A Robust Motion Compensation Approach for UAV SAR Imagery
- Author
- LEI ZHANG1 ; ZHIJUN QIAO2 ; XING, Meng-Dao1 ; LEI YANG1 ; ZHENG BAO1
[1] National Key Lab for Radar Signal Processing, Xidian University, Xi'an 710071, China
[2] Department of Mathematics, University of Texas-Pan American, Edinburg, TX 78539-2999, United States - Source
IEEE transactions on geoscience and remote sensing. 2012, Vol 50, Num 8, pp 3202-3218, 17 p ; ref : 40 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
- Local maximum-likelihood (LML) motion compensation (MOCO) phase gradient autofocus (PGA) synthetic aperture radar (SAR) unmanned aerial vehicle (UAV) weighted phase gradient autofocus (WPGA)
- Keyword (fr)
- Actuel Algorithme Erreur Etude expérimentale Imagerie Maximum vraisemblance Migration Navigation Précision Radar ouverture synthétique Trajectoire Turbulence Télédétection
- Keyword (en)
- modern algorithms errors experimental studies imagery maximum likelihood migration navigation accuracy Synthetic aperture radar trajectory turbulence remote sensing
- Keyword (es)
- Actual Algoritmo Error Imaginería Migración Precisión 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
- 26186094
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.2011.2180392 
https://dx.doi.org/10.1109/TGRS.2011.2180392
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