Results 71 to 80 of about 3,972,386 (310)
Description Generation for Remote Sensing Images Using Attribute Attention Mechanism
Image captioning generates a semantic description of an image. It deals with image understanding and text mining, which has made great progress in recent years.
Xin Wang +4 more
core +1 more source
Endothelial Cell Proteins as Biomarkers in Susac Syndrome
ABSTRACT Objective Susac syndrome (SS) is a rare CD8+ T cell–mediated microangiopathy affecting the brain, retina, and auditory labyrinth. Endothelial injury is thought to be a central mechanism; however, no circulating disease biomarkers are known. We performed targeted proteomic profiling to identify circulating endothelial‐associated proteins as ...
Rohit Benjamin +11 more
wiley +1 more source
ABSTRACT Objective Blood biomarkers are increasingly critical for non‐invasive Alzheimer's Disease (AD) diagnostics and research but typically require on‐site processing. Remote point‐of‐care collection methods could enhance biomarker testing in clinical and research settings.
Sara Ho +9 more
wiley +1 more source
Remote sensing image description based on word embedding and end-to-end deep learning
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]
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
A new super resolution method based on combined sparse representations for remote sensing imagery
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
Association Between Neurofilament Light Chain and Real‐World Ambulatory Function in Progressive MS
ABSTRACT Objective Neurofilament light chain (NfL) is a biomarker of neuroaxonal injury in multiple sclerosis (MS), yet associations with functional outcomes remain unclear. Longitudinal associations between serum NfL (sNfL) and daily step count (STEPS) from wearable devices were assessed in a large international progressive MS cohort.
Gabby B. Joseph +5 more
wiley +1 more source
IMAGE QUATY ASSESSMENT FOR VHR REMOTE SENSING IMAGE CLASSIFICATION [PDF]
The data from remote sensing images are widely used for characterizing land use and land cover at present. With the increasing availability of very high resolution (VHR) remote sensing images, the remote sensing image classification becomes more and more
Z. Li +5 more
doaj +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Enhancing Remote Sensing Image Resolution Using Convolutional Neural Networks
Remote sensing imagery is a very interesting topic for researchers, especially in the fields of image and pattern recognition. Remote sensing images differ from ordinary images taken with conventional cameras.
Julian Supardi +4 more
doaj +1 more source

