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基于对象和特征组合的高分辨率遥感影像分类研究
引用本文:聂倩,叶晓婷.基于对象和特征组合的高分辨率遥感影像分类研究[J].城市勘测,2012(1):45-47.
作者姓名:聂倩  叶晓婷
作者单位:宁波市测绘设计研究院,浙江宁波315042
摘    要:针对高分辨率影像的空间分辨率高而光谱分辨率相对不足的特点,提出一种基于多尺度分割和特征组合的对象级分类方法。试验结果表明,面向对象的分类方法可有效抑制"椒盐现象",显著提高分类精度,更加适合于几何和纹理信息丰富的高分辨率影像的自动识别分类。

关 键 词:高分辨率遥感影像  影像分割  面向对象分类

Classification of High-Resolution Remote Sensing Image Based on Object Oriented and Feature Combination
Nie Qian,Ye Xiaoting.Classification of High-Resolution Remote Sensing Image Based on Object Oriented and Feature Combination[J].Urban Geotechnical Investigation & Surveying,2012(1):45-47.
Authors:Nie Qian  Ye Xiaoting
Affiliation:(Ningbo Design Research Institute of Surveying & Mapping,Ningbo 315041,China)
Abstract:A classification method for high-resolution image based on object oriented and feature combination is presented in this paper.The whole image is firstly multi-scale segmented to get objects.Then,the features of objects,such as spectral,geometrical and topological characteristics,are measured.Finally,the classification is carried out by using multi-features and the rules.The research shows that the object oriented method is more efficient than the pixels-based methods,and reduce the 'Pepper and Salt' pheomenon effectively.
Keywords:high resolution imagery  image segmentation  object oriented classification
本文献已被 CNKI 维普 等数据库收录!
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