Robust Autofocusing Approach for Highly Squinted SAR Imagery Using the Extended Wavenumber Algorithm
- Autor
- GANG XU1 ; MENGDAO XING1 ; LEI ZHANG1 ; ZHENG BAO1
[1] National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China - Fuente
IEEE transactions on geoscience and remote sensing. 2013, Vol 51, Num 10, pp 5031-5046, 16 p ; ref : 29 ref
- CODEN
- IGRSD2
- ISSN
- 0196-2892
- Campo Científico
- Agronomy, agriculture, phytopathology; Ecology; Geology; Geophysics; Telecommunications
- Editor
- Institute of Electrical and Electronics Engineers, New York, NY
- País de la publicación
- United States
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave de autor
- Extended wavenumber algorithm SAR SPGA highly squinted synthetic aperture radar (SAR) local maximum likelihood-weighted squinted phase gradient autofocusing (SPGA) (LML-WSPGA)
- Palabra clave (fr)
- Algorithme Correction Erreur Etude expérimentale Imagerie Maximum vraisemblance Modèle Radar ouverture synthétique Trajectoire Turbulence Télédétection Nombre onde Radar synthèse ouverture
- Palabra clave (in)
- algorithms corrections errors experimental studies imagery maximum likelihood models Synthetic aperture radar trajectory turbulence remote sensing
- Palabra clave (es)
- Algoritmo Corrección Error Imaginería Modelo Detección a distancia
- Clasificación
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics
- Disciplina
- Earth sciences
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 27783822
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.2013.2276112 
https://dx.doi.org/10.1109/TGRS.2013.2276112
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