the proposed method, the CARABAS-II data set was considered. The experimental results show that RPCA via principal component pursuit (PCP) can provide a good trade-off between PD and FAR. A comparison between the results obtained with the proposed method and a classical CD algorithm based on the likelihood ratio test provides the pros and cons of the proposed method. © 2020 by the authors.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Blind source separation
- CARABAS-II
- Change detection
- RPCA
- Synthetic aperture radar
- Data handling
- Economic and social effects
- Errors
- Image analysis
- Multiobjective optimization
- Radar imaging
- Ultra-wideband (UWB)
- Likelihood ratio tests
- Multi-objective optimization problem
- Number of false alarms
- Probability of detection
- Receiver operating characteristic curves
- Regularization parameters
- Robust principal component analysis
- Synthetic aperture radar (SAR) images
- Principal component analysis
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas