Title :
A multilevel extraction approach of linear objects in high resolution SAR image
Author :
Chen, Tianze ; Su, Yi
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defence Technol., Changsha
Abstract :
Extraction or recognition of linear objects in high resolution SAR images has been a focus of attention in SAR data applications. Although there are many approaches to extract straight lines, these approaches have more or less limits in their applications. In this paper, for the coarse-to-fine information integration at different scales, a multilevel extraction approach aimed at improving linear object extraction precision, robustness and computational efficiency is presented. Firstly, the effect of the image scale to linear feature extraction in SAR image is analyzed. Then, a multilevel algorithm which can extract linear feature fast and locate it accurately is presented. At last, the approach is tested by the runway extraction, and the results are analyzed.
Keywords :
feature extraction; image resolution; object recognition; radar imaging; synthetic aperture radar; SAR data applications; coarse-to-fine information integration; feature extraction; high-resolution SAR images; image scale; linear object extraction precision; linear object recognition; multilevel extraction approach; runway extraction; Additive noise; Computational efficiency; Data mining; Feature extraction; Focusing; Image analysis; Image edge detection; Image resolution; Layout; Optical noise; Center Line Expanding; Edge Detection; Edge Tracking; Feature Extraction; Multi-resolution Analysis;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697331
