Title :
Scatterometer image reconstruction from aperture-filtered samples
Author :
Williams, Brent A. ; Long, David G.
Author_Institution :
MERS Lab., Brigham Young Univ., Provo, UT, USA
Abstract :
This paper considers sampling and reconstruction theory with application to scatterometer image reconstruction. Backscatter imaging is approached as the inversion of a noisy aperture-filtered sampling operation. A reconstruction estimator based on maximum a posteriori probability (MAP) estimation is proposed to recover the conventional samples from noisy aperture-filtered samples. Examples from the SeaWinds scatterometer and the Advanced Wind Scatterometer (ASCAT) are presented.
Keywords :
backscatter; image reconstruction; maximum likelihood estimation; radar imaging; sampling methods; ASCAT; MAP estimation; SeaWinds scatterometer; advanced wind scatterometer; backscatter imaging; maximum a posteriori probability; noisy aperture-filtered sampling operation; reconstruction estimator; scatterometer image reconstruction; Apertures; Image reconstruction; Image resolution; Noise; Noise measurement; Radar measurements; Spaceborne radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5654148
