Automatic building extraction from high resolution satellite imagery is considered as an important field of research in remote sensing and machine vision. Many algorithms for extraction of buildings from satellite images have been presented so far. These algorithms mainly have considered radiometric, geometric, edge detection and shadow criteria approaches to perform the building extraction. In...

As part of the Siemens Building Technologies Division, the business segment and intrusion detection products and systems plus video surveillance products. Siemens Energy provides its customers with the latest tecnology in Intrusion Detection Systems (IDS) Siemens Corporate Research Modern intrusion detection systems (IDSes) for virtualized environments are 2.1 VMM-Based Intrusion Detection Syst...

Automated building detection has been an active topic in photogrammetry and computer vision. One of the challenges is to effectively separate buildings from trees using aerial imagery and Lidar data. In cases where an adopted building detection technique cannot distinguish between these two classes of objects, the presence of trees in the scene can increase the rates of both false positives and...

Effective separation of buildings from trees is a major challenge in automatic building detection from aerial imagery and Lidar data. In cases where an adopted building detection technique cannot distinguish between these two classes of objects, the presence of trees in the scene can increase the rates of both false positives and false negatives in the building detection process. This paper pre...

Since remote sensing field provides new sensors and techniques to accumulate data on urban region, three-dimensional representation of these regions gained much interest for various applications. Three-dimensional urban region representation can be used for detailed urban monitoring, change and damage detection purposes. In order to obtain three-dimensional representation, one of the easiest an...

3D building models with prototypical roofs are more valuable in many applications than 2D building footprints. This research proposes a hybrid approach, combining the dataand model-driven approaches for generating LoD2-level building models by using medium resolution (0.91 m) LiDAR nDSM, the 2D building footprint and the high resolution orthophoto for the City of Indianapolis, USA. The main obj...

Building facade detection is an important problem in computer vision, with applications in mobile robotics and semantic scene understanding. In particular, mobile platform localization and guidance in urban environments can be enabled with accurate models of the various building facades in a scene. Toward that end, we present a system for detection, segmentation, and parameter estimation of bui...

Three dimensional city models are necessary for supporting numerous management applications. For the determination of city models for visualization purposes, several standardized workflows do exist. They are either based on photogrammetry or on LiDAR or on a combination of both data acquisition techniques. However, the automated determination of reliable and highly accurate city models is still...

In this paper, two main approaches for automatic building detection and localization using high spatial resolution imagery and LiDAR data are compared and evaluated: thresholding-based and object-based classification. The thresholding-based approach is founded on the establishment of two threshold values: one refers to the minimum height to be considered as building, defined using the LiDAR dat...

This work presents a combined bottom-up and top-down approach to extraction and refinement of building footprints from airborne LIDAR data. Building footprints are interesting for many applications in urban planning. The cadastral maps, however, may be limited for certain areas or not be updated frequently. Airborne laser scanning data is therefore considered by many people in the last decade a...