文章基本信息

标题：SEGMENTATION OF HIGH-RESOLUTION REMOTELY SENSED DATA - CONCEPTS, APPLICATIONS AND PROBLEMS
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作者：Jochen Schiewe
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：2002
卷号：XXXIV Part 4
出版社：Copernicus Publications
摘要：Segmentation algorithms have already been recognized as a valuable and complementary approach that similar to human operators perform a region-based rather than a point-based evaluation of high-resolution and multi-source remotely sensed data. Goal of this paper is to summarize the state-of-the-art of respective segmentation methods by describing the underlying concepts which are rather complex in the case of processing remotely sensed data, demonstrating various applications (automatical object recognition, signal- based fusion as support for visual interpretation, and estimation of the terrain surface from Digital Surface Models), and identifying yet existing problems and further research and development needs
关键词：segmentation; feature level fusion; multi-source data; high-resolution data