Generating impact maps from bomb craters automatically detected in aerial wartime images using marked point processes

Autor: Christian Kruse, Dennis Wittich, Franz Rottensteiner, Christian Heipke

Publikováno v: ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 5, Iss , Pp 100017- (2022)

Even more than 75 years after the Second World War, numerous unexploded bombs (duds) linger in the ground and pose a considerable hazard to society. The areas containing these duds are documented in so-called impact maps, which are based on locations

Externí odkaz: https://doaj.org/article/6cfb029b4f534115aa624743db9b2924

Appearance based deep domain adaptation for the classification of aerial images

Autor: Franz Rottensteiner, Dennis Wittich

Publikováno v: ISPRS Journal of Photogrammetry and Remote Sensing. 180:82-102

This paper addresses appearance based domain adaptation for the pixel-wise classification of remotely sensed data using deep neural networks (DNN) as a strategy to reduce the requirements of DNN with respect to the availability of training data. We f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8c6569498d3a8ac5bbc32059265929e
https://doi.org/10.1016/j.isprsjprs.2021.08.004

ADVERSARIAL DISCRIMINATIVE DOMAIN ADAPTATION FOR DEFORESTATION DETECTION

Autor: Dennis Wittich, P. J. Soto, Gilson Alexandre Ostwald Pedro da Costa, J. Noa, Franz Rottensteiner, Raul Queiroz Feitosa

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2021, Pp 151-158 (2021)

Although very efficient in a number of application fields, deep learning based models are known to demand large amounts of labeled data for training. Particularly for remote sensing applications, responding to that demand is generally expensive and t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e24648195e9a16df6ca1683f6149d15e
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2021/151/2021/

From Silk to Digital Technologies: A Gateway to New Opportunities for Creative Industries, Traditional Crafts and Designers. The SILKNOW Case

Autor: María del Mar Moya Toledo, María Dolores Pitarch, Dominic Clermont, Ester Alba Pagán, José Marin Ruiz, Dennis Wittich, Mareike Dorozynski, Pierre Vernus, Maurizio Vitella, Georgia Lo Cicero, Arabella León Muñoz, Franz Rottensteiner, María del Mar Gaitán Salvatella, Marie Puren

Publikováno v: Sustainability
Volume 12
Issue 19
Alba Pagán, Ester Gaitán Salvatella, Mar Pitarch Garrido, María Dolores León Muñoz, Arabella Moya Toledo, María del Mar José Marin Ruiz, José Vitella, Maurizio Lo CiceroGeorgia Rottensteiner, Franz Clermont, Dominic Dorozynski, Mareike Wittich, Dennis Vernus, Pierre Puren, Marie 2020 From Silk to Digital Technologies: A Gateway to New Opportunities for Creative Industries, Traditional Crafts and Designers. The SILKNOW Case Sustainability 12 1 37
RODERIC. Repositorio Institucional de la Universitat de Valéncia
instname
Sustainability, 2020, 12 (19), pp.8279. ⟨10.3390/su12198279⟩
Sustainability, MDPI, 2020, 12 (19), pp.8279. ⟨10.3390/su12198279⟩
Sustainability 12 (2020), Nr. 19
RODERIC: Repositorio Institucional de la Universitat de Valéncia
Sustainability, Vol 12, Iss 8279, p 8279 (2020)

Nowadays, cultural heritage is more than ever linked to the present. It links us to our cultural past through the conscious act of preserving and bequeathing to future generations, turning society into its custodian. The appreciation of cultural heri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81ab5a0b64335952fdeedb50cb355f5c