Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Savvas Karatsiolis"'
Publikováno v:
Remote Sensing, Vol 16, Iss 23, p 4611 (2024)
Forest ecosystems play an essential role in ecological balance, supporting biodiversity and climate change mitigation. These ecosystems are crucial not only for ecological stability but also for the local economy. Performing a tree census at a countr
Externí odkaz:
https://doaj.org/article/3bc5d5340ad04d24af5ac3aaa8e2c15e
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 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
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
Despite the plethora of successful super-resolution (SR) 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 i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::91d4d9e4b400018a8c96f6bd9b8c3e52
https://zenodo.org/record/7587035
https://zenodo.org/record/7587035
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
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
Autor:
Andreas Kamilaris, Savvas Karatsiolis
Publikováno v:
ICPRAM
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods
A challenge of the computer vision community is to understand the semantics of an image that will allow for higher quality image generation based on existing high-level features and better analysis of (semi-) labeled datasets. Categorical labels aggr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6842d1a675034b10697eebeb275ca76e
https://doi.org/10.5220/0010375801070119
https://doi.org/10.5220/0010375801070119