中国农业气象 ›› 2012, Vol. 33 ›› Issue (04): 573-578.doi: 10.3969/j.issn.1000-6362.2012.04.015

• 论文 • 上一篇    下一篇

基于HJ-1A/B-CCD影像的湖北省冬小麦和油菜分布信息的提取方法

梁益同,万君   

  1. 武汉区域气候中心,武汉430074
  • 收稿日期:2012-02-22 出版日期:2012-11-20 发布日期:2013-02-26
  • 作者简介:梁益同(1966-),湖北武汉人,高级工程师,主要从事卫星遥感应用研究。Email:yitong2007@hotmail.com
  • 基金资助:

    2011年中国气象局气象关键技术集成与应用项目(CMAGJ2011Z02);湖北省气象局科技发展基金重点项目(2012Z02)

Application of HJ-1A/B-CCD Images in Extracting the Distribution of Winter Wheat and Rape in Hubei Province

LIANG Yi tong,WAN Jun   

  1. Wuhan Regional Climate Center,Wuhan430074,China
  • Received:2012-02-22 Online:2012-11-20 Published:2013-02-26

摘要: 利用不同时期HJ-1A/B-CCD影像提取湖北省冬小麦和油菜分布信息。计算冬小麦、油菜不同生长期的NDVI曲线,通过野外调查和测量,获取冬小麦、油菜和其它典型地物的光谱特征。确定CCD影像提取冬小麦和油菜信息的最佳时相及不同地物在CCD影像上的色彩特征。采取最大似然分类法,对CCD影像进行分类,提取冬小麦、油菜分布信息。结果表明,HJ-1A/B-CCD影像提取精度达95.48%,可以用于提取冬小麦、油菜分布信息;对于湖北省而言,3月中、下旬(冬小麦拔节、油菜开花)是HJ卫星提取冬小麦、油菜信息的最佳时相;在最佳时相内,冬小麦和油菜具有不同的光谱特征和CCD影像色彩特点,且样本分布服从近似正态分布,可以用最大似然方法提取其信息。

关键词: HJ-1A/1B-CCD影像, 冬小麦和油菜, 地物光谱, 最大似然分类

Abstract: An application of using HJ-1A/B-CCD images in extracting the distribution of winter wheat and rape in Hubei province was searched in this paper NDVI curve of winter wheat and rape in different growth stage were calculated by different periods of CCD images,the spectral features of the winter wheat,rape and other typical features were obtained according to the field investigation and measurement.The best phase for extracting rape and winter wheat and the color of different surface objects in CDD image were confirmed.The maximum likelihood classification method was taken to extract winter wheat and rape in CDD images.The results indicated that: HJ-1A/B-CCD data could be used to extract the winter wheat and rape,the extracting precision was 95.48%;the late 10 day of March was the best phase for extracting winter wheat and rape using HJ-1A/B satellite in Hubei province.In the best phase,winter wheat and rape had different spectrums and CCD image color,and their sample distributions satisfied the normal distribution,so the maximum likelihood method can be used to extract the distribution of winter wheat and rape.

Key words: HJ-1A/1B-CCD images, Winter wheat and rape, Surface object spectrum, Maximum likelihood classification

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