火力与指挥控制2017，Vol.42Issue(6)：22-27,6.DOI:10.3969/j.issn.1002-0640.2017.06.006
一种定标缺失情况下的高光谱目标识别方法
A Hyperspectral Target Recognition Method without Calibration Information
摘要
Abstract
Hyperspectral remote sensing image has been widely used in civil and military applications. Due to the lack of calibration information and atmospheric optical parameters,no systematic and effective method has been specifically developed for hyperspectral targets recognition, which has restricted its application in quantitative remote sensing. A method using particle swarm optimization to choose the parameters in 6S model is proposed,and is applied to hyperspectral target recognition. Simulations show that:without calibration information and atmospheric optical parameters, this method can be used to inverse the reflectance of hyperspectral images. Compared with the empirical method,the classification accuracy based on 6S model with particle swarm optimization algorithm for parameter optimization has been effectively improved from 76.25%to 91.58%.关键词
粒子群优化/6S模型/大气校正/查找表/高光谱遥感Key words
Particle Swarm Optimization (PSO)/6S model/atmospheric correction/Look-Up Table (LUT)/remote sensing分类
信息技术与安全科学引用本文复制引用
罗素群,郭宝峰,沈宏海,杨名宇..一种定标缺失情况下的高光谱目标识别方法[J].火力与指挥控制,2017,42(6):22-27,6.基金项目
国家自然科学基金(61375011) （61375011）
浙江省自然科学基金资助项目(LY13F030015) （LY13F030015）
