Title :
An SAR image speckle removal algorithm via image segmentation
Author :
Rattanasuwan, Poompat ; Kasetkasem, Teerasit ; Kumazawa, Itsuo ; Rakwatin, Preesan ; Chanwimaluang, Thitiporn
Author_Institution :
Dept. of Electr. Eng., Kasetsart Univ., Bangkok, Thailand
Abstract :
In this paper, we propose the speckle removal algorithm from Synthetic Aperture Radar (SAR) images via a segmentation technique based on Öztürk algorithm. The Öztürk´s algorithm is used to determine the distribution for each sample. These procedures are processed to see the relation between distribution of each pixels and segments of the image. We demonstrated the effectiveness of our algorithm by filtering speckle from an SAR image on study areas. As a result, our algorithm is able to preserve the quality of edge areas while speckle noise in homogeneous areas are suppressed.
Keywords :
filtering theory; image segmentation; radar imaging; synthetic aperture radar; Öztürk algorithm; SAR image speckle removal algorithm; filtering speckle; image segmentation; segmentation technique; speckle noise; synthetic aperture radar images; Filtering; Image edge detection; Image segmentation; Noise; Optical filters; Speckle; Synthetic aperture radar; Ozturk algorithm; SAR; segmentation;
Conference_Titel :
Information and Communication Technology for Embedded Systems (IC-ICTES), 2015 6th International Conference of
Conference_Location :
Hua-Hin
DOI :
10.1109/ICTEmSys.2015.7110829