光子学报, 2016, 45 (3): 0330003, 网络出版: 2016-04-01
基于光谱区分法的高光谱核异常检测算法
Kernel Anomaly Detection Method in Hyperspectral Imagery Based on the Spectral Discrimination Method
高光谱图像 异常检测 光谱区分方法 核函数 Hyperspectral imagery Anomaly detection Spectral discrimination method Kernel function RX RX
摘要
为了解决高光谱目标检测中高斯径向基核、光谱相似度量核难以同时描述光谱曲线整体及局部特性的问题,利用光谱信息散度与梯度角正切相结合的光谱区分方法构造了一种新的核函数. 对真实机载可见红外成像光谱仪高光谱数据进行高光谱核异常检测,得到二值图及接收机操作特性曲线. 结果表明,在低虚警率下,相比于高斯径向基核、光谱相似度量核, 本文所提出核函数在高光谱核异常检测中准确度与清晰度更高.
Abstract
To solve the problem that the overall and local characteristics of the curves of spectrum are difficultly described by the Gaussian radial basis function and the spectral similarity measurement kernel simultaneously in a hyperspectral imagery detection, a novel kernel anomaly detection method in hyperspectral imagery based on the spectral discrimination method was proposed. A kernel anomaly detection in hyperspectral was conducted by real hyperspectral images collected by airborne visible infra-red imaging spectrometer. The binary graph and receiver operating characteristic curve of the anomaly detection were attained. The results show that, for a lower false alarm rate in a hyperspectral imagery detection, compared with the Gaussian radial basis function and the spectral similarity measurement kernel, the proposed kernel can detect the abnormal targets with a higher accuracy and clarity.
任晓东, 雷武虎. 基于光谱区分法的高光谱核异常检测算法[J]. 光子学报, 2016, 45(3): 0330003. REN Xiao-dong, LEI Wu-hu. Kernel Anomaly Detection Method in Hyperspectral Imagery Based on the Spectral Discrimination Method[J]. ACTA PHOTONICA SINICA, 2016, 45(3): 0330003.