摘要
用基于小波变换提供的新型噪声清除、多尺度边缘检测方法对位于内蒙古、辽宁、吉林三省 (区 )的科尔沁农牧交错区沙地景观空间格局遥感图象进行分析和研究 ,以掌握自然过程和人为活动的规律·实例表明 ,本文提供的自适应和多带多分辨小波变换方法得到了可行验证·据分析可知沙地农牧交错区的景观格局呈现出不规则的聚集度和不均匀性特征 ,这些特征是尺度效应的结果·这一结果为其它农牧交错区沙地的开发和利用活动提供了建设性的意见·
Based on wavelet transform, a new kind of noise elimination & edge detection method was presented and used in the analysis and studies of remote sensing images (supplied by CAS). These images are for spatial patterns of Agri Grazing Ecotone where is a typical sandy landscape in Kerqin region located in Inner Menggolia autonomous region, Liaoning and Jilin province. Our goal is to master activity law of nature and man. The adaptive and multi band multi resolution methods presented were tested correctly by examples. According to the analyses, sandy landscape of Agri Grazing Ecotone takes on new natures of irregular clustering and out balance, because of scale effect.
出处
《东北大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2001年第1期25-28,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目! (69873 0 0 7)
关键词
小波变换
图象处理
噪声消除
边缘检测
景观空间格局
沙漠化土地
WT
image fusion
noise elimination
edge detection
hydroelectric power plant
spatial patterns of landscape