| ICESat-2激光卫星与光学遥感影像融合水深测量 |
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| 引用本文： | 曹彬才,方勇,江振治,高力,胡海彦.ICESat-2激光卫星与光学遥感影像融合水深测量[J].海洋测绘,2020,40(5):21-25. |
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| 作者姓名： | 曹彬才 方勇 江振治 高力 胡海彦 |
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| 作者单位： | 地理信息工程国家重点实验室,陕西西安710054;西安测绘研究所,陕西西安710054;地理信息工程国家重点实验室,陕西西安710054;西安测绘研究所,陕西西安710054;地理信息工程国家重点实验室,陕西西安710054;西安测绘研究所,陕西西安710054;地理信息工程国家重点实验室,陕西西安710054;西安测绘研究所,陕西西安710054;地理信息工程国家重点实验室,陕西西安710054;西安测绘研究所,陕西西安710054 |
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| 基金项目： | 航天系统部预研项目(105020303HT01)；国家重点研发计划(2016YFC1400904) |
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| 摘 要： | 针对浅海测深的数据特点和应用需求,以我国南海甘泉岛为例,研究了利用ICESat-2(Ice,Cloud,and Land Elevation Satellite-2)激光卫星数据和光学遥感影像开展主被动融合水深测量的方法。首先通过信号点提取、水面/水底识别、水下点折射改正等步骤处理ICESat-2数据,获得水深值,随后以激光点作为控制,计算光学水深反演模型参数,最后由点及面地获取大范围高精度水深。实验表明,甘泉岛区域主被动融合测深中误差优于1.30m,基于激光卫星数据的主被动融合测深方法能够为浅水水深测量提供新手段。
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| 关 键 词： | 浅水测深 激光测高卫星 单光子激光雷达 光学影像 主被动融合 |
Water Depth Measurement from the Fusion of ICESat-2 Laser Satellite and Optical Remote Sensing Image |
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| CAO Bincai,FANG Yong,JIANG Zhenzhi,GAO Li,HU Haiyan.Water Depth Measurement from the Fusion of ICESat-2 Laser Satellite and Optical Remote Sensing Image[J].Hydrographic Surveying and Charting,2020,40(5):21-25. |
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| Authors: | CAO Bincai FANG Yong JIANG Zhenzhi GAO Li HU Haiyan |
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| Abstract: | According to the data characteristics and application requirements of shallow water bathymetry,taking Ganquan Island in the South China Sea as an example,the method of active-passive fusion bathymetry using ICESat-2 (ice,cloud,and land elevation satellite-2) laser satellite data and optical remote sensing image is studied.Firstly,ICESat-2 data is processed by signal point extraction,water surface/bottom identification,underwater point refraction correction and other steps to obtain the water depth value.Then,the laser points are used as the control to calculate the parameters of optical depth inversion model.Finally,a large range of high-precision water depth is obtained from this inversion model.The experiment shows that the root mean square error (RMSE) of active-passive fusion in Ganquan Island is better than 1.30m.The active-passive fusion method proposed in this paper can provide a new way for shallow water bathymetry. |
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