Results 31 to 40 of about 14,119,160 (332)

Double-channel cascade-based generative adversarial network for power equipment infrared and visible image fusion

open access: yesEAI Endorsed Transactions on Scalable Information Systems, 2021
At present, visible light imaging sensor and infrared imaging sensor are two commonly used sensors, which are widely used in aviation, navigation and other military fields of detection, monitoring and tracking. Due to their different working principles,
Jihong Wang, Haiyan Yu
doaj   +1 more source

Learning to "Segment Anything" in Thermal Infrared Images through Knowledge Distillation with a Large Scale Dataset SATIR [PDF]

open access: yesarXiv.org, 2023
The Segment Anything Model (SAM) is a promptable segmentation model recently introduced by Meta AI that has demonstrated its prowess across various fields beyond just image segmentation.
Junzhang Chen, Xiangzhi Bai
semanticscholar   +1 more source

Monitoring Wheat Powdery Mildew Based on Hyperspectral, Thermal Infrared, and RGB Image Data Fusion

open access: yesItalian National Conference on Sensors, 2021
Powdery mildew severely affects wheat growth and yield; therefore, its effective monitoring is essential for the prevention and control of the disease and global food security.
Ziheng Feng   +6 more
semanticscholar   +1 more source

Infrared Image Super-Resolution: A Systematic Review and Future Trends [PDF]

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Image super-resolution (SR) is a fundamental task in computer vision and image processing. The challenge of super-resolving infrared (IR) or thermal images represents a key and persistent research frontier in the deep learning era. Different from visible-
Y. Huang   +3 more
semanticscholar   +1 more source

Research on key technologies of unmanned aerial vehicle monitoring of coalfield fire

open access: yesGong-kuang zidonghua, 2019
In view of problems of short endurance time, long period of data collection, low accuracy of infrared thermal image and slow data transmission and processing of existing technologies of unmanned aerial vehicle(UAV) monitoring of coalfield fire, UAV ...
JIA Yongxiao   +4 more
doaj   +1 more source

Importance of Image Enhancement and CDF for Fault Assessment of Photovoltaic Module Using IR Thermal Image

open access: yesApplied Sciences, 2021
Infrared thermography is the science of measuring the infrared energy emitted by an object, translating it to apparent temperature variance, and displaying the result as an infrared image.
Bubryur Kim   +3 more
doaj   +1 more source

Silicon photonic crystal thermal emitter at near-infrared wavelengths [PDF]

open access: yes, 2015
This work was supported by the EPSRC Programme Grant “Structured Light” EP/J01771X/1.Controlling thermal emission with resonant photonic nanostructures has recently attracted much attention.
O'Regan, Bryan   +2 more
core   +1 more source

Research on Performance Evaluation and Optimization Theory for Thermal Microscope Imaging Systems

open access: yesApplied Sciences, 2021
Infrared imaging theory is an important theoretical basis for the design of infrared imaging systems, but there is no research on infrared imaging theory for designing thermal microscope imaging systems.
Bozhi Zhang   +6 more
doaj   +1 more source

Dairy Cow Mastitis Detection by Thermal Infrared Images Based on CLE-UNet

open access: yesAnimals, 2023
Simple Summary Mastitis is one of the most serious diseases in dairy husbandry, and its timely detection is critical for improving the efficiency of treatment and reducing breeding risks.
Qian Zhang   +4 more
semanticscholar   +1 more source

TIRDet: Mono-Modality Thermal InfraRed Object Detection Based on Prior Thermal-To-Visible Translation

open access: yesACM Multimedia, 2023
Cross-modality images that combine visible-infrared spectra can provide complementary information for object detection. In particular, they are well-suited for autonomous vehicle applications in dark environments with limited illumination. However, it is
Ze-Yu Wang   +5 more
semanticscholar   +1 more source

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