文章基本信息

标题：Organization and Representation of Objects in Multi-Source Remote Sensing Image Classification
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作者：Guifeng Zhang ; Zhaocong Wu ; lina Yi 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B7
页码：509-514
出版社：Copernicus Publications
摘要：Compared with the traditional remote sensing image processing system based on pixel, there are some unique characters in the object-based classification: various operations on objects; variety of objects features; complicated relationships among objects; high- dimensional feature set. All of these increase the difficulty of the organization and representation of objects. Therefore, the effective organization and representation of objects plays a key role in this system. This paper proposes a synthetic dynamic representation method of objects. The characteristic of the method lies in: the objects are represented in both the vector and raster format; the high- dimensional object features are dynamically recorded; the complicated relations among objects are recorded based on hierarchal object network. This method considers the characters of the object-oriented multi-source remote sensing imagery classification system. It effectively solves the problems of object representation and meets the demands of the multi-source remote sensing imagery classification
关键词：Object-oriented data model; Dynamic object representation; Multisensor; Geometric feature; Spectral feature