Results 11 to 20 of about 16,943 (161)
SICE Journal of Control, Measurement, and System Integration, 2022 Recently, the utilization of hyperspectral images containing several hundred wavelength information has been increasing in various fields. If a hyperspectral image can be estimated from a low-cost RGB image that has only R, G, and B wavelength ...
Ryoji Sato +3 more
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Hyperspectral and Multispectral Image Fusion by Deep Neural Network in a Self-Supervised Manner
Remote Sensing, 2021 Compared with multispectral sensors, hyperspectral sensors obtain images with high- spectral resolution at the cost of spatial resolution, which constrains the further and precise application of hyperspectral images.
Jianhao Gao, Jie Li, Menghui Jiang
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Deep Learning in Medical Hyperspectral Images: A Review
Sensors, 2022 With the continuous progress of development, deep learning has made good progress in the analysis and recognition of images, which has also triggered some researchers to explore the area of combining deep learning with hyperspectral medical images and ...
Rong Cui +6 more
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Agricultural plant hyperspectral imaging dataset
Компьютерная оптика, 2023 Detailed automated analysis of crop images is critical to the development of smart agriculture and can significantly improve the quantity and quality of agricultural products.
A.V. Gaidel +6 more
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Tongue Coating Grading Identification Using Deep Learning for Hyperspectral Imaging Data
IEEE Access, 2023 Tongue diagnosis is one of the four diagnostic methods of traditional Chinese medicine (TCM), which has important value in clinical disease diagnosis and efficacy evaluation.
Dong Zhang +4 more
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The Future of Hyperspectral Imaging [PDF]
Journal of Imaging, 2019 The Special Issue on hyperspectral imaging (HSI), entitled “The Future of Hyperspectral Imaging”, has published 12 papers. Nine papers are related to specific current research and three more are review contributions: In both cases, the request is to propose those methods or instruments so as to show the future trends of HSI.
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FUSION OF HYPERSPECTRAL AND PANCHROMATIC IMAGES USING SPECTRAL UNMIXING RESULTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Hyperspectral imaging, due to providing high spectral resolution images, is one of the most important tools in the remote sensing field. Because of technological restrictions hyperspectral sensors has a limited spatial resolution.
R. Rajabi, H. Ghassemian
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Deep Pansharpening via 3D Spectral Super-Resolution Network and Discrepancy-Based Gradient Transfer
Remote Sensing, 2022 High-resolution (HR) multispectral (MS) images contain sharper detail and structure compared to the ground truth high-resolution hyperspectral (HS) images. In this paper, we propose a novel supervised learning method, which considers pansharpening as the
Haonan Su, Haiyan Jin, Ce Sun
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HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy
Scientific Data, 2023 Supervised analysis using spectral data requires a well-informed characterisation of the response variables and abundant spectral data points. The presented hyperspectral dataset comes from five sets of geometallurgical samples, each characterised by ...
Alejandro Ehrenfeld +6 more
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A Hyperspectral Image Classification Method Using Multifeature Vectors and Optimized KELM
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 To improve the accuracy and generalization ability of hyperspectral image classification, a feature extraction method integrating principal component analysis (PCA) and local binary pattern (LBP) is developed for hyperspectral images in this article. The
Huayue Chen +4 more
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