Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Sandra Lorenz"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104201- (2024)
Detailed knowledge of vegetation patterns allows to evaluate mire ecosystems and their dynamics. The use of hyperspectral information has the benefits of exploring spectral characteristics of species and vegetation modelling. Our study employed multi
Externí odkaz:
https://doaj.org/article/05ab788f53624604828771481cbbab79
Autor:
Samuel T. Thiele, Moritz Kirsch, Sandra Lorenz, Houda Saffi, Safia El Alami, Isabel Cecilia Contreras Acosta, Yuleika Madriz, Richard Gloaguen
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Hyperspectral imaging is gaining widespread use in the resource sector, with applications in mineral exploration, geometallurgy and mine mapping. However, the sheer size of many hyperspectral datasets (>1 Tb) and associated correction, visualisation
Externí odkaz:
https://doaj.org/article/5a001baea24b43b99fce412604662a63
Autor:
Wilfried Yves Hamilton Adoni, Junaidh Shaik Fareedh, Sandra Lorenz, Richard Gloaguen, Yuleika Madriz, Aastha Singh, Thomas D. Kühne
Publikováno v:
Drones, Vol 8, Iss 10, p 575 (2024)
Unmanned Aerial Vehicles (UAVs), commonly known as drones, are omnipresent and have grown in popularity due to their wide potential use in many civilian sectors. Equipped with sophisticated sensors and communication devices, drones can potentially fo
Externí odkaz:
https://doaj.org/article/520fe48ebe9a4eb497c5c29d0ea41d47
Autor:
Rupsa Chakraborty, Imane Rachdi, Samuel Thiele, René Booysen, Moritz Kirsch, Sandra Lorenz, Richard Gloaguen, Imane Sebari
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2089 (2024)
The new generation of satellite hyperspectral (HS) sensors provides remarkable potential for regional-scale mineralogical mapping. However, as with any satellite sensor, mapping results are dependent on a typically complex correction procedure needed
Externí odkaz:
https://doaj.org/article/ea006a872ec242e88f278015d281581a
Autor:
Julia Richter, Sandra Lorenz, Alexandra Kaas, Margret Fuchs, Christian Röder, Urs A. Peuker, Johannes Heitmann, Richard Gloaguen
Publikováno v:
Metals, Vol 14, Iss 2, p 147 (2024)
Considering the increasing demand for Li-ion batteries, there is a need for sophisticated recycling strategies with both high recovery rates and low costs. Applying optical sensors for automating component detection is a very promising approach becau
Externí odkaz:
https://doaj.org/article/a74493be693d4590b0f81759edcea89e
Autor:
Wilfried Yves Hamilton Adoni, Sandra Lorenz, Junaidh Shaik Fareedh, Richard Gloaguen, Michael Bussmann
Publikováno v:
Drones, Vol 7, Iss 4, p 263 (2023)
Uncrewed aerial vehicles (UAVs), also known as drones, are ubiquitous and their use cases extend today from governmental applications to civil applications such as the agricultural, medical, and transport sectors, etc. In accordance with the requirem
Externí odkaz:
https://doaj.org/article/4c49b97ce9a94de59b7ae733618e973f
Autor:
Pedram Ghamisi, Kasra Rafiezadeh Shahi, Puhong Duan, Behnood Rasti, Sandra Lorenz, Rene Booysen, Sam Thiele, Isabel Cecilia Contreras, Moritz Kirsch, Richard Gloaguen
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8971-8988 (2021)
The digitization and automation of the raw material sector is required to attain the targets set by the Paris Agreements and support the sustainable development goals defined by the United Nations. While many aspects of the industry will be affected,
Externí odkaz:
https://doaj.org/article/b19f290e416241e58de2ac16bdafbe6f
Autor:
Sandra Lorenz, Sam T. Thiele, Moritz Kirsch, Gabriel Unger, Robert Zimmermann, Pierpaolo Guarnieri, Nigel Baker, Erik Vest Sørensen, Diogo Rosa, Richard Gloaguen
Publikováno v:
Data, Vol 7, Iss 8, p 104 (2022)
Hyperspectral imaging is an innovative technology for non-invasive mapping, with increasing applications in many sectors. As with any novel technology, robust processing workflows are required to ensure a wide use. We present an open-source hyperclou
Externí odkaz:
https://doaj.org/article/bc56703443924433aceee81619432080
Autor:
Samuel T. Thiele, Zakaria Bnoulkacem, Sandra Lorenz, Aurélien Bordenave, Niccolò Menegoni, Yuleika Madriz, Emmanuel Dujoncquoy, Richard Gloaguen, Jeroen Kenter
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 5 (2021)
While uncrewed aerial vehicles are routinely used as platforms for hyperspectral sensors, their application is mostly confined to nadir imaging orientations. Oblique hyperspectral imaging has been impeded by the absence of robust registration and cor
Externí odkaz:
https://doaj.org/article/96ed7c125c9a41bd81f41115510ad212
Autor:
Robert Jackisch, Sandra Lorenz, Moritz Kirsch, Robert Zimmermann, Laura Tusa, Markku Pirttijärvi, Ari Saartenoja, Hernan Ugalde, Yuleika Madriz, Mikko Savolainen, Richard Gloaguen
Publikováno v:
Remote Sensing, Vol 12, Iss 18, p 2998 (2020)
Mapping geological outcrops is a crucial part of mineral exploration, mine planning and ore extraction. With the advent of unmanned aerial systems (UASs) for rapid spatial and spectral mapping, opportunities arise in fields where traditional ground-b
Externí odkaz:
https://doaj.org/article/c6748279f62a44a2a60b6cb74e3db64d