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基于光谱和纹理特征的山区高分辨率遥感影像分类
引用本文:孙建国,杨树文,段焕娥,王沛,闫浩文.基于光谱和纹理特征的山区高分辨率遥感影像分类[J].测绘科学,2009,34(6).
作者姓名:孙建国  杨树文  段焕娥  王沛  闫浩文
作者单位:1. 兰州交通大学数理与软件工程学院,兰州,730070
2. 兰州交通大学数理与软件工程学院,兰州,730070;兰州市国土资源勘测和地质环境监测中心,兰州,730030
3. 兰州市国土资源勘测和地质环境监测中心,兰州,730030
摘    要:本文在只做阴影补偿而不做地形校正的情况下,使用光谱和纹理特征相结合的方法进行山区高分辨率遥感影像分类。实验取得了78%的分类精度,表明该方法合理可行,具有一定的实用性。

关 键 词:土地利用/覆盖分类  阴影补偿  纹理分析  山区  高分辨率遥感

Land use/cover classification of high resolution remote sensing images of mountainous areas based on texture and spectral information
SUN Jian-guo,YANG Shu-wen,DUAN Huan-e,WANG Pei,YAN Hao-wen.Land use/cover classification of high resolution remote sensing images of mountainous areas based on texture and spectral information[J].Science of Surveying and Mapping,2009,34(6).
Authors:SUN Jian-guo  YANG Shu-wen  DUAN Huan-e  WANG Pei  YAN Hao-wen
Abstract:In this paper, only the shadow compensation has been done, without the topographic correction. Using the method integrating the spectral and texture features to classify land use/cover types by high-resolution remote sensing image from mountainous region. Experiment has been made and achieved a classification accuracy of 78%, indicating that the method is reasonable and practicable.
Keywords:land use/cover classification  shadow recovery  texture analysis  mountainous reagion  high resolution remote sensing
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