Title :
Re-imaging of SAR image via the underlying information
Author :
Lu, Xin ; Liu, Mengling ; Shuai, Yongmin ; Chen, Rong ; Yin, Hui ; Sun, Hong
Author_Institution :
Signal Process. Lab., Wuhan Univ., Wuhan, China
Abstract :
SAR image is hard to be interpreted by users compared with optical remote sensing image. And current automatic SAR image interpretation cannot meet the requirement of practical application. In order to overcome this problem to some extent, this article presents a new SAR image representation method called "SAR image re-imaging". This second imaging SAR image is composed from the underlying information extracted or learned from the original SAR image and is displayed in the YCbCr color space. Experimental results demonstrate that our re-imaging SAR images are more readable and more intelligible.
Keywords :
feature extraction; geophysical image processing; image colour analysis; image representation; radar imaging; remote sensing; synthetic aperture radar; SAR image reimaging; SAR image representation method; YCbCr cannot color space; extracted information; optical remote sensing image; Feature extraction; Image color analysis; Joints; Optical sensors; Radar imaging; Synthetic aperture radar; Joint boost; PolInSAR; re-imaging; synthetic aperture radar image;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049212