Title :
Multi-temporal superpixel generation for high resolution SAR image analysis
Author :
Hao Hu ; Bin Liu ; Zenghui Zhang ; Xingzhao Liu ; Wenxian Yu
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
In this paper, a multi-temporal (MT) superpixel generation method is proposed. MT superpixels are generated based on a novel edge extraction method designed for high resolution (HR) synthetic aperture radar (SAR) images and using MT spatial information in an optimization way. Numerical evaluation and comparison on simulated and real data sets demonstrate its availability for MT HR SAR image analysis.
Keywords :
feature extraction; geophysical image processing; geophysical techniques; radar imaging; remote sensing by radar; synthetic aperture radar; MT HR SAR image analysis; SAR image analysis; multitemporal spatial information; multitemporal superpixel generation method; novel edge extraction method; synthetic aperture radar; Data mining; Estimation; Image analysis; Image edge detection; Spatial resolution; Synthetic aperture radar; Multi-temporal (MT); high resolution (HR); superpixel; synthetic aperture radar (SAR);
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946774
