文档介绍：遥感应用遥感信息

基于雷达后向散射特性进行湿地植被
识别与分类的方法研究
王安琪,周德民,宫辉力
首都师范大学资源环境与旅游学院北京
( , 100048)
摘要选择东北地区典型内陆沼泽湿地三江平原洪河自然保护区作为研究区结合的极化特性分
: ———, SAR ,
析了多时相不同极化下洪河湿地保护区不同地物植被类型的散射特性利用长波波段
ENVISAT ASAR , L PAL-
数据对植被的可穿透性及水分的敏感性结合与光学影像融合后进行神经元网络分类的方法应用决策
SAR , TM ,
树方法进行了多波段多时相合成湿地植被识别试验本文将两种方法相结合分两步完整识别出沼泽灌
、 SAR 。, 、
丛、岛状林、草甸、开阔水体及少量农田。
关键词湿地后向散射系数决策树影像融合
: ;SAR; ; ;
doi:.1000-
中图分类号文献标识码文章编号
:TP79 :A :1000-3177(2012)120-0015-05
A Research on Method of Wetland Vegetation Identification and
Classification Based on Radar Backscatter Characteristics
WANG An-qi,ZHOU De-min,GONG Hui-li
(College of Resource Environment and Tourism,Capital Normal University,Beijing100048)
Abstract:This paper selected typical northeast inland wetlands-Honghe nature reserve in Sanjiang Plain as the study area,
and utilized the different vegetation backscatter characteristics of multi-temporal,multi-polarization of ASAR and the vegetation
rability of PALSAR to identify marsh,bush,forest,grass,open water and farm land bining the decision tree method
and work method after fusing TM and PALSAR can be seen that the radar system has ability of detecting
hydrology,vegetation type and soil moisture information,connecting with the“wetness”information of wetland,and is a reliable
data resource of wetland study.
Key words:wetland