激光与光电子学进展, 2018, 55 (8): 080104, 网络出版: 2018-08-13   

基于卫星遥感数据反演的光学隐蔽深度估计算法

Optical Concealment Depth Estimation Algorithm Based on Satellite Remote Sensing Data
作者单位
1 海军潜艇学院, 山东 青岛 266000
2 中国人民解放军61741部队, 北京 100094
3 中国海洋大学信息科学与工程学院, 山东 青岛 266000
摘要
为采用卫星遥感数据反演的方法获取水下潜行器的光学隐蔽深度,实现时间和空间上大范围、大尺度的测量,为水下航行器搭载的光学隐蔽深度测量装置提供新的校验途径,提出了一种基于准分析算法的光学隐蔽深度卫星反演方法。根据光学隐蔽深度模型,使用Aqua-MODIS以及Terra-MODIS卫星的日网格化遥感反射比数据,先对数据进行预处理,完成遥感反射比数据的质量控制和Aqua、Terra卫星数据的交叉校准,再根据准分析算法和Doron算法建立卫星反演光学隐蔽深度模型,制作特定海区光学隐蔽深度融合产品。在模型中输入443,488,555 nm波段的遥感反射比数据,数据等级为L3m,空间分辨率为4 km,数据的经度范围为100°E~125°E,纬度范围为10°N~38°N。结果表明:基于准分析算法的光学隐蔽深度卫星反演技术路径可行,开拓了光学隐蔽深度获取的新方式,为水下光学隐蔽深度测量装置提供了校验方法,并为水下光学隐蔽深度相关探测与反探测等**应用提供了重要的理论支撑。
Abstract
In order to obtain the optical concealment depth of underwater submersible by satellite remote sensing data inversion and realize large scale measurement in time and space, we propose an optical concealment depth remote sensing inversion method based on the quasi analytical algorithm (QAA). At the same time, it is a new way for underwater vehicle equipped with the optical concealment depth measuring device. According to the optical depth concealment model, Aqua-MODIS and Terra-MODIS satellite remote sensing reflectance data is used on the grid. After preprocessing the data, the remote sensing reflectance cross calibration data quality control is completed, and the Terra and Aqua satellite data is cross-corrected. According to quasi analytical algorithm and Doron algorithm, the optical concealment depth remote sensing inversion model is established. The optical depth concealment fusion product for specific sea area is made. Three bands remote sensing reflectance data of 443 nm, 488 nm, and 555 nm is inputted for the model. The data level is L3m, and spatial resolution is 4 km. The longitude range of data is from 100°E to 125°E, and the latitude range is from 10°N to 38°N. The results show that, based on quasi analytical algorithm, optical concealment depth remote sensing inversion technology is a feasible path. A new method to obtain optical depth concealment is developed. The method provides a calibration method for underwater vehicle equipped with the optical concealment depth measuring device, and it also provides important technical support for underwater optical depth detection and anti-detection and other military applications.
参考文献

[1] 薛宇欢, 熊学军. 中国近海海水透明度分布特征与季节变化[J]. 海洋科学进展, 2015, 33(1): 38-44.

    Xue Y H, Xiong X J. Distribution features and seasonal variability of the transparency in offshore waters of China[J]. Advances in Marine Science, 2015, 33(1): 38-44.

[2] 夏光辉, 余义德, 熊英. 一种海水透明度测量新方法的研究与实现[J]. 海洋环境科学, 2009, 28(3): 316-319.

    Xia G H, Yu Y D, Xiong Y. Study on a new method of measurement of seawater transparency[J]. Marine Environmental Science, 2009, 28(3): 316-319.

[3] 任尚书, 周树道. 四种海水透明度现场测量方法的对比分析及发展趋势研究[J]. 海洋开发与管理, 2017, 34(3): 99-104.

    Ren S S, Zhou S D. Comparison analysis and developing trend of four methods for the seawater transparency field measurement[J]. Ocean Development and Management, 2017, 34(3): 99-104.

[4] 宫建, 秦亮亮, 宋大伟. 光学仪器测量海水透明度方法研究[J]. 舰船电子工程, 2009, 29(1): 182-185.

    Gong J, Qin L L, Song D W. Research on the method of measuring the transparence in the sea using optical instrument[J]. Ship Electronic Engineering, 2009, 29(1): 182-185.

[5] 杨跃忠, 曹文熙, 孙兆华, 等. 海洋高光谱辐射实时观测系统的研制[J]. 光学学报, 2009, 29(1): 102-107.

    Yang Y Z, Cao W X, Sun Z H, et al. Development of real-time hyperspectral radiation sea-observation system[J]. Acta Optica Sinica, 2009, 29(1): 102-107.

[6] 刘金涛, 陈卫标. 星载激光对水下目标通信可行性研究[J]. 光学学报, 2006, 26(10): 1441-1446.

    Liu J T, Chen W B. Feasibility study of laser communications from satellite to submerged platform[J]. Acta Optica Sinica, 2006, 26(10): 1441-1446.

[7] 朱海荣, 朱海, 刘金涛, 等. 水下航行器光学隐蔽深度测量系统[J]. 光学 精密工程, 2015, 23(10): 2778-2784.

    Zhu H R, Zhu H, Liu J T, et al. Measurement system for optical concealment depth of underwater vehicle[J]. Optics and Precision Engineering, 2015, 23(10): 2778-2784.

[8] 朱海荣, 蔡鹏, 朱海, 等. 光学隐蔽深度测量系统的小型化设计[J]. 光学 精密工程, 2016, 24(4): 726-731.

    Zhu H R, Cai P, Zhu H, et al. Miniaturization design of optical concealment depth measuring system[J]. Optics and Precision Engineering, 2016, 24(4): 726-731.

[9] Lee Z P, CarderK L. Absorption spectrum of phytoplankton pigments derived from hyperspectral remote-sensing reflectance[J]. Remote Sensing of Environment, 2004, 89(3): 361-368.

[10] Gordon H R, Brown O B, Jacobs M M. Computed relationship between the inherent and apparent optical properties of a flat homogeneous ocean[J]. Applied Optics, 1975, 14(2): 417- 427.

[11] Lee Z P,Carder K L,Arnone R A. Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters[J]. Applied Optics, 2002, 41(27): 5755-5772.

[12] Lee Z P,Du K P,Arnone R. A model for the diffuse attenuation coefficient of downwelling irradiance[J]. Journal of Geophysical Research, 2005, 110: C02016.

[13] Lee Z P, Darecki M, Carder K L,et al. Diffuse attenuation coefficient of downwelling irradiance:an evaluation of remote sensing methods[J]. Journal of Geophysical Research, 2005, 110: C02017.

[14] Preisendorfer R W. Secchi disk science: visual optics of natural waters[J]. Limnology & Oceanography, 1986, 31(5): 909-926.

[15] Doron M, Babin M, Hembise O, et al. Ocean transparency from space: validation of algorithms estimating secchi depth using MERIS, MODIS and SeaWiFS data[J]. Remote Sensing of Environment, 2011, 115(12): 2986-3001.

朱海荣, 朱海, 蔡鹏, 李惟羽, 施英妮, 刘金涛. 基于卫星遥感数据反演的光学隐蔽深度估计算法[J]. 激光与光电子学进展, 2018, 55(8): 080104. Zhu Hairong, Zhu Hai, Cai Peng, Li Weiyu, Shi Yingni, Liu Jintao. Optical Concealment Depth Estimation Algorithm Based on Satellite Remote Sensing Data[J]. Laser & Optoelectronics Progress, 2018, 55(8): 080104.

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