This paper is focused on the urban edge detection topic, i.e. the identification of building and man made structures edges. An approach able to exploit jointly both the amplitudes and the interferometric phase of two complex SAR images is considered. This work is mainly focused on the application of this technique to real data sets. In particular, first experiments on COSMO-SkyMed data over the...

Detecting buildings in remotely sensed data plays an important role for urban analysis and geographical information systems. This study proposes a hierarchical approach for extracting buildings from very high resolution (9 cm GSD (Ground Sampling Distance)), multi-spectral aerial images and matched DSMs (Digital Surface Models). There are three steps in the proposed method: first, shadows are d...

The detection of thermal insulation failures in buildings in operation responds to the challenge of improving building energy efficiency. This multidisciplinary study presents a novel four-step soft computing knowledge identification model called IKBIS to perform thermal insulation failure detection. It proposes the use of Exploratory Projection Pursuit methods to study the relation between inp...

Building edge detection is a task of increasing importance in last decays. In this paper we propose a novel approach to handle this problem using jointly both SAR amplitude and phase data. The technique is based on a stochastic estimation and on Markov Random Field (MRF). The algorithm computes the building edge map looking for the discontinuities of both phase and reflectivity using jointly th...

The paper presents a comprehensive method for automated extraction and delineation of building outlines in densely built-up areas. A novel approach to outline reconstruction is the use of geocoded building address points. They give information about building location thus highly reduce task complexity. Reconstruction process is executed on 3D point clouds acquired by airborne laser scanner. The...

In this paper we derive a general model and reliable identification procedures that can be applied autonomously for online forecasting of wall, zone, and whole building transient thermal responses. Several important aspects of building HVAC operation—fault detection, curtailment, verification, model-based control, and commissioning—are enabled or facilitated by use of accurate building-specific...

Change extraction of building is needed to revise building data effectively. Many change detection algorithms use height difference analysis using temporal data such as LIDAR. However, remarkable changes of buildings cannot be detected in urban dense areas. On the other hand, building textures might change with higher possibility. However, the change cannot be detected due to influences of shad...

In this paper we describe anomaly-based intrusion detection as a specialized case of the more general behavior detection problem. We draw concepts from the field of ethology to help us describe and characterize behavior and interactions. We briefly introduce a general framework for behavior detection and an algorithm for building a Markov-based model of behavior. We then apply the framework cre...

We show that the mathematical relation between non-abelian anomalies in 2n dimensions, the parity anomaly in 2n + 1 dimensions, and the Dirac index density in 2n + 2 dimensions can be unders tood in terms of the physics of fermion zero modes on strings and domain walls. We show that the Dirac equation possesses chiral zero modes in the presence of strings in 2n +2 dimensions (such as occur in a...

Contemporary office buildings commonly experience changes in occupancy patterns and needs due to changes in business practice and personal churns. Hence, it is important to understand and accurately capture the information of such trends for applications in building design and subsequent building operations. Detection of occupant presence has been used extensively in built environments for appl...