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Nanophotonic Image Sensors

open access: yesSmall, 2016
The increasing miniaturization and resolution of image sensors bring challenges to conventional optical elements such as spectral filters and polarizers, the properties of which are determined mainly by the materials used, including dye polymers. Recent developments in spectral filtering and optical manipulating techniques based on nanophotonics have ...
Qin Chen, Xin Hu, Long Wen
exaly   +3 more sources

Image Sensors for Wave Monitoring in Shore Protection: Characterization through a Machine Learning Algorithm [PDF]

open access: yesSensors, 2021
Waves propagating on the water surface can be considered as propagating in a dispersive medium, where gravity and surface tension at the air–water interface act as restoring forces. The velocity at which energy is transported in water waves is defined by
Aimé Lay-Ekuakille   +6 more
doaj   +2 more sources

A Review of Image Sensors Used in Near-Infrared and Shortwave Infrared Fluorescence Imaging [PDF]

open access: yesSensors
To translate near-infrared (NIR) and shortwave infrared (SWIR) fluorescence imaging into the clinic, the paired imaging device needs to detect trace doses of fluorescent imaging agents.
Banghe Zhu, Henry Jonathan
doaj   +2 more sources

Review of CMOS image sensors [PDF]

open access: yesMicroelectronics Journal, 2006
Abstract The role of CMOS Image Sensors since their birth around the 1960s, has been changing a lot. Unlike the past, current CMOS Image Sensors are becoming competitive with regard to Charged Couple Device (CCD) technology. They offer many advantages with respect to CCD, such as lower power consumption, lower voltage operation, on-chip functionality
E Cabruja   +2 more
exaly   +2 more sources

EVALUATING GEOMETRY OF AN INDOOR SCENARIO WITH OCCLUSIONS BASED ON TOTAL STATION MEASUREMENTS OF WALL ELEMENTS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Scan2BIM approaches, i.e. the automated reconstruction of building models from point cloud data, is typically evaluated against the same point clouds which are used as input for the reconstruction process.
J. Schmidt   +4 more
doaj   +1 more source

Optical and SAR Image Registration Based on the Phase Congruency Framework

open access: yesApplied Sciences, 2023
The improved phase congruency (PC) algorithms have been successfully applied to optical and synthetic aperture radar (SAR) image registration since they are insensitive to nonlinear radiometric and geometric differences.
Zhihua Xie   +4 more
doaj   +1 more source

THE DETECTION OF CONCEALED TARGETS IN WOODLAND AREAS USING HYPERSPECTRAL IMAGERY [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Recent innovations in microelectronic and semiconductor technology enable the creation of smaller and economical hyperspectral cameras. A filter combined camera with advanced scanning module is a game changer that extends the application of miniature ...
S. A. Rodriguez Gonzalez   +6 more
doaj   +1 more source

Ultrasonic Imaging and Sensors

open access: yesSensors, 2022
Ultrasound imaging is a wide research field, covering areas from wave propagation physics, sensors and front-end electronics to image reconstruction algorithms and software [...]
Jorge Camacho   +2 more
openaire   +4 more sources

Gradient-Based Metrics for the Evaluation of Image Defogging

open access: yesWorld Electric Vehicle Journal, 2023
Fog, haze, or smoke are standard atmospheric phenomena that dramatically compromise the overall visibility of any scene, critically affecting features such as the illumination, contrast, and contour detection of objects.
Gerard deMas-Giménez   +3 more
doaj   +1 more source

On Combining Convolutional Autoencoders and Support Vector Machines for Fault Detection in Industrial Textures

open access: yesSensors, 2021
Defects in textured materials present a great variability, usually requiring ad-hoc solutions for each specific case. This research work proposes a solution that combines two machine learning-based approaches, convolutional autoencoders, CA; one class ...
Alberto Tellaeche Iglesias   +3 more
doaj   +1 more source

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