Results 31 to 40 of about 231,680 (282)

INFLUENCE OF IMAGE INTERPOLATION ON IMAGERY-BASED DETECTION AND COMPENSATION OF SATELLITE JITTER [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Satellite jitter is a common and complicated phenomenon that degrades the geometric quality of high-resolution satellite images. Imagery-based detection and compensation of satellite jitter have recently been widely concerned.
Z. Ye, Z. Ye, Y. Xu, C. Wei, X. Tong, U. Stilla   +5 more
doaj   +1 more source

Optimal pansharpening of RASAT satellite imagery

2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
Pansharpening is a pixel-level fusion technique for increasing the spatial resolution of low-resolution multi-spectral satellite imagery using high resolution panchromatic imagery. In this work, the performance of various pan sharpening algorithms in improving the 7.5 meter resolution of RASAT satellite imagery is compared Nine different pansharpening ...
Teke, Mustafa, Seyfioglu, Mehmet Saygin, Agcal, Arda, Gurbuz, Sevgi Zubeyde   +3 more
openaire   +3 more sources

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Gray whale detection in satellite imagery using deep learning

Remote Sensing in Ecology and Conservation, 2023
The combination of very high resolution (VHR) satellite remote sensing imagery and deep learning via convolutional neural networks provides opportunities to improve global whale population surveys through increasing efficiency and spatial coverage.
Katherine M. Green, Mala K. Virdee, Hannah C. Cubaynes, Angelica I. Aviles‐Rivero, Peter T. Fretwell, Patrick C. Gray, David W. Johnston, Carola‐Bibiane Schönlieb, Leigh G. Torres, Jennifer A. Jackson   +9 more
doaj   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

Transferability of the Deep Learning Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images

Remote Sensing, 2020
State-of-the-art deep learning technology has been successfully applied to relatively small selected areas of very high spatial resolution (0.15 and 0.25 m) optical aerial imagery acquired by a fixed-wing aircraft to automatically characterize ice-wedge ...
Weixing Zhang, Anna K. Liljedahl, Mikhail Kanevskiy, Howard E. Epstein, Benjamin M. Jones, M. Torre Jorgenson, Kelcy Kent   +6 more
doaj   +1 more source

Baseline Regional Cholinergic Denervation Predicts Cognitive Trajectories in Moderate Parkinson Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive decline is a disabling and variable feature of Parkinson disease (PD). While cholinergic system degeneration is linked to cognitive impairments in PD, most prior research reported cross‐sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ...
Taylor Brown, Giulia Carli, Prabesh Kanel, Stiven Roytman, Jaimie Barr, Nicolaas I. Bohnen, Roger L. Albin   +6 more
wiley   +1 more source

User Validation of VIIRS Satellite Imagery

Remote Sensing, 2015
Visible/Infrared Imaging Radiometer Suite (VIIRS) Imagery from the Suomi National Polar-orbiting Partnership (S-NPP) satellite is the finest spatial resolution (375 m) multi-spectral imagery of any operational meteorological satellite to date.
Don Hillger, Tom Kopp, Curtis Seaman, Steven Miller, Dan Lindsey, Eric Stevens, Jeremy Solbrig, William Straka III, Melissa Kreller, Arunas Kuciauskas, Amanda Terborg   +10 more
doaj   +1 more source

A Novel Classification Extension-Based Cloud Detection Method for Medium-Resolution Optical Images

Remote Sensing, 2020
Accurate cloud detection using medium-resolution multispectral satellite imagery (such as Landsat and Sentinel data) is always difficult due to the complex land surfaces, diverse cloud types, and limited number of available spectral bands, especially in ...
Xidong Chen, Liangyun Liu, Yuan Gao, Xiao Zhang, Shuai Xie   +4 more
doaj   +1 more source

FDG‐PET Associations With Disease Severity and Outcomes in NMDA‐Receptor IgG Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Patients with N‐methyl‐D‐aspartate (NMDA) receptor‐immunoglobulin G (IgG) autoimmune encephalitis (NMDAR‐IgG AE) demonstrate occipital lobe hypometabolism on baseline brain fluorodeoxyglucose‐positron emission tomography (bFDG‐PET).
Jonathan K. Lee, Jeffrey Lambe, Scott Johnson, Akua Abrah, Jennifer Bullen, Jeffrey A. Cohen, Tatchaporn Ongphichetmetha, Amy Kunchok   +7 more
wiley   +1 more source