Results 61 to 70 of about 11,780,635 (338)

Lightweight Unsupervised Homography Estimation for Infrared and Visible Images Based on UAV Perspective Enabling Real-Time Processing in Space–Air–Ground Integrated Network

open access: yesRemote Sensing
Homography estimation of infrared and visible light images is a key visual technique that enables drones to perceive their environment and perform autonomous localization in low-altitude environments. Its potential lies in integration with edge computing
Yanhao Liao   +5 more
doaj   +1 more source

Roughness Analysis of Sea Surface From Visible Images by Texture

open access: yesIEEE Access, 2020
This paper presents a roughness analysis of sea surface from visible images by feature measurements of texture for the first time. The algorithms presented in this paper include six texture feature measurements of sea surface use gray level co-occurrence
Hai-Lang Pan   +5 more
semanticscholar   +1 more source

Feature Point Matching Method Based on Consistent Edge Structures for Infrared and Visible Images

open access: yesApplied Sciences, 2020
Infrared and visible image match is an important research topic in the field of multi-modality image processing. Due to the difference of image contents like pixel intensities and gradients caused by disparate spectrums, it is a great challenge for ...
Qi Wang   +4 more
semanticscholar   +1 more source

SiamFT: An RGB-Infrared Fusion Tracking Method via Fully Convolutional Siamese Networks

open access: yesIEEE Access, 2019
Object tracking based on visible images may fail when the visible images are unreliable, for example when the illumination condition is poor. Infrared images reveal thermal radiation of objects and are insensitive to these factors.
Xingchen Zhang   +5 more
doaj   +1 more source

Enhanced target tracking algorithm for autonomous driving based on visible and infrared image fusion

open access: yesJournal of Intelligent and Connected Vehicles, 2023
In autonomous driving, target tracking is essential to environmental perception. The study of target tracking algorithms can improve the accuracy of an autonomous driving vehicle’s perception, which is of great significance in ensuring the safety of ...
Quan Yuan   +5 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan   +18 more
wiley   +1 more source

MMMF: Mask-Decoupled Multiscale Mamba Fusion Framework for SAR and Visible Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The inherent differences in the imaging mechanisms of synthetic aperture radar (SAR) and visible sensors result in substantial disparities in their modality characterization, posing significant challenges for achieving high-quality image fusion.
Yunzhong Yan   +4 more
doaj   +1 more source

Palm-Vein Verification Using Images From the Visible Spectrum

open access: yesIEEE Access, 2021
In this paper, we investigate into utilization of images from the visible light (RGB) spectrum for identity verification based on the palm-veins.
Sungchul Cho   +3 more
doaj   +1 more source

Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators

open access: yesInternational Joint Conference on Artificial Intelligence, 2019
In this paper, we propose a new end-to-end model, called dual-discriminator conditional generative adversarial network (DDcGAN), for fusing infrared and visible images of different resolutions.
Han Xu   +4 more
semanticscholar   +1 more source

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