Sentence examples for detection of building from inspiring English sources

This paper presents a new approach for the damage detection of building structures under ambient excitation based on the inherent modal characteristics.

A new stochastic damage detection method is therefore proposed in this paper for damage detection of building structures with parametric uncertainties.

Detection of building objects in airborne LiDAR data is an essential task in many types of geospatial data applications such as urban reconstruction and damage assessment.

These findings are in agreement with the hypothesis that T. reesei senses the presence of plant cell wall material in its environment by detection of building blocks of cellulose and hemicellulose.

This paper presents a generic framework that exploits recent advances in image segmentation and region descriptors extraction for the automatic and accurate detection of buildings on aerial orthophotos.

In this study, we propose a novel methodology for automated detection of buildings from single very-high-resolution (VHR) multispectral images.

The methodology described here allows for continuous temporal health monitoring, robust model updating as well as post-earthquake damage detection of buildings.

Moreover, it is not needed to annotate and link all the map as in (Vogt et al. 2012) as this work relies on raster's ASCII codes for the automatic detection of buildings and pathways.

A previous study has demonstrated that the sensitivity and specificity for detection of buildings with fungi are very high [ 19] and the possible confounding sources of NAHA did not play an important role.

Today, by comparing the surface and dew point temperature, thermal cameras enable 2D detection of those building areas that suffer from condensation issues (Hoff [2011]).

Moreover, we introduce a principled evaluation that allows selecting the best pair segmentation algorithm-region descriptor for the task of building detection.