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标题：ANALYSIS OF IMAGE OBJECTS FROM VHR IMAGERY FOR FOREST GIS UPDATING IN THE BAVARIAN ALPS
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作者：Roeland de Kok
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：2000
卷号：XXXIII Part B3(/1+2)
页码：222-229
出版社：Copernicus Publications
摘要：Pixel based analysis deals with the three basic features of a single pixel; Position Size and Value. The important spatial context of the pixel is used in filter operations, where the output value is assigned to the central pixel. In the middle of the 70 th , Landgrebe (1976) tried to register the important spatial context of the pixels (the software ECHO), assuming that a local pixel-group was representing a specific spectral distribution of the local land-cover class. Such analysis could only be successful when the problems with segmentation algorithms were solved. Cross and Mason (1988) continued this work, using quad tree segmentation techniques. In the work of Molenaar (1990), the basics of mathematics similarity between raster surface description and vector surface representations were shown. As this similarity was obvious, the powerful use of the SQL analysis of the database with raster (image) objects would be feasible. In the later work of Gorte (1998A), the importance of the quadtree segmentation image output in combination with a table link showed how GIS objects and raster (image) objects could be treated in the same way inside one database. Gorte pointed out the curious lack of attention in the standard literature on the potential of segmentation for remote sensing of earth observation. He also pointed out the pre-advantage of the remote sensing and GIS synergy which was considerably assisted with object based image analysis. The late 90 shows a remarkable increase of interest in the remote sensing community for advanced segmentation techniques and the possibilities of advanced SQL applications among image objects. In Munich the Delphi2 e-Cognition team has been concentrated since 1995 on the development of an image analysis software which combines an advanced segmentation technique with a database of image objects, which are linked through an hierarchical network. Their philosophy is based upon a Fractal Net Evolution` concept derived from the ideas of Dr. Binnig. Fractal Net Evolution is an efficient method for the description of complex semantics within largely self-organizing and dynamic networks. It combines insights into the fractal semantic of the world with object orientation. (Baatz, 1999).
关键词：Remote Sensing; Object-oriented; segmentation; semantic network; alpine forestry