Results 71 to 80 of about 3,858,794 (311)

A new super resolution method based on combined sparse representations for remote sensing imagery

open access: yes, 2013
While developing high resolution payloads, it is also necessary to make full use of the present spaceborne/airborne payload resources by super resolution (SR). SR is a technique of restoring a high spatial resolution image from a series of low resolution
JunBin Gao   +9 more
core   +1 more source

A co-occurrence region based Bayesian network stepwise remote sensing image retrieval algorithm

open access: yesEarth Sciences Research Journal, 2018
Although scholars have conducted numerous researches on content-based image retrieval and obtained great achievements, they make little progress in studying remote sensing image retrieval. Both theoretical and application systems are immature.
Rui Zeng, Yingyan Wang, Wanliang Wang
doaj   +1 more source

Advancing Stroke Clinical Trials Using Community Engagement and Implementation Science Approaches

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Stroke clinical trials are essential for advancing stroke care but can face challenges with recruitment, retention, clinical relevance, and translation into real‐world practice. We propose that integrating community engagement and implementation science approaches into stroke trials can help address these needs.
Lesli E. Skolarus   +2 more
wiley   +1 more source

Remote Sensing of Water Quality in Rotorua and Waikato Lakes [PDF]

open access: yes, 2008
Remote sensing has the potential to monitor spatial variation in water quality over large areas. While ocean colour work has developed analytical bio-optical water quality retrieval algorithms for medium spatial resolution platforms, remote sensing of ...
Allan, Mathew Grant
core  

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

open access: yesAnnals 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   +17 more
wiley   +1 more source

Traffic congestion parameter estimation in time series of airborne optical remote sensing images [PDF]

open access: yes, 2009
In this paper we propose a new model based traffic parameter estimation approach in congested situations in time series of airborne optical remote sensing data.
Palubinskas, Gintautas   +2 more
core  

YOLO-HR: Improved YOLOv5 for Object Detection in High-Resolution Optical Remote Sensing Images

open access: yes, 2023
Object detection is essential to the interpretation of optical remote sensing images and can serve as a foundation for research into additional visual tasks that utilize remote sensing.
Xianli Lang   +5 more
core   +1 more source

The Price of Precision: A Critical Review of Molecular Diagnostics in Glioma, From Guidelines to Global Disparities

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Gliomas have undergone a profound redefinition over the past decade, transitioning from morphology‐based entities to biologically coherent diseases defined by molecular alterations. The 2021 WHO Classification of Tumors of the Central Nervous System and its 2022 update formalize this shift, establishing integrated diagnosis as the global ...
Maria Guarnaccia, Sebastiano Cavallaro
wiley   +1 more source

Remote sensing image description based on word embedding and end-to-end deep learning

open access: yesScientific Reports, 2021
This study proposes an end-to-end image description generation model based on word embedding technology to realise the classification and identification of Populus euphratica and Tamarix in complex remote sensing images by providing descriptions in ...
Yuan Wang   +3 more
doaj   +1 more source

Hierarchical Segmentation of Multiresolution Remote Sensing Images [PDF]

open access: yes, 2011
The extraction of urban patterns from very high spatial resolution optical images presents challenges related to the size, the accuracy and the complexity of the data. In order to efficiently carry out this task, a multiresolution hierarchical approach is proposed. It enables to progressively segment several images (of increasing resolutions) of a same
Kurtz, Camille   +3 more
openaire   +3 more sources

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