This paper presents work on the development of automatic feature extraction from multispectral aerial images and lidar data based on test data from two different study areas with different characteristics. First, we filtered the lidar point clouds to generate a Digital Terrain Model (DTM) using a novel filtering technique based on a linear first-order equation which describes a tilted plane sur...

Large eddy simulation (LES) of turbulent heat transfer in an infinite channel has been used to compare the performance of several promising sub-filter-scale models for modelling the transport of a passive scalar. The dynamic mixed model and the dynamic reconstruction model (a higher order version of the mixed model) have been reported in the literature to perform very well in LES of turbulent f...

This study assesses the performance of three classification trees (CT) models (Entropy, Gain Ratio and Gini) for building detection by the fusion of laser scanner data and multi-spectral aerial images. Data from four study areas with different sensors and scene characteristics were used to assess the performance of the models. The process of performance evaluation is based on four criteria: mod...

The paper describes two different methods for extraction of two types of urban objects from lidar digital surface model (DSM) and digital aerial images. Within the preprocessing digital terrain model (DTM) and orthoimages for three test areas were generated from aerial images using automatic photogrammetric methods. Automatic building extraction was done using DSM and multispectral orthoimages....

BACKGROUND Previous studies demonstrated that digital thermal monitoring (DTM) of vascular reactivity, a new test for vascular function assessment, is well correlated with Framingham Risk Score, coronary calcium score and CT angiography. This study evaluates the variability and reproducibility of DTM measurements. We hypothesized that DTM is reproducible, and its variability falls within the ac...

The paper introduces the extraction of objects that are higher than their surroundings, like houses, trees, or bridges, by the segmentation of a DTM (digital terrain model). We propose a new algorithm (called dual rank) to extract the ground in the DTM, which can be seen as an extension of the gray opening. The extraction of high objects can simply be done via thresholding using the preprocesse...

The evolution of fiber optics has made it possible to build high speed communication systems, gigabit (per second) networks. Gigabit networks have enough capacity to integrate traffic from several applications, such as video, audio and computer traffic, into one network. Techniques for gigabit networks, such as packet, cell and circuit switching, have been evaluated at different gigabit testbed...

Two-dimensional (2D) disordered superconductor (SC) in class D exhibits a disorder-induced quantum multicritical phenomenon among diffusive thermal metal (DTM), topological (TS), and conventional localized (AI) phases. To characterize the tricritical point where these three phases meet, we carry out two-loop renormalization group (RG) analysis for 2D Dirac fermion with random mass terms of $\ep...

In this paper we describe a new approach for the extraction of urban objects from very high resolution (VHR) optical stereo satellite imagery. Such data is delivered from sensors like Ikonos, QuickBird, GeoEye or WorldView-II. These sensors provide ground sampling distances (GSD) of 0.5 to 1 m for the pan chromatic channel and 2 to 4 m for the multispectral channels. Normally good digital surfa...

A recent Announcement of Collaborative Opportunity (AOCO) [1], offers an invitation to interested parties to participate in an exercise to validate the new ASTER Global DEM (GDEM). At the time of this abstract submission, the ASTER GDEM has not yet been released but is expected to be available for validation purposes in early 2009 and for general use later in 2009. The validation program is co-...