Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Andreas Kamilaris"'
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 142 (2023)
Global Earth observation is becoming increasingly important in understanding and addressing critical aspects of life on our planet, including environmental issues, natural disasters, sustainable development, and others. Finding similarities in landsc
Externí odkaz:
https://doaj.org/article/ed8f860d141c4fdba2d0b905c9bb006f
Publikováno v:
Animal Biotelemetry, Vol 9, Iss 1, Pp 1-10 (2021)
Abstract Background The ability to automatically count animals is important to design appropriate environmental policies and to monitor their populations in relation to biodiversity and maintain balance among species. Out of all living mammals on Ear
Externí odkaz:
https://doaj.org/article/f8416e2d3e604bc1ba74298d65b438d3
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4486 (2021)
Automation, including machine learning technologies, are becoming increasingly crucial in agriculture to increase productivity. Machine vision is one of the most popular parts of machine learning and has been widely used where advanced automation and
Externí odkaz:
https://doaj.org/article/47f51e3e92cc450795f87e68b1b9d84b
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2417 (2021)
Estimating the height of buildings and vegetation in single aerial images is a challenging problem. A task-focused Deep Learning (DL) model that combines architectural features from successful DL models (U-NET and Residual Networks) and learns the ma
Externí odkaz:
https://doaj.org/article/efc1d723344a45178018c029fe1e55d1
Autor:
Andreas Kamilaris, Frank O. Ostermann
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 7, p 269 (2018)
As the Internet of Things (IoT) penetrates our everyday lives, being used to address a wide variety of real-life challenges and problems, the location of things becomes an important parameter. The exact location of measuring the physical world throug
Externí odkaz:
https://doaj.org/article/83ebab046ae54ac0b93249d07365e745
Publikováno v:
Fire Safety Journal, 136:103747. Elsevier
Over the past couple of decades, the number of wildfires and area of land burned around the world has been steadily increasing, partly due to climatic changes and global warming. Therefore, there is a high probability that more people will be exposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::455f07a73b513cc63f271e061c3bd969
https://research.utwente.nl/en/publications/ab6074e1-f9e4-4f93-a2ba-967eaa5b54f5
https://research.utwente.nl/en/publications/ab6074e1-f9e4-4f93-a2ba-967eaa5b54f5
Autor:
Savvas Karatsiolis, Andreas Kamilaris
The widespread use of black-box AI models has raised the need for algorithms and methods that explain the decisions made by these models. In recent years, the AI research community is increasingly interested in models' explainability since black-box
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc9d0aac7ebde3efb5ecc9d8dbd75ec0
http://arxiv.org/abs/2209.08906
http://arxiv.org/abs/2209.08906
Despite the plethora of successful Super-Resolution Reconstruction (SRR) models applied to natural images, their application to remote sensing imagery tends to produce poor results. Remote sensing imagery is often more complicated than natural images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3fca9997646890b3b5a49bc51ee32af
http://arxiv.org/abs/2205.04056
http://arxiv.org/abs/2205.04056
Publikováno v:
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).
Urban waste impacts human and environmental health. Waste management has become one of the major challenges faced by local governing authorities. Illegal dumping has become an important problem in many cities around the world. Effective and fast dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::688f7d8907abb11cdcda3c0d665bd488
https://doi.org/10.1109/percomworkshops53856.2022.9767451
https://doi.org/10.1109/percomworkshops53856.2022.9767451
Publikováno v:
Progress in IS ISBN: 9783030880620
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a54522259efb3c5ece4c84cb8c88156f
https://doi.org/10.1007/978-3-030-88063-7_17
https://doi.org/10.1007/978-3-030-88063-7_17