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The paper concerns the generalization of DTM extracted from LiDAR data. The essence of generalization is reducing details while enhancing important features at the same time; so for the purpose of terrain surface visualization special attention has to be given to the enhancement and generalization of topographic objects like dams, roads etc. The focus of(More)
This paper presents an algorithm for the extraction of surface clusters from airborne laser data. Surface structure analysis is fundamental to almost any application involving LIDAR data, yet most algorithms focus only on identifying planar segments. The proposed algorithm is more general insofar as it aims at extracting surface segments that exhibit an(More)
The field of application of the IEEE P1900.4 standard is radio systems forming a composite radio access network, i.e. with multi-radio access networks (RAN) using different radio access technologies (RAT). The end-user terminals are multimode terminals, supporting several RATs, with multi-radio link capabilities and having cognitive radio capabilities, such(More)
In this paper, we describe how object recognition benefits from exploiting multispectral and multisensor datasets. After a brief introduction we summarize the most important principles of object recognition and multisensor fusion. This serves as the basis for the proposed architecture of a multisensor object recognition system. It is characterized by(More)
We present in this paper an algorithm for the detection of changes based on terrestrial laser scanning data. Detection of changes has been a subject for research for many years, seeing applications such as motion tracking, inventory-like comparison and deformation analysis as only a few examples. One of the more difficult tasks in the detection of changes(More)
Whereas the objectives of a strip adjustment procedure are simple to define, namely improving the accuracy of laser data and creating a seamless dataset, achieving them is difficult. Complex data acquisition systems and data that carry only little information are two aspects that make the formulation of a strip adjustment model difficult. Furthermore,(More)
The objectives of a strip laser adjustment are simple to define, namely improving the accuracy of laser data and creating a seamless dataset. Achieving these objectives is however difficult. Complex data acquisition systems and numerous error sources make the formulation of a strip adjustment model a complex problem. Difficulties in manually processing the(More)
IEEE P1900.4 is an emerging standard for optimized radio resource utilization where cognitive radio technologies are used for efficient spectrum utilization. In this paper, we design and implement a cognitive wireless network system based on open documents of IEEE P1900.4, and evaluate its performance using UDP streaming and HTTP download. Our experiments(More)