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环境科学与地理学

景观破碎化区域土地覆被面向对象分类研究——以皖南山区为例

  • 刘桂林 ,
  • 张落成 ,
  • 赵金丽
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  • 1. 中国科学院南京地理与湖泊研究所 湖泊与环境国家重点实验室, 南京 210008;
    2. 中国科学院大学, 北京 100049

收稿日期: 2013-02-26

  修回日期: 2013-09-25

  网络出版日期: 2014-09-15

基金资助

国家自然科学基金(41130750)、国家海洋公益专项(201005009-13)、中国科学院重点部署项目(KZZD-EW-10-04-2)和中国科学院南京地理与湖泊研究所135项目(NIGLAS2012135006)资助

Study on land-cover classification using object-oriented method in landscape fragmentation zone:in the mountainous region of southern Anhui

  • LIU Guilin ,
  • ZHANG Luocheng ,
  • ZHAO Jinli
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  • 1. State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2013-02-26

  Revised date: 2013-09-25

  Online published: 2014-09-15

摘要

以景观破碎化的皖南山区为试验靶区,基于2009年4期的Landsat 5 TM与HJ-1/CCD遥感影像,结合野外调查数据,分析土地覆被类型在影像上的特征,挖掘出相应的光谱、纹理、空间及时相等信息,获取相关特征波段.基于See 5.0软件,根据训练样本筛选特征波段及组合并获取最佳阈值.基于面向对象分类软件,对TM影像进行尺度10、30的2级分割,参照最佳特征波段及阈值建立规则集并获取分类数据.结果表明:基于面向对象的多时相分类法能精确地获取土地覆被数据,精度均高于92%,其在以皖南山区为代表的景观破碎化区域适用性较高.

本文引用格式

刘桂林 , 张落成 , 赵金丽 . 景观破碎化区域土地覆被面向对象分类研究——以皖南山区为例[J]. 中国科学院大学学报, 2014 , 31(5) : 626 -631 . DOI: 10.7523/j.issn.2095-6134.2014.05.007

Abstract

Landsat 5 TM and HJ-1 CCD images in 2009 were selected for land-cover classification in mountainous region of southern Anhui. Combining with field survey data, we analyzed land-cover characteristics to dig out spectrum, texture, spatial and temporal information, and obtained the feature bands of the corresponding land-cover types. Using See 5.0 software, we oltained the optimal feature bands and thresholds of land-cover types based on training samples. The rule sets of land-cover classification were established using eCognition Developer 8.64 software. The results showed that, by using the object-oriented classification method based on multi-temporal remote sensing images, the land-cover classification with accuracies higher than 92% was acquired. This method is suitable for land-cover classification in the mountainous region of southern Anhui.

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