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土地利用变化信息自动提取方法 被引量:9

Research on method of automatic land use change detection
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摘要 在深入研究了基于 3S 技术更新土地利用图件的方法基础上,从实用化的角度出发,建立了一套利用 3S 技术更新土地利用基础图件的技术流程与方法,并针对不同的数据情况和变化信息自动提取难等问题提出了基于土地利用图斑单元的知识库变化信息自动发现方法、多波段遥感影像交叉相关分析变化识别方法及面向对象的遥感影像分类变化检测方法。然后结合实验数据,对整个工艺流程进行了编程实现和试验验证。实验证明,更新方法在国土资源部的课题中得到证实是切实可行,并取得了一定的效益。 Integrating raster with vector methods of updating the basic land use map based on 3S technology is becoming one of the most important developing direction in 3S application fields; land-use and cover change fields over the world. In this paper, I establish a set of updating the basic land use map technology and flow after I go deep into studying the methods of updating the basic land use map based on 3S technology. It is very important point that I bring forward a method of change information automatic detected founding on map spot cell aiming at difference data and difficult identifying change information problems. And then, I compile the program and practise validating to examine technics flow. Test prove it is keeping ahead, in reason, science and nicety. It has been successful applied in two task of The Ministry of Land and Resources P.R.C and taken some benefit.
出处 《辽宁工程技术大学学报(自然科学版)》 CAS 北大核心 2004年第5期600-602,共3页 Journal of Liaoning Technical University (Natural Science)
基金 国土资源部重点科技项目(2001010101)
关键词 土地利用 交叉相关 面向对象 变化信息 land use change cross co-relation object-oriented change Information
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参考文献3

  • 1Jenssen L.L. F and H. Middelkoop. Knowledge-base crop classification of Landsat Thermatic Mapper image[J]. International Journal Of Remote Sensing, 1992, 13(.15): 2827-2837.
  • 2Jonathan. Texture features for land cover change detection at 250M resolution and application of machine learning feature subset selection[M].2001.
  • 3P.C.Smits and A.Annoni. Updating land-cover maps by using texture information from very high-resolution space-borne imagery[J].IEEE Transaction on Geoscience and Remote Sensing, 1999,37(.3):1227-1233.

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