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：1998
卷号：XXXII Part 4
出版社：Copernicus Publications
摘要：During the past data fusion has become an important issue in remote sensing image analysis. Image analysts benefitvery much from fusion products, e.g. merged optical and radar imagery, which provide a more complete view of theimaged scene. Enhancement of the local texture of multispectral imagery by fusion with panchromatic images is anotherexample which leads to an improvement of classification accuracy and visual interpretability. In photogrammetry sensorand data fusion and recently the more general task of information fusion gain more and more attention. Improvementswith regard to the algorithmic complexity and the quality of 3D reconstructed objects are demonstrated, for example, incombining airborne laser data and aerial images for building reconstruction. From the GIS field existing maps or objectdata bases which carry information about objects in various forms are contributed which also have to be taken intoaccount within information fusion. And all three disciplines are dealing with modeling and the development of strategiesand algorithms to solve a variety of problems in so far heterogeneous fields and applications.In this paper we intend to give an overview about information fusion in the interrelated fields of photogrammetry, remotesensing and GIS. In particular, we summarise papers and other activities of members of ISPRS ICWG IV/III.2 with theidea to structure these efforts giving state of the art
