A Particle Filter Approach for InSAR Phase Filtering and Unwrapping
- Author
- MARTINEZ-ESPLA, Juan J1 ; MARTINEZ-MARIN, Tomas1 ; LOPEZ-SANCHEZ, Juan M1
[1] Department of Physics, System Engineering Signal Theory, University of Alicante, 03080 Alicante, Spain - Source
IEEE transactions on geoscience and remote sensing. 2009, Vol 47, Num 4, pp 1197-1211, 15 p ; ref : 30 ref
- CODEN
- IGRSD2
- ISSN
- 0196-2892
- Scientific domain
- Agronomy, agriculture, phytopathology; Ecology; Geology; Geophysics; Telecommunications
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Artificial intelligence (AI) SAR interferometry extended Kalman filter (EKF) grid filter particle filter (PF) path following phase nwrapping (PU) state space
- Keyword (fr)
- Algorithme Bruit Densité Filtrage Filtre Kalman Intelligence artificielle Interférométrie Particule Radar ouverture synthétique Stratégie Traitement image Télédétection InSAR Radar antenne synthétique Radar synthèse ouverture
- Keyword (en)
- algorithms noise density filtering Kalman filters artificial intelligence interferometry particles Synthetic aperture radar strategy image processing remote sensing
- Keyword (es)
- Algoritmo Densidad Filtro Kalman Interferometría Estrategia Detección a distancia
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics
- Discipline
- Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 21743264
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1109/TGRS.2008.2008095 
https://dx.doi.org/10.1109/TGRS.2008.2008095
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