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)
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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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