摘要
采用多重分形谱对喜马拉雅山山脉地貌特征进行分析,多重分形谱参数分层次地刻画了空间内部的精细结构,突出了异常局部变化特征,因此能够准确获取地貌特征信息;在此将美宇航局最近拍摄的一张被积雪覆盖的喜马拉雅山卫星照片图像进行处理,通过计算多重分形谱,提取了山脉分布的特征参数,在喜马拉雅山山脉具体分布以及探究地球面貌中产生积极意义。
The natural muhi-fractal spectrum was computed and analyzed with the muhi-fractal method. The parameters of muhi-fractal spectrum were used to describe hierarchically refined structure of terrain and highlight the singularity characters of local area. Thus, the exact characterization of trrain surfaces is obtained. Combined with image processing and analysis technology, the satellite photo of the snow-covered Himalayas collected by NASA was processed. And by computing the muhifractal spectrum, two characteristic parameters of Himalaya Mountains are extracted. The method benefits specific distribution of the Himalayan Mountains and explores the face of the earth.
出处
《重庆工商大学学报(自然科学版)》
2011年第1期86-89,共4页
Journal of Chongqing Technology and Business University:Natural Science Edition
基金
安徽省高等学校省级自然科学研究项目(KJ2007B239)
安徽大学人才队伍建设项目(随机商分形模型理论及应用)
关键词
多重分形谱
图像处理
喜马拉雅山
山脉
muhifractal spectrum
image processing
Himalayas
mountains