Building reconstruction is essential in applications such as urban planning, telecommunication network planning, flight simulation and vehicle navigation which are of increasing importance in urban areas. This paper introduces a new method for automated building reconstruction by fusing airborne optical data with LiDAR point clouds. The data consists of aerial digital imagery acquired with the ...

Many researches have been done to extract buildings from high resolution Synthetic Aperture Radar (SAR) data. The extraction problem is far from solved due to many constraints, e.g. SAR side-look imaging, speckle, and lack of object extent in SAR images. Building detection algorithms usually use intensity information or textures. Layovers and shadows can be discriminated from other objects sinc...

Based on the high-resolution image data in urban areas, the paper investigate the key technologies in building detection and reconstruction, particularly focused on the Building Model Driving (BMD) algorithm for hip-roof building and box building. In this case, the boundaries of building rooftop are straight lines. The main methods, including generating the DSM data by a graph-cut based image d...

Automatic building extraction remains an open research problem in digital photogrammetry. While many algorithms are proposed for building extraction, none of these solve the problem completely. One of their limitations is in the initial detection of the presence or absence of a building in the image region. One approach to the initial detection of buildings is to cast the problem as one of clas...

To present a new method for building boundary detection and extraction based on the active contour model, is the main objective of this research. Classical models of this type are associated with several shortcomings; they require extensive initialization, they are sensitive to noise, and adjustment issues often become problematic with complex images. In this research a new model of active cont...

The increment of the numbers for accidents due to building safety system errors has created a serious disaster over the year. Due to that reason, this paper presents the entitled Building Heat Detection System (BHD System) by the objectives to develop the proper circuit in order to secure the detection device during the building fire attack. A BHD system, also known as fire protection system co...

This study describes three different data mining techniques for detecting abnormal lighting energy consumption using hourly recorded energy consumption and peak demand (maximum power) data. Two outliers’ detection methods are applied to each class and cluster for detecting abnormal consumption in the same data set. In each class and cluster with anomalous consumption the amount of variation fro...

Intrusion Detection systems are increasingly a key part of system defence. Various approaches to Intrusion Detection are currently being used but false alarm rate is higher in those approaches. Network Intrusion Detection involves differentiating the attacks like DOS, U2L, R2L and Probe from the Normal user on the internet. Due to the variety of network behaviors and the rapid development of at...

During the last years, new approaches, exploring the high detail level characterizing high-resolution optical and SAR images provided by current spaceborne sensors, have been proposed for object detection and reconstruction in urban areas. Especially, challenges are born in the fields of building extraction and building height estimation for 3D reconstruction of urban scenes. Some technics such...