Results 41 to 50 of about 12,912,851 (287)

Remote Sensing Image Information Quality Evaluation via Node Entropy for Efficient Classification

, 2022
Combining remote sensing images with deep learning algorithms plays an important role in wide applications. However, it is difficult to have large-scale labeled datasets for remote sensing images because of acquisition conditions and costs.
Yue Yang, Jiachen Yang, Yang Li, Wen, Jiabao, Sezai Ercisli, ERCİŞLİ, Sezai, Li, Yang, Jiabao Wen, Yang, Jiachen, Yang, Yue   +9 more
core   +1 more source

Remote Sensing Image Target Detection and Recognition Based on YOLOv5

, 2023
The main task of remote sensing image target detection is to locate and classify the targets of interest in remote sensing images, which plays an important role in intelligence investigation, disaster relief, industrial application, and other fields ...
Zixiang Gong, Wenyin Gong, Xiaodong Liu, Lianlian Shang, Xiang Li   +4 more
core   +1 more source

Multimodal Remote Sensing Image Matching Considering Structural Saliency

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Nonlinear radiometric distortion, orientation reversal, and image rotation considerably affect multimodal image matching performance in remote sensing. Furthermore, existing multimodal image matching algorithms are highly complex and inefficient.
Li Xue, Yehua Sheng, Shuwen Yang, Xiangqiang Min, Xiu Lu   +4 more
doaj   +1 more source

Fusion of optical and radar remote sensing data: Munich city example [PDF]

, 2010
Fusion of optical and radar remote sensing data is becoming an actual topic recently in various application areas though the results are not always satisfactory.
Palubinskas, Gintautas, Reinartz, Peter
core  

Subclinical Optic Nerve Involvement in Radiologically Isolated Syndrome: Multimodal Detection and Diagnostic Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay, Cassandre Landes‐Château, Lydiane Mondot, Mikael Cohen, Margherita Popolo, Jérôme de Seze, Bertrand Bourre, Françoise Durand‐Dubief, Olivier Casez, Orhun H. Kantarci, Aksel Siva, Stephanie Baillif, Darin T. Okuda, Letizia Leocani   +13 more
wiley   +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

Distribution Consistency Loss for Large-Scale Remote Sensing Image Retrieval

, 2020
Remote sensing images are featured by massiveness, diversity and complexity. These features put forward higher requirements for the speed and accuracy of remote sensing image retrieval.
Hongwei Zhao, Haoyu Zhao, Lili Fan
core   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
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, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Efficient Spatial-Channel Spiking Neural Network for Multimodal Remote Sensing Data Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multimodal remote sensing data always comprise hyperspectral image, light detection and ranging data, and synthetic-aperture radar. Different modalities supply complementary information that improves accuracy for multimodal remote sensing classification.
Xin He, Yaqin Zhao, Yushi Chen, Limin Zou   +3 more
doaj   +1 more source

Regulated Ion‐Diffusion Hydrogels for Subtle and Multimodal Temperature‐Strain Sensing in Wound Monitoring

Advanced Functional Materials, EarlyView.
A soft, dual‐channel hydrogel patch enables simultaneous detection of wound temperature and strain by integrating ion‐diffusion‐mediated thermoelectric and resistive sensing. The conformal design maintains stable performance during motion, capturing subtle inflammatory and mechanical changes for continuous wound monitoring.
Yu Fang, Xinglong Pan, Zhiwei Li, Wanheng Lu, Chang Liu, Yi Zhou, Guo Tian, Ghim Wei Ho   +7 more
wiley   +1 more source