Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Bento Collares Gonçalves"'
Autor:
Heather J. Lynch, Matteo Turilli, Ioannis Paraskevakos, Aymen Al-Saadi, Shantenu Jha, Bento Collares Gonçalves
Publikováno v:
Future Generation Computer Systems. 124:315-329
Very High Resolution satellite and aerial imagery are used to monitor and conduct large scale surveys of ecological systems. Convolutional Neural Networks have successfully been employed to analyze such imagery to detect large animals and salient fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b58f9e2f43814f7972f4769edaf35dd0
https://doi.org/10.1016/j.future.2021.04.023
https://doi.org/10.1016/j.future.2021.04.023
Publikováno v:
Remote Sensing; Volume 13; Issue 18; Pages: 3562
Remote Sensing, Vol 13, Iss 3562, p 3562 (2021)
Remote Sensing, Vol 13, Iss 3562, p 3562 (2021)
Fine-scale sea ice conditions are key to our efforts to understand and model climate change. We propose the first deep learning pipeline to extract fine-scale sea ice layers from high-resolution satellite imagery (Worldview-3). Extracting sea ice fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c83262e08a8eb8f634e925cda0b6b3b
Autor:
Helen Eifert, Shantenu Jha, Aymen Al-Saadi, Bradley D. Spitzbart, Matteo Turilli, Ioannis Paraskevakos, Heather J. Lynch, Mark R. Salvatore, Samira Daneshgar Asl, Brian Szutu, Bento Collares Gonçalves
The ICEBERG (Imagery Cyber-infrastructure and Extensible Building blocks to Enhance Research in the Geosciences) project (NSF 1740595) aims to (1) develop open source image classification tools tai...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3af9403e07095d4060680b6ce9a9b55b
https://doi.org/10.1002/essoar.10503479.1
https://doi.org/10.1002/essoar.10503479.1
Autor:
Shantenu Jha, Heather J. Lynch, Ioannis Paraskevakos, Matteo Turilli, Bento Collares Gonçalves
Publikováno v:
eScience
Ecological sciences are using imagery from a variety of sources to monitor and survey populations and ecosystems. Very High Resolution (VHR) satellite imagery provide an effective dataset for large scale surveys. Convolutional Neural Networks have su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d99282295bede6e23e22c8a23f4658e
https://doi.org/10.1109/escience.2019.00013
https://doi.org/10.1109/escience.2019.00013
Publikováno v:
Revista Brasileira de Ornitologia. 24:217-227
This study aims to uncover patterns of species identification error in bioacoustic surveys of central Amazon birds. To quantify errors, we developed an on-line quiz based on vocalizations of an undisclosed set of 41 antbird (Thamnophilidae) and woodc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2a3329bd6ee7d8c907800c58e8e8694
https://doi.org/10.1007/bf03544350
https://doi.org/10.1007/bf03544350
Publikováno v:
Remote Sensing of Environment. 239:111617
Antarctic pack-ice seals, a group of four species of true seals (Phocidae), play a pivotal role in the Southern Ocean foodweb as wide-ranging predators of Antarctic krill (Euphausia superba). Due to their circumpolar distribution and the remoteness a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47b14d164be27804175bba1ca8f54b01
https://doi.org/10.1016/j.rse.2019.111617
https://doi.org/10.1016/j.rse.2019.111617