Object-Based Ensemble Learning for Pan-European Riverscape Units Mapping Based on Copernicus VHR and EU-DEM Data Fusion

Autor: Luca Demarchi, Wouter van de Bund, Alberto Pistocchi

Publikováno v: Remote Sensing, Vol 12, Iss 7, p 1222 (2020)

Recent developments in the fields of geographical object-based image analysis (GEOBIA) and ensemble learning (EL) have led the way to the development of automated processing frameworks suitable to tackle large-scale problems. Mapping riverscape units

Externí odkaz: https://doaj.org/article/6f2d14470c4f42e79721932e41b7eaf9

Time-gated Raman spectroscopy as mineral analysis tool in multi-sensor Ancorelog drill core logger

Autor: Havisto, Jari, Lindström, Hannu, Uusitalo, Sanna, Heilala, Bryan, Muller, Simon, Pons Perez, Juan Manuel, Garcia Pina, Carlos

Publikováno v: Havisto, J, Lindström, H, Uusitalo, S, Heilala, B, Muller, S, Pons Perez, J M & Garcia Pina, C 2021, Time-gated Raman spectroscopy as mineral analysis tool in multi-sensor Ancorelog drill core logger . in 11th International Conference on Advanced Vibrational Spectroscopy : Abstract Book . pp. 198, 11th International Conference on Advanced Vibrational Spectroscopy, ICAVS 11, 23/08/21 . < https://icavs.org/public/files/1ABSTRACT_BOOK_ICAVS.pdf >

Modern mining industry undergoes extensive drilling campaigns during exploration, mining, processing and recycling of raw materials. There is a growing demand for more precise and automated digital processes to reduce the needed time, cost and labour

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=355e65625b88::c63052eed9c2ee8e6dd3bc68542c9571
https://cris.vtt.fi/en/publications/1e18803b-1ef7-4a2c-bd3b-69deb9694c81

Object-Based Ensemble Learning for Pan-European Riverscape Units Mapping Based on Copernicus VHR and EU-DEM Data Fusion

Autor: Wouter van de Bund, Alberto Pistocchi, Luca Demarchi

Publikováno v: Remote Sensing, Vol 12, Iss 1222, p 1222 (2020)
Remote Sensing; Volume 12; Issue 7; Pages: 1222

Recent developments in the fields of geographical object-based image analysis (GEOBIA) and ensemble learning (EL) have led the way to the development of automated processing frameworks suitable to tackle large-scale problems. Mapping riverscape units

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7e0781040c29f5e6677a52a38654bfe
https://doi.org/10.3390/rs12071222

Evaluation and commissioning of a surface based system for respiratory sensing in 4D CT

Autor: George T.Y. Chen, Guido Baroni, Maria Francesca Spadea, Gregory C. Sharp, J Turcotte, David P. Gierga

Publikováno v: Journal of Applied Clinical Medical Physics

The purpose of this study is to assess the temporal and reconstruction accuracy of a surface imaging system, the GateCT under ideal conditions, and compare the device with a commonly used respiratory surrogate: the Varian RPM. A clinical CT scanner,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0673a1e3fc23d70e55cf71bae9824ccb
http://europepmc.org/articles/PMC5718580

Visual analysis of time-series similarities for anomaly detection in sensor networks

Autor: Steiger, Martin, Bernard, Jürgen, Mittelstädt, Sebastian, Lücke-Tieke, Hendrik, Keim, Daniel A., May, Thorsten, Kohlhammer, Jörn

We present a system to analyze time-series data in sensor networks. Our approach supports exploratory tasks for the comparison of univariate, geo-referenced sensor data, in particular for anomaly detection. We split the recordings into fixed-length p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::10381310ed1cb9b330e32a7dbe423761
https://publica.fraunhofer.de/handle/publica/237329