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 B5
页码：835-842
出版社：Copernicus Publications
摘要：Presently, numerous types of geospatial data have become available for both industrial and research use. These types of data are collected by different sensors and from different platforms. Therefore, they are substantially different in physical nature, amount/type of information, and geometric/radiometric resolutions. Multi-sensor data fusion techniques combine data from multiple sensors and related information from associated databases, to achieve improved accuracies and more specific inferences than could be achieved from a single sensor. Many researchers have proposed different fusion schemes for integrating different sensory data. Yet, there is less amount of attention towards the fusion of airborne (AMMS) and land-based (LMMS) mobile mapping systems imagery/navigation data. Although, this integration scheme may be thought to be simple or similar to other optical-to-optical registration process, its practical implementation carries many challenges. Images captured by (LMMS) and (AMMS) are different in the sense of direction, scale, coverage, hidden/visible features. Consequently, the integration between the data captured by AMMS and LMMS is of high potential since both image/navigation data sets are complementary and can be integrated to complete the picture about the earth's surface. This paper proposes a fusion scheme for the overall objective of improving the 3D mapping accuracy. This fusion scheme aims at creating a unique model, which can be visualized in several contexts of application.Also, the common adjustment of terrestrial and aerial photogrammetric networks recovers/enhances sensors georeferencing information.a way for LMMS bridging during GPS outages or georeferencing aerial images block. The proposed integration framework uses different matching entities of lines (e.g. road edges and lane lines) in addition to the traditionally-used point-based approach. Mathematical model of collinearity condition has been adapted to suite multi-camera system. In this paper, we consider the scientific and the technical issues about the strategy of the proposed fusion scheme. The used modalities will be coming from the simulated VISAT LMMS platform and other sources
关键词：Photogrammetry; Mapping; Bundle Adjustment; Fusion; Georeferencing; Mobile Mapping; and Triangulation
