基于PRS的遥感图像地物信息提取模型

doi:10.6046/gtzyyg.2004.03.05

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摘要点源理论(PRS)是一种面向应用需求的集中信息处理方式。不同尺度、不同分辨率的点都是一定的综合信息场,是客观世界的真实反映。本文在数字图像处理过程中引入点源理论,探讨针对地物空间信息应用服务的遥感信息分析和处理模型,讨论基于点源的图像构造、知识构造及地物模型建造过程,给出基于点源的遥感图像地物提取流程。

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Abstract：The point resource system is a new needs-oriented method for information processing. In PRS, points can have different scales and resolutions, which is a reflection of the real world based on the synthesized description of the object. With this useful tool, we can process large quantities of remote sensing data more quickly and accurately. The performance of the point resource system in image processing is described. To meet the demand of information extraction in the spatial information grid, a model is built which includes image point modeling, knowledge point modeling and object point modeling. A full procedure of objects extraction with PRS is shown in this paper.

收稿日期: 2003-05-13 出版日期: 2011-08-02

基金资助:

863专项2002AA134020资助。

作者简介: 高芳琴(1977-),华东师范大学自然地理学博士,主要研究方向为遥感图像处理、数据挖掘.

引用本文:

高芳琴, 孙建中. 基于PRS的遥感图像地物信息提取模型[J]. 国土资源遥感, 2004, 16(3): 18-22.
GAO Fan-qin, SUN Jian-zhong. PRS-BASED INFORMATION EXTRACTION OF OBJECTS IN REMOTE SENSING IMAGE. REMOTE SENSING FOR LAND & RESOURCES, 2004, 16(3): 18-22.

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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2004.03.05 或 https://www.gtzyyg.com/CN/Y2004/V16/I3/18

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