Modelling and visualisation methods working directly with point-sampled geometry have developed into attractive alternatives to more traditional mesh-based surface processing. In this paper, we consider a vital step in any point-based surface processing pipeline, point cloud simplification. Building upon the intrinsic point cloud simplification idea put forward in [14], we obtain a simplificati...

Most of the cultural sites hidden under dense vegetation in the mountains of China have been destroyed. In this paper, we present a microtopographic feature analysis (MFA)-based Light Detection and Ranging (LiDAR) data processing approach and an archaeological pattern-oriented point cloud segmentation (APoPCS) algorithm that we developed for the classification of archaeological objects and terr...

Autonomous underwater vehicles (AUVs) are widely used to explore the mysterious underwater world. Following along predefined spatial paths, AUVs are able to gather valuable seabed information in a designated area by recruiting sonar suites. The acoustic data collected by AUVs are usually in the type of point cloud with range information. Hence, how to reconstruct the topography of seabed via 3D...

The point set is a flexible surface representation suitable for both geometry processing and real-time rendering. In most applications, the control of the point cloud density is crucial and being able to refine a set of points appears to be essential. In this paper, we present a new interpolatory refinement framework for point-based geometry. First we carefully select an appropriate one-ring ne...

For optical images, cloud and cloud shadow is always a problem during image processing and interpretation. Landsat ETM+ images, as a kind of optical images, are affected by cloud too. On the other hand, microwave images such as ALOS PALSAR images, which depend on microwave, is not affected by cloud, thus they are cloud-free. The aim of this study is to develop a semi-automatic method for removi...

One of the main features of High Throughput Computing systems is the availability of high power processing resources. Cloud Computing systems can offer these features through concepts like Pay-Per-Use and Quality of Service (QoS) over the Internet. Many applications in Cloud computing are represented by workflows. Quality of Service is one of the most important challenges in the context of sche...

In this study a semi-empirical model that was originally developed for stem volume estimation is used for aboveground biomass (AGB) estimation. The semi-empirical model is based on the relative heights of first echo LiDAR point cloud data and assumes a linear relationship between AGB and canopy volume. However, the usage of point cloud data leads to a computationally demanding task when process...

various combustion characteristics and properties are studied while selecting a fuel for any engine. the choice of the engine and fuel are highly interrelated. vegetable oil is one obvious fuel particularly because their fuel properties are closer to diesel fuel. two important properties, the cetane number and the calorific value are similar to diesel. hence diesel engines can be operated on ve...

The continual improvement of 3D sensors has driven the development algorithms to perform point cloud analysis. In fact, techniques for classification and segmentation have in recent years achieved incredible performance part by leveraging large synthetic datasets. Unfortunately these same state-of-the-art approaches poorly when applied incomplete clouds. This limitation existing is particularly...