星载GNSS-R监测海面目标技术进展  

Technical progress of satellite-borne GNSS-R monitoring sea surface targets

作　　者：胡媛[1] 顾世森 刘卫[2] 江志豪 袁鑫泰 HU Yuan;GU Shisen;LIU Wei;JIANG Zhihao;YUAN Xintai(College of Engineering,Shanghai Ocean University,Shanghai 201306,China;Merchant Marine College,Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]上海海洋大学工程学院,上海201306 [2]上海海事大学商船学院,上海201306

出　　处：《全球定位系统》2023年第1期125-132,共8页Gnss World of China

基　　金：国家自然科学基金(52071199);上海市自然科学基金(18ZR1417100,19ZR1422800)。

摘　　要：全球卫星导航系统(GNSS)因其直射信号经海面反射后,反射信号会携带海面物理信息,由此开辟了一种在遥感应用中有巨大潜力的全球卫星导航反射信号(GNSS-R)技术,国内外在星载GNSS-R监测海面领域取得进展.本文总结了应用星载GNSS-R数据监测海面目标的进展,然后针对星载GNSS-R监测海面目标技术从最初实验、基于延迟多普勒图(DDM)观测值监测、基于反演散射系数监测、应用神经网络监测四个方面进行了总结和归纳.Global Navigation Satellite System(GNSS)has opened up a GNSS-reflection(GNSS-R)technology with great potential in many other remote sensing applications because its direct signal is reflected by the sea surface. Progress has been made at home and abroad in the field of on-board GNSS-R monitoring of the sea surface. This paper summarizes the progress of monitoring sea surface targets using satellite-borne GNSS-R data. The technology of monitoring sea surface targets with satellite-borne GNSS-R is summarized and summarized from four aspects: initial experiment, monitoring based on delay Doppler map(DDM)observation value, monitoring based on inverse scattering coefficient and monitoring using neural network.

关 键 词：全球卫星导航系统(GNSS) 全球卫星导航反射信号(GNSS-R) 延迟多普勒图(DDM) 空间积分法 机器学习 

分 类 号：P237[天文地球—摄影测量与遥感]