Parameter feature extraction for hyperspectral detection of the shallow underwater target  

作　　者：XIA Zhi GU YanFeng 

机构地区：[1]Acoustic Science and Technology Laboratory,Harbin Engineering University,Harbin 150001,China [2]College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,China [3]School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China

出　　处：《Science China(Technological Sciences)》2021年第5期1092-1100,共9页中国科学（技术科学英文版）

基　　金：supported by the National Natural Science Foundation of Key International Cooperation of China (Grant No.61720106002);the National Key R&D Program of China (Grant No.2017YFC1405100)。

摘　　要：For the detection of shallow underwater targets by the hyperspectrum, the information of the target is carried in the water-leaving radiation. However, the differences between the water-leaving radiation of the underwater target and the ocean background radiation are not significant, and the spectrum of the water-leaving radiation is sensitive to the changes of the marine environment. Therefore, taking the spectrum as the feature is not stable for hyperspectral detection of the underwater target. In this paper, we propose a parameter feature extraction method for hyperspectral detection of the shallow underwater target. The presence of an underwater target would change the optical properties of seawater in a local place. Based on that, a quasianalytical model of the water-leaving radiation is adopted to inverse the properties of the marine environment from the radiated spectrum. Then the inversed water depth and bottom reference reflectance are taken as the features. Simulation results show that the samples which belong to the water-leaving radiation of underwater target have higher inversed depth and reference reflectance than that belong to the ocean background radiation. Furthermore, these two kinds of samples can be separated significantly and stably in a 2-dimension feature space.

关 键 词：hyperspectral imaging underwater technology feature extraction 

分 类 号：O657.3[理学—分析化学] E91[理学—化学]