Paper Info
Title
Navigation and SAR auto-focusing based on the phase gradient approach
Abstract
Synthetic Aperture Radar (SAR) equipment is an all-weather radar imaging system that can be used to create high resolution images of the scene by utilising the movement of the flying platform. It is therefore essential to accurately estimate the platform's trajectory in order to get good and focused images. Recently, both real time applications and smaller and cheaper platforms have been considered. This, in turn, leads to unfocused images since cheaper platforms, in general, have navigation systems with poorer performance. At the same time the radar data contain information about the platform's motion that can be used to estimate the trajectory and get more focused images. Here, a method of utilising the phase gradient of the SAR data in a sensor fusion framework is presented. The method is illustrated on a simulated example with promising results. At the end a discussion about the obtained results and future work is covered.
Year
Venue
Keywords
2011
Information Fusion
gradient methods,image resolution,meteorological radar,radar imaging,sensor fusion,synthetic aperture radar,SAR auto-focusing,all-weather radar imaging system,flying platform,high resolution images,phase gradient approach,sensor fusion framework,synthetic aperture radar,Extended Kalman filtering,Synthetic Aperture Radar,auto-focusing,navigation,phase gradient
Field
DocType
ISBN
Radar,Signal processing,Computer vision,Radar imaging,Synthetic aperture radar,Computer science,Sensor fusion,Artificial intelligence,Image resolution,Trajectory
Conference
978-1-4577-0267-9
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Zoran Sjanic162.26
Fredrik Gustafsson22287281.33