Title :
An image restoration method for reducing the de-correlation effects in InSARad
Author :
Anyong, Hu ; Chongkan, Liu ; Jungang, Miao
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
The interferometric synthetic aperture radiometer (InSARad) is a microwave imaging instrument with the large field of view (FOV) and high spatial resolution using synthetic aperture technique. However, its performance suffers the de-correlation effects. A space variant degradation image restoration method based on coordinate transformation to alleviate the de-correlation effects is presented, and its validation is demonstrated by simulation.
Keywords :
decorrelation; image restoration; microwave imaging; radar imaging; radar interferometry; synthetic aperture radar; InSARad; coordinate transformation; decorrelation effect; interferometric synthetic aperture radiometer; microwave imaging instrument; space variant degradation image restoration; Fiber reinforced plastics; Image restoration; Virtual reality; Image Restoration; Interferometry; Synthetic Aperture Radiometer;
Conference_Titel :
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2009 3rd IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4076-4
DOI :
10.1109/MAPE.2009.5355936
