中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A HSV-Based Fusion of InIRA SAR and GoogleEarth Optical Images

文献类型:会议论文

作者Li, Dong; Zhang, Yunhua; Dong, Xiao; Shi, Xiaojin; Zhai, Wenshuai
出版日期2018
会议日期NOV 06-09, 2018
会议地点Kyoto, JAPAN
关键词Hsv Image Entropy Image Fusion Synthetic Aperture Radar Optical Sensor
页码848-850
英文摘要

Interferometric Imaging Radar Altimeter (InIRA) on board Chinese TG-2 space laboratory is dedicated to enable a wide-swath measure of the sea surface height by interferometric processing synthetic aperture radar (SAR) images. In this paper, a simple fusion algorithm is developed for InIRA SAR image and GoogleEarth optical image based on hue-saturation-value (HSV) color model. While the H and S components of optical image are reserved for the fusion, the V component of the fusion image is a weighted linear combination of SAR image and the V component of optical image, with the image entropy as weight. Experimental results exhibit not only the nice performance of the fusion scheme but also the potential of InIRA in inland water observation.

会议录2018 ASIA-PACIFIC MICROWAVE CONFERENCE PROCEEDINGS (APMC)
ISBN号978-4-9023-3945-1
源URL[http://ir.nssc.ac.cn/handle/122/6928]  
专题国家空间科学中心_微波遥感部
推荐引用方式
GB/T 7714
Li, Dong,Zhang, Yunhua,Dong, Xiao,et al. A HSV-Based Fusion of InIRA SAR and GoogleEarth Optical Images[C]. 见:. Kyoto, JAPAN. NOV 06-09, 2018.

入库方式: OAI收割

来源:国家空间科学中心

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