Hurricane eye extraction from SAR image using saliency-based visual attention algorithm

Author

Shaohui Jin ; Xiaofeng Li ; Shuang Wang

Author_Institution

Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xian, China

fYear

2013

fDate

21-26 July 2013

Firstpage

1630

Lastpage

1633

Abstract

Automatic hurricane information extraction in synthetic aperture radar (SAR) images has been a research topic in development. In this study, using saliency-based visual attention model, we developed an image processing procedure to extract hurricane eyes from SAR images. Experiment results show that hurricane eyes can be well extracted even when it is not visually obvious in images.

Keywords

atmospheric techniques; feature extraction; geophysical image processing; radar imaging; remote sensing by radar; storms; synthetic aperture radar; SAR image; automatic hurricane information extraction; hurricane eye extraction; image processing procedure; saliency-based visual attention algorithm; saliency-based visual attention model; synthetic aperture radar; Feature extraction; Hurricanes; Noise; Sea surface; Spaceborne radar; Synthetic aperture radar; Visualization; Synthetic Aperture Radar (SAR); hurricane eye extraction; saliency map;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723104

Filename

6723104