HURRICANE EYE EXTRACTION FROM SAR IMAGE USING SALIENCY-BASED VISUAL ATTENTION ALGORITHM

被引：0

作者：

Jin, Shaohui ^{[1
]}

Li, Xiaofeng ^{[2
]}

Wang, Shuang ^{[1
]}

机构：

[1] Xidian Univ, Minist Educ China, Key Lab Intelligent Percept & Image Understanding, Xian, Peoples R China

[2] GST NOAA NESDIS, College Pk, MD USA

来源：

2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年

基金：

中国国家自然科学基金;

关键词：

hurricane eye extraction; Synthetic Aperture Radar (SAR); saliency map;

D O I：

10.1109/IGARSS.2013.6723104

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1630 / 1633

页数：4