Title :
Quantitative approach of speckle noise reduction on synthetic Aperture radar images
Author :
Geetha, R.Vijaya ; Kalaivani, S.
Author_Institution :
SENSE, VIT University, Vellore, Tamil Nadu
Abstract :
Over the past three to four decades the SAR-synthetic Aperture Radar imagery has become a beneficial and important application over the optical Satellite imagery, Because of its ability to operate in all-weather condition and capability of all time data acquisition; The main issue in this imaging technique is presence of grainy noise termed as ‘speckle’, Which will affect the overall quality of image, hence it is highly required to use effective speckle reduction techniques to suppress speckle. Various filtering techniques are available to reduce the speckle noise and to enhance the quality of the image. The main objective of this paper is to present a quantitative approach of de-specking algorithm on SAR images with adequate mathematical parametric analysis.
Keywords :
Adaptive filters; Filtering algorithms; Microwave filters; Signal to noise ratio; Speckle; Synthetic aperture radar; De-speckling filters; Speckle noise; Synthetic Aperture Radar (SAR) image; performance metrics;
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-3974-9
DOI :
10.1109/ICCIC.2014.7238423