Zobrazeno 1 - 10
of 197
pro vyhledávání: '"Norman Kerle"'
Publikováno v:
Drones, Vol 8, Iss 2, p 33 (2024)
Autonomous navigation of drones using computer vision has achieved promising performance. Nano-sized drones based on edge computing platforms are lightweight, flexible, and cheap; thus, they are suitable for exploring narrow spaces. However, due to t
Externí odkaz:
https://doaj.org/article/d62acadd55dd4cc59a4253fdbcac55fb
Publikováno v:
GIScience & Remote Sensing, Vol 57, Iss 5, Pp 670-686 (2020)
Remote sensing images have long been recognized as useful for the detection of building damages, mainly due to their wide coverage, revisit capabilities and high spatial resolution. The majority of contributions aimed at identifying debris and rubble
Externí odkaz:
https://doaj.org/article/5a7269867f45434fa7c6c0e673db94be
Publikováno v:
Geo-spatial Information Science, Vol 23, Iss 2, Pp 165-181 (2020)
Geospatial information acquired with Unmanned Aerial Vehicles (UAV) provides valuable decision-making support in many different domains, and technological advances coincide with a demand for ever more sophisticated data products. One consequence is a
Externí odkaz:
https://doaj.org/article/ea4c9204c521441a8cb722f329b90a6a
Publikováno v:
Drones, Vol 6, Iss 11, p 352 (2022)
Unmanned aerial vehicles offer a safe and fast approach to the production of three-dimensional spatial data on the surrounding space. In this article, we present a low-cost SLAM-based drone for creating exploration maps of building interiors. The foc
Externí odkaz:
https://doaj.org/article/4bc2f69cb3fc4cd699bd320b056abf4d
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4008 (2022)
Consumer-grade Unmanned Aerial Vehicles (UAVs) are poorly suited to monitor complex scenes where multiple analysis tasks need to be carried out in real-time and in parallel to fulfil time-critical requirements. Therefore, we developed an innovative U
Externí odkaz:
https://doaj.org/article/77418dd3eb664a2aabf992679cff828a
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 2977 (2022)
Human detection in images using deep learning has been a popular research topic in recent years and has achieved remarkable performance. Training a human detection network is useful for first responders to search for trapped victims in debris after a
Externí odkaz:
https://doaj.org/article/53810588f0b24d70887782f5a86c01a2
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4193 (2020)
We present an unsupervised deep learning approach for post-disaster building damage detection that can transfer to different typologies of damage or geographical locations. Previous advances in this direction were limited by insufficient qualitative
Externí odkaz:
https://doaj.org/article/b0ee76500f5643929fe0fe4b23dc95c8
Publikováno v:
Applied Sciences, Vol 10, Iss 13, p 4574 (2020)
Post-disaster recovery is a complex process in terms of measuring its progress after a disaster and understanding its components and influencing factors. During this process, disaster planners and governments need reliable information to make decisio
Externí odkaz:
https://doaj.org/article/50967000a3224d77999b8ff6662fa94e
Publikováno v:
Sensors, Vol 20, Iss 3, p 678 (2020)
It remains elusive why there was only weak and limited ground shaking in Kathmandu valley during the 25 April 2015 Mw 7.8 Gorkha, Nepal, earthquake. Our spectral element numerical simulations show that, during this earthquake, surface topography rest
Externí odkaz:
https://doaj.org/article/110fb4e3575949a399812f48ec43da0a
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 1, p 14 (2019)
Structural disaster damage detection and characterization is one of the oldest remote sensing challenges, and the utility of virtually every type of active and passive sensor deployed on various air- and spaceborne platforms has been assessed. The pr
Externí odkaz:
https://doaj.org/article/09a853afe9914862b2fb3c154518d67f