高光谱图像飞机目标检测研究  

Hyperspectral detection of aircraft targets

作　　者：崔震[1] 杨桄[1] 雷盼飞[1] 阮树朋[1] 

机构地区：[1]空军航空大学特种专业系,吉林长春130022

出　　处：《电子设计工程》2011年第18期174-177,共4页Electronic Design Engineering

摘　　要：笔者将经过最小噪声分离后的高光谱图像进行基于集合顶点的端元提取,并结合基于多光谱的匹配滤波法、最小能量约束法、光谱角制图法、正交子空间投影法等检测方法,对基于飞机的自动检测进行了深入地研究,并对各检测方法进行了优缺点分析。This article will go through a minimum noise separated collection of hyperspectral image based on end-vertex extraction, combined with matching based on multi-spectral filtering method, the minimum energy constraint method, spectral angle mapping method, orthogonal subspace projection, etc. detection methods, based on the automatic detection of aircraft conducted in-depth study, and the advantages and disadvantages of various detection methods for the analysis.

关 键 词：高光谱 检测 端元提取 噪声分离 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]