Building change detection from very-high-resolution (VHR) urban remote sensing image frequently encounter the challenge of serious false alarm caused by different illumination or viewing angles in bi-temporal images. An approach to alleviate the false alarm in urban building change detection is proposed in this paper. Firstly, as shadows casted by urban buildings are of distinct spectral and sh...

The building edge detection plays a key role during building extraction, which is important and necessary for building description. The edges detected from aerial images have high horizontal accuracy and represent various edge shapes well. But the edge detection in images is often influenced by contrast, illumination and occlusion. LIDAR data are suitable for judging building regions, but miss ...

These days, security threats detection, generally discussed to as intrusion, has befitted actual significant and serious problem in network, information data security. Thus, an intrusion detection system (IDS) important element computer or network Avoidance of such intrusions wholly bases on ability Intrusion Detection System which productions necessary job it identifies different kinds attacks...

Significant energy savings can be realised from buildings if deviations the usual operating conditions are detected early, and appropriate measures taken. Building anomaly detection techniques automate identifying such instances by leveraging high dimensional data collected installed smart meters. Autoencoders allow for dimensionality reduction also model underlying distribution. However, these...

Building recognition and 3D reconstruction of human made structures in urban scenarios has become an interesting actual topic the image processing domain. For this research Computer Vision Augmented Reality areas intersect for creating a better understanding scenario various topics. In paper we aim to introduce dataset solution, TMBuD, that is fitted on scene scenarios. The proposed will allow ...

Building change detection is important for urban area monitoring, disaster assessment and updating geo-database. 3D information derived from image dense matching or airborne light detection and ranging (LiDAR) is very effective for building change detection. However, combining 3D data from different sources is challenging, and so far few studies have focused on building change detection using b...