Results 31 to 40 of about 6,292,229 (390)
A Novel Perceptual Hash Algorithm for Multispectral Image Authentication
Algorithms, 2018 The perceptual hash algorithm is a technique to authenticate the integrity of images. While a few scholars have worked on mono-spectral image perceptual hashing, there is limited research on multispectral image perceptual hashing.
Kaimeng Ding, Shiping Chen, Fan Meng
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IEEE Journal on Selected Topics in Signal Processing, 2020 Coupled tensor approximation has recently emerged as a promising approach for the fusion of hyperspectral and multispectral images, reconciling state of the art performance with strong theoretical guarantees.
R. Borsoi +5 more
semanticscholar +1 more source
Multisensor Super Resolution Using Directionally-Adaptive Regularization for UAV Images
Sensors, 2015 In various unmanned aerial vehicle (UAV) imaging applications, the multisensor super-resolution (SR) technique has become a chronic problem and attracted increasing attention.
Wonseok Kang +3 more
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, 2009 This book constitutes the refereed proceedings of the 18th Scandinavian Conference on Image Analysis, SCIA 2013, held in Espoo, Finland, in June 2013. The 67 revised full papers presented were carefully reviewed and selected from 132 submissions.
B. Coleman +9 more
core +3 more sources
Spectral-Spatial Feature Partitioned Extraction Based on CNN for Multispectral Image Compression
Remote Sensing, 2020 Recently, the rapid development of multispectral imaging technology has received great attention from many fields, which inevitably involves the image transmission and storage problem.
Fanqiang Kong +4 more
semanticscholar +1 more source
Multispectral principal component imaging
Optics Express, 2003 We analyze a novel multispectral imager that directly measures the principal component features of an object. Optical feature extraction is studied for color face images, multi-spectral LANDSAT-7 images, and their grayscale equivalents. Blockwise feature extraction is performed that exploits both spatial and spectral correlation, with the goal of ...
Himadri, Pal, Mark, Neifeld
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Snapshot Multispectral Imaging [PDF]
PhotonicsViews, 2019 AbstractA multispectral imaging concept based on a multi‐aperture system approach using a customized microlens array combined with a slanted continuously variable bandpass filter and a silicon‐based image sensor helps to overcome the restrictions of scanning techniques or wafer‐level coated detectors.
Oliver Pust, Martin Hubold
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Multispectral Deep Neural Networks for Pedestrian Detection [PDF]
, 2016 Multispectral pedestrian detection is essential for around-the-clock applications, e.g., surveillance and autonomous driving. We deeply analyze Faster R-CNN for multispectral pedestrian detection task and then model it into a convolutional network ...
Liu, Jingjing +3 more
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Adaptive CNN Ensemble for Complex Multispectral Image Analysis
Complex, 2020 Multispectral image classification has long been the domain of static learning with nonstationary input data assumption. The prevalence of Industrial Revolution 4.0 has led to the emergence to perform real-time analysis (classification) in an online ...
Syed Muslim Jameel +3 more
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BMC Cell Biology, 2007 Background We present an analysis of the utility of multispectral versus standard RGB imagery for routine H&E stained histopathology images, in particular for pixel-level classification of nuclei.
Harvey Neal R +4 more
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