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辅以纹理特征的典型盐渍区地表覆被遥感影像分类
引用本文:樊彦国,侯春玲,郭若成,钱尊岩,张涛.辅以纹理特征的典型盐渍区地表覆被遥感影像分类[J].遥感信息,2011(4):34-37.
作者姓名:樊彦国  侯春玲  郭若成  钱尊岩  张涛
作者单位:中国石油大学(华东)地球资源与信息学院,青岛,266555
基金项目:中央高校基本科研业务费专项资金资助; 山东省科技攻关项目(2008GG10009018)
摘    要:结合实测的盐渍地表光谱数据,采用经验线性法对遥感影像进行大气校正.分析了实测高光谱数据与遥感影像光谱值的关系,然后针对盐生植被光谱的相似性,对影像进行纹理特征提取.结合影像的纹理特征和光谱特征,运用神经网络分类法进行盐渍区地表覆被分类.结果表明辅以纹理特征的分类方法有效提高了盐生植被的分类精度.

关 键 词:经验线性法  纹理特征提取  盐生植被分类

Land Cover Classification in Salt-affected Zone Supplemented with Textural Features
FAN Yan-guo,HOU Chun-ling,GUO Ruo-cheng,QIAN Zun-yan,ZHANG Tao.Land Cover Classification in Salt-affected Zone Supplemented with Textural Features[J].Remote Sensing Information,2011(4):34-37.
Authors:FAN Yan-guo  HOU Chun-ling  GUO Ruo-cheng  QIAN Zun-yan  ZHANG Tao
Affiliation:FAN Yan-guo,HOU Chun-ling,GUO Ruo-cheng,QIAN Zun-yan,ZHANG Tao(College of Geo-Resource and Information in China University of Petroleum,Qingdao 266555)
Abstract:The paper firstly analyzed the relation between the measured spectral data and multi-spectral image data after atmospheric correction by empirical line calibration method.Then textural features were extracted using the multi-spectral ALOS image.Classification and recognition were carried out by the neural network method combined with the spectral characteristics and spatial characteristics on the synthetic image.The classification accuracy was improved.
Keywords:empirical line calibration method  textural feature extraction  halophytic vegetation classification  
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