Scatterometer image reconstruction from aperture-filtered samples

This paper considers sampling and reconstruction theory with application to scatterometer image reconstruction. Backscatter imaging is approached as the inversion of a noisy aperturefiltered 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.

• Type: Journal
• Year: 2010
• Where: IGARSS
• Authors: Brent A. Williams, David G. Long
• Keywords: Advanced Wind Scatterometer, Formal Methods, IGARSS 2010, Noisy Aperture-filtered Samples, Remote Sensing, Scatterometer