计算机与数字工程2017，Vol.45Issue(12)：2489-2493,2529,6.DOI:10.3969/j.issn.1672-9722.2017.12.035
基于流形学习的SAR图像目标分类
Manifold Learning-based SAR Image Target Classification
摘要
Abstract
A manifold learning-based approach is proposed for dimension reduction and target classification of SAR image. This approach includes three steps:1)Extracting high-dimensional feature vector of SAR image target;2)Manifold learn?ing-based innate character extracting from the high-dimensional feature vector;3)Target classification using the innate character. The experimental result indicates that the proposed approach obtain relatively high accuracy of target classification in the case of us?ing low-dimensional feature compared to the high-dimensional feature vector,which proves the effectiveness of the proposed ap?proach.关键词
流形学习/目标分类/SAR图像/特征提取Key words
manifold learning/target classification/SAR image/feature extraction分类
信息技术与安全科学引用本文复制引用
彭易锦..基于流形学习的SAR图像目标分类[J].计算机与数字工程,2017,45(12):2489-2493,2529,6.基金项目
国家自然科学基金项目(编号:61501178)资助. （编号:61501178）
