Weighted spectral correlation angle target detection method for land‑based hyperspectral imaging  

作　　者：Qianghui Wang Bing Zhou Wenshen Hua Jiaju Ying Xun Liu Yue Cheng 

机构地区：[1]Army Engineering University of PLA,Shijiazhuang 050000,China [2]Army Engineering University of PLA,Nanjing 210000,China

出　　处：《Frontiers of Optoelectronics》2023年第4期121-134,共14页光电子前沿（英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant No.62005319).

摘　　要：In land-based spectral imaging,the spectra of ground objects are inevitably afected by the imaging conditions(weather conditions,atmospheric conditions,light conditions,zenith and azimuth angle conditions)and spatial distribution of targets,leading to uncertainties featured by“same object diferent spectrum”.That is,the spectrum of a ground object may change within a certain range under diferent imaging conditions.Traditional target detection(TD)methods are mainly based on similarity measurements and do not fully account for the spectral uncertainties.These detection methods are prone to false detections or missed detections.Therefore,reducing the impact of spectral uncertainties on TD is an important research topic in hyperspectral imaging.In this paper,we frst review traditional TD methods and compare their principles and characteristics.It is found that the spectral correlation angle(SCA)method has good adaptability in land-based imaging.The shortcoming of the SCA method that it cannot refect the local spectrum characteristics,is also analyzed.As the efect of spectral uncertainties cannot be completely overcome by the SCA method,a new similarity measurement method,the weighted spectral correlation angle(WSCA)method,is proposed.It can reduce the infuence of spectral uncertainties on TD by increasing the weight of particular bands.Finally,we use two sets of experiments to analyze the efect of the WSCA method on TD.Its performance in overcoming spectral uncertainties caused by variations in imaging conditions or uneven spatial distributions of targets is tested.The results show that the WSCA method can efectively reduce the infuence of spectral uncertainties and obtain a good detection result.

关 键 词：Hyperspectral image Spectral uncertain feature Target detection Land-based imaging condition Weighted spectral correlation angle(WSCA) 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]