Results 81 to 90 of about 25,611,997 (263)

Multi-task learning for simultaneous surface water and burned area mapping from earth observation data

GIScience & Remote Sensing
Multi-task learning has emerged as a promising approach for combining related tasks into a unified framework with reduced computational costs through shared representations.
Aiym Orynbaikyzy, Marc Wieland, Moritz Rösch, Michael Nolde, Sandro Martinis   +4 more
doaj   +1 more source

USING AIRBORNE REMOTE SENSING TO INCREASE SITUATIONAL AWARENESS IN CIVIL PROTECTION AND HUMANITARIAN RELIEF – THE IMPORTANCE OF USER INVOLVEMENT [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Enhancing situational awareness in real-time (RT) civil protection and emergency response scenarios requires the development of comprehensive monitoring concepts combining classical remote sensing disciplines with geospatial information science. In the
H. Römer, R. Kiefl, F. Henkel, C. Wenxi, R. Nippold, F. Kurz, U. Kippnich   +6 more
doaj   +1 more source

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane, Valentina Giunchiglia, Michael C. B. David, Magdalena A. Kolanko, William R. Trender, Peter J. Hellyer, Harmeena Kaur, David J. Sharp, Christopher Carswell, Paresh A. Malhotra, Adam Hampshire   +10 more
wiley   +1 more source

Fusing AVHRR LST With Geostationary SEVIRI LST to Create a Long-Term Daily Maximum LST Time Series Over Europe

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Longtime series of satellite-derived land surface temperature (LST) data are an indispensable resource to study climate and global change. The advanced very high-resolution radiometer (AVHRR) provides thermal infrared measurements, which can be ...
Philipp Reiners, Stefanie Holzwarth, Andreas Dietz, Martin Bachmann, Jose Antonio Sobrino, Claudia Kuenzer   +5 more
doaj   +1 more source

Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova, Jan Smeitink, Herma Renkema, Rosabeth White, Frankie Barton, Rachel Lyon, Jane Newman, Aye Moe, Yi Shiau Ng, Grainne Siobhan Gorman   +9 more
wiley   +1 more source

Exploiting big earth data from space – first experiences with the timescan processing chain

Big Earth Data, 2018
The European Sentinel missions and the latest generation of the United States Landsat satellites provide new opportunities for global environmental monitoring.
T. Esch, S. Üreyen, J. Zeidler, A. Metz–Marconcini, A. Hirner, H. Asamer, M. Tum, M. Böttcher, S. Kuchar, V. Svaton, M. Marconcini   +10 more
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Information extraction using optical and radar remote sensing data fusion [PDF]

, 2012
Information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection.
Palubinskas, Gintautas, Reinartz, Peter, Makarau, Aliaksei   +2 more
core  

Spatio-temporal cross-city comparison using multisensoral remote sensing for Mexican cities [PDF]

, 2011
Our planet is more and more transforming into an urban world, in which the dynamics of urbanization have overcome the ability to govern cities. In a situation of uncoordinated urban growth, regional and urban planning lack technologies and methodologies ...
Taubenböck, Hannes, M. Wegmann, M. Klotz, Klotz, M., Felbier, Andreas, H. Taubenbock, R. Ludwig, Ludwig, Ralf, A. Felbier, Wegmann, Martin   +9 more
core   +1 more source

Multi-spectral remote sensing image registration via spatial relationship analysis on sift keypoints

, 2010
Multi-sensor image registration is a challenging task in remote sensing. Considering the fact that multi-sensor devices capture the images at different times, multi-spectral image registration is necessary for data fusion of the images.
Pickering, Mark R, Jun Zhou, Robles-Kelly, Antonio, Zhou, Jun, Mark R. Pickering, Hasan, Mahmudul, Jia, Xiuping, Mahmudul Hasan, Antonio Robles-Kelly, Xiuping Jia, Pickering, Mark   +10 more
core   +2 more sources