Paper
28 April 2009 Minimum-entropy autofocus for three-dimensional SAR imaging
Author Affiliations +
Abstract
The image focus quality of multiple-pass 3D SAR imagery strongly depends on the accuracy of the between-pass coherent image alignment. We present a method for forming a 3D SAR image from multiple coherently aligned 2D SAR images collected at different viewing geometries, where the joint coherent alignment is performed by directly optimizing the 3D SAR image entropy. Image entropy based focusing is inherently data-adaptive and imposes only minimal assumptions about the SAR imagery such as it having a non-Gaussian distribution, as opposed to interferometric based methods which typically rely on the assumption of one or a few bright scatterers per resolution cell. We will show examples of coherently aligning and focusing 3D SAR imagery using both simulated as well as measured multiple-pass SAR imagery.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas J. Kragh "Minimum-entropy autofocus for three-dimensional SAR imaging", Proc. SPIE 7337, Algorithms for Synthetic Aperture Radar Imagery XVI, 73370B (28 April 2009); https://doi.org/10.1117/12.820195
Lens.org Logo
CITATIONS
Cited by 10 scholarly publications and 3 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Synthetic aperture radar

3D image processing

Image registration

Image filtering

Image processing

Calibration

Image quality

Back to Top