Integrated UAVSAR simulator and processor software (iSARX)


Lim, T. S. and Koo, V. C. and Lim, C. S. (2011) Integrated UAVSAR simulator and processor software (iSARX). Progress In Electromagnetics Research Symposium 2011 (PIERS 2011). pp. 1232-1235. ISSN 1559-9450

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Synthetic aperture radar (SAR) has been recognized as an essential component of future surveillance systems. One of the major challenges associated with SAR is image formation process. The generation of a two-dimensional image out of the SAR raw data is a computational intensive task. SAR sensors produce gigabytes of raw data that have to be processed into SAR image, thus the selection of the right SAR image algorithm for a particular system is very impor- tant to ensure time and cost efficiency without compromising the accuracy of the image. This is a time-consuming task without a reconfigurable and comprehensive software package. Thus, a new unmanned aerial vehicle (UAV) based SAR integrated simulator and processor software, called iSARX, is developed to aid the system designers in optimizing all the system parameters and performance. The iSARX is developed using Matlab platform, which is capable to perform mission planning, terrain modeling, autofocus and image processing algorithms evaluations as well as for understanding of SAR processes. Various plots are available for image quality analysis in iSARX software package. The design of iSARX is based on modular simulation and processing platform, which consists of various independent modules that share a pool of data files. Each module may be developed and executed separately, depending on individual applications. The data format of iSARX is a simplified version of the CEOS (Committee of Earth Observations Satellites) standard on SAR data set. The SAR data records will use the same data format for all SAR product types in iSARX. By having common formats, users from various working groups would be able to analyze and merge data from multiple resources. In the iSARX performance evaluation, simulated and actual SAR raw data were used for further analysis.

Item Type: Article
Additional Information: Proceedings of PIERS 2011 in Suzhou, September 12-16, 2011
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 17 Dec 2013 09:33
Last Modified: 17 Dec 2013 09:33


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