基于资源三号卫星遥感影像的山区套种烟草面积估测
Estimation of the Intercropped Tobacco Area in Mountainous Area Based on ZY-3 Remote Sensing Images
刘明芹 1李新举 1杨永花 2牛纪军 2徐冬云1
作者信息
- 1. 山东农业大学资源与环境学院,山东泰安271018
- 2. 山东临沂烟草有限公司,山东临沂276400
- 折叠
摘要
[目的]针对传统实地测量难以实现山区大面积套种烟草面积监控的问题,研究一种快捷、高精度的估测途径.[方法]利用EN-VI5.1软件处理资源三号卫星2.1m全色影像和5.8m多光谱影像,导入1:1万DEM数据进行正射校正以纠正地形起伏引起影像上的误差.野外获得具有代表性的地面控制点(GCP),利用面向对象分类方法,对影像进行智能化的分割和合并,以GCP的光谱、纹理和形状属性创建规则,进而提取烟草面积.[结果]经过分类后处理提取的研究区烟草面积为14 088.46 hm2,分类精度达到94.63％.[结论]面向对象分类方法提取遥感影像信息的实用性较高.
Abstract
[Objective] To find a rapid and high-precision estimation approach for estimation of the intercropped tobacco area in Mountainous Area.[Method] ZY-3 2.1 m panchromatic image and 5.8 m multispectral image were researched by ENVI5.1 software.Orthorectification was carried out by introducing 1: 10 000DEM data, so as to correct the image error induced by topographic relief.Representative ground control points (GCPs) were obtained in outdoor.[Result] Images were intelligently combined and divided by object-oriented classification method.Regulations were established based on the GCP spectrum, texture and shape properties.The tobacco area was extracted, which was 14 088.46 hm2.The classification accuracy reached 94.63％.[Conclusion] Extracting remote sensing images by object-oriented classification method had relatively high practicability.
关键词
资源三号卫星遥感影像/ENVI5.1/面向对象分类/烟草种植面积Key words
ZY-3 remote sensing image/ENVI5.1/Object-oriented classification/Tobacco planting area引用本文复制引用
基金项目
国家自然科学基金(41171425)
山东省烟草公司重点项目(2014-7-1)
上海烟草集团公司重点科技项目(SZB-CW2013-01140)
出版年
2016
国家科技期刊平台
NSTL
维普
万方数据