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中国科学院大学学报 ›› 2015, Vol. 32 ›› Issue (3): 342-348.DOI: 10.7523/j.issn.2095-6134.2015.03.008

• 环境科学与地理学 • 上一篇    下一篇

一种平原区园地遥感信息提取的新方法

苑惠丽1, 马荣华1, 李吉英2   

  1. 1. 中国科学院南京地理与湖泊研究所, 南京 210008;
    2. 滨州学院建筑工程系, 山东 滨州 256600
  • 收稿日期:2014-04-16 修回日期:2014-09-10 发布日期:2015-05-15
  • 通讯作者: 马荣华
  • 基金资助:

    全国生态环境十年(2000—2010年)变化遥感调查与评估专项(STSN0105)、中国科学院战略性先导科技专项(XDA05050106)、滨州学院青年人才创新工程项目(BZXYQNLG200617)资助

A new method for extracting remote sensing information of orchard in plain terrain

YUAN Huili1, MA Ronghua1, LI Jiying2   

  1. 1. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
    2. Department of architectural Engineering, Binzhou University, Binzhou 256600, Shandong, China
  • Received:2014-04-16 Revised:2014-09-10 Published:2015-05-15

摘要:

针对平原区园地与居民点落叶林不易区分的特点,提出适合于中分辨遥感影像的平原区园地信息提取特征指标——平原区园地指数.利用影像的多时相特征,结合面向对象的分类方法构建平原区园地信息提取模式.安徽省砀山县园地提取实验表明,该方法简单易行,有效避免了"椒盐现像",提高了分类精度,对于准确地确定平原区园地面积及其分布情况具有重要的实际应用价值.

关键词: 平原区园地, KT_B变换, 平原区园地指数, 面向对象的分析方法, 砀山县

Abstract:

The index for orchard in plain terrain (IOPT), which is fit for the information extraction of orchard in plain terrain with medium-resolution remote sensing images, was proposed. With the full use of the multi-temporal features of images, an extraction mode based on object-based information analysis method was established. We took Dangshan county as the study area. The experimental results show that the extraction accuracy of orchard information reached up to 89.5%. Using this method one can avoid "salt and pepper phenomenon" and monitor the distribution of orchard correctly and efficiently.

Key words: orchard in plain terrain, K-T and bands transform, index for orchard in plain terrain, object-based information analysis method, Dangshan county

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