Title :
Three-dimensional surface reconstruction from multistatic SAR images
Author :
Rigling, Brian D. ; Moses, Randolph L.
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Abstract :
This paper discusses reconstruction of three-dimensional surfaces from multiple bistatic synthetic aperture radar (SAR) images. Techniques for surface reconstruction from multiple monostatic SAR images already exist, including interferometric processing and stereo SAR. We generalize these methods to obtain algorithms for bistatic interferometric SAR and bistatic stereo SAR. We also propose a framework for predicting the performance of our multistatic stereo SAR algorithm, and, from this framework, we suggest a metric for use in planning strategic deployment of multistatic assets.
Keywords :
image reconstruction; radar imaging; synthetic aperture radar; bistatic stereo SAR; interferometric processing; multiple bistatic synthetic aperture radar images; multiple monostatic SAR images; multistatic SAR images; three-dimensional surface reconstruction; Image reconstruction; Layout; Satellite broadcasting; Stereo image processing; Strategic planning; Surface reconstruction; Surface topography; Synthetic aperture radar; Transmitters; Unmanned aerial vehicles; Bistatic; ground map; surface reconstruction; synthetic aperture radar (SAR); three-dimensional (3-D); Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Pattern Recognition, Automated; Radar; Subtraction Technique;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2005.851690