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极化SAR图像地物分类方法综述

魏丹¹, 李渊¹, 黄丹²

(1.河南大学计算机与信息工程学院, 开封 475004;2.河南大学实验室与设备管理处, 开封 475004)

Overview on Methods of Land Classification Based on Polarimetric SAR Images

WEI Dan¹, LI Yuan¹, HUANG Dan²

(1.School of Computer and Information Engineering, Henan University, Kaifeng 475004, China;2.Dvision of Laboratory and Equipment Management, Henan University, Kaifeng 475004, China)

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本文已被：浏览 1217次下载 2627次
Received:May 01, 2020 Revised:May 27, 2020

中文摘要: 极化合成孔径雷达(Polarimetric Synthetic Aperture Radar, PolSAR)是一种微波成像雷达, 它不受天气、光线以及云层的影响, 能够实现全天时、全天候的成像. 因此, 极化SAR图像已经成为遥感图像地物分类的主要数据源之一. 本文从技术方法的角度出发, 论述了近年来国内外极化SAR图像地物分类的方法及应用, 从技术原理、实验效果等方面进行介绍, 并对极化SAR图像地物分类的发展趋势进行分析.

中文关键词: 极化合成孔径雷达遥感地物分类发展趋势

Abstract:Polarimetric Synthetic Aperture Radar (PolSAR) is a type of microwave imaging radar that avoids the influence of weather, light and clouds, and it has the capability of all-day and all-weather imaging. Therefore, PolSAR images have become one of the main data sources for land classification based on remote sensing image. From the perspective of technical methods, this paper discusses the methods and applications of land classification based on PolSAR image in recent years. It introduces the technical methods and experimental effects, and analyzes the development trend of land classification based on PolSAR image.

keywords: polarimetric SAR remote sensing land classification development trend

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基金项目:国家自然科学基金(U1604145, 61871175); 河南省高等学校重点科研项目(19A420005); 河南省科技攻关计划(182102210233, 192102210082); 河南省青年人才托举工程(2019HYTP006)

Author Name	Affiliation	E-mail
WEI Dan	School of Computer and Information Engineering, Henan University, Kaifeng 475004, China
LI Yuan	School of Computer and Information Engineering, Henan University, Kaifeng 475004, China
HUANG Dan	Dvision of Laboratory and Equipment Management, Henan University, Kaifeng 475004, China	huang_dan@henu.edu.cn

Author Name	Affiliation	E-mail
WEI Dan	School of Computer and Information Engineering, Henan University, Kaifeng 475004, China
LI Yuan	School of Computer and Information Engineering, Henan University, Kaifeng 475004, China
HUANG Dan	Dvision of Laboratory and Equipment Management, Henan University, Kaifeng 475004, China	huang_dan@henu.edu.cn

引用文本：
魏丹,李渊,黄丹.极化SAR图像地物分类方法综述.计算机系统应用,2020,29(11):29-39
WEI Dan,LI Yuan,HUANG Dan.Overview on Methods of Land Classification Based on Polarimetric SAR Images.COMPUTER SYSTEMS APPLICATIONS,2020,29(11):29-39