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IEEE 2014 JAVA IMAGE PROCESSING PROJECTS Optimum signal processing for multichannel sar with application to high resolution wide-swath imaging
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Optimum Signal Processing for Multichannel SAR: With
Application to High-Resolution Wide-Swath Imaging
Abstract:
A new method for processing multichannel synthetic aperture radar (SAR)
data to achieve desirable image characteristics is presented. The method is optimal
because it is derived by minimizing a mean-square-error cost function and
generalizes current methods for high-resolution wide-swath SAR signal
processing. The proposed method is easily implementable, can support a wide
range in the pulse repetition frequency (PRF), including cases with highly
nonuniform spatial sampling, and is robust against PRFs where current projection
techniques fail, cases where the PRF is ideally suited to clutter suppression. Point
spread functions for the proposed algorithms are presented, and the theory and
simulations are further corroborated by results using multichannel SAR data
measured by RADARSAT-2. We demonstrate that, if RADARSAT-2 were able to
illuminate a 250-km swath (300 km ground range), then, conceptually, the new
method would be able to process the highly no uniformly sampled data to provide
an extremely wide mode at approximately 5-m azimuth resolution.
2.
3. Existing System:
๏ Point spread functions algorithms are presented, and the theory and
simulations are further corroborated by results using multichannel SAR data
measured by RADARSAT-2.
๏ The RADARSAT-2 technology we used here is able to illuminate a 250-km
swath.
Proposed System:
๏ The method is made optimal because it is derived by minimizing a mean-square-
error cost function and generalizes current methods for high-resolution
wide-swath SAR signal processing.
๏ It is easily implementable, cansupport a wide range in the pulse repetition
frequency (PRF),including cases with highly nonuniform spatial
sampling,and robust against PRF.
๏ The theory and simulation are further corroborated by results using
multichannel SAR data measured by RADARSAT-2.
4. Software Requirements:
Platform : JAVA(JDK 1.6)
Front End : JAVA Swing
Back End : MySQL
IDE : Net Beans 6.9
Operating System : Microsoft Windows XP
Hardware Requirements:
Processor : Pentium IV Processor
RAM : 512 MB
Hard Disk : 10GB
Monitor : 14โ VGA COLOR MONITOR