文章基本信息

标题：THE DESIGN AND IMPLEMENTATION OF A NOVELL OBJECT RECOGNITION METHOD BASED ON INFORMATION FUSION AND ARTIFICIAL INTELLIGENT I CONCEPT
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作者：Farhad Samadzadegan ; Ali Azizi ; Michael Hahn 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：2002
卷号：XXXIV Part 4
出版社：Copernicus Publications
摘要：The idea of having a fully automatic three dimensional object recognition (OR) system to replace the human operator has been one of the main aspirations and the final goal of many photogrammetric and computer vision investigators. This would reduce the need for the human experts for object recognition and extraction and hence decreases the production time and leads to a more economical knowledge-based information extraction. Nevertheless, due to the tremendous complications and complexities associated with the natural objects appearing in digital images, fully automatic object recognition have faced serious obstacles and, thus, only in a relatively simple imaging environment or controlled laboratory conditions a reliable result is normally expected.
关键词：Object Extraction and Recognition; Fuzzy Logic; Neuro-Fuzzy; DSM; Morphological Operators; Finite Elements; ; Matching