HSI-MSER: Hyperspectral Image Registration Algorithm Based on MSER and SIFT [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 This work was supported in part by Ministerio de Ciencia e Innovación, Government of Spain [grant number PID2019-104834GB-I00], and Consellería de Cultura, Educación e Universidade [grant numbers ED431C 2018/19, and accreditation 2019-2022 ED431G-2019/04]. All are co--funded by the European Regional Development Fund (ERDF).
Ordóñez, Álvaro +3 more
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Intraoperative reperfusion assessment of human pancreas allografts using hyperspectral imaging (HSI) [PDF]
Hepatobiliary Surgery and Nutrition, 2022 The most common causes of early graft loss in pancreas transplantation are insufficient blood supply and leakage of the intestinal anastomosis. Therefore, it is critical to monitor graft perfusion and oxygenation during the early post-transplant period. The goal of our pilot study was to evaluate the utility of hyperspectral imaging (HSI) in monitoring
Robert, Sucher +9 more
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HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image [PDF]
2018 International Conference on Audio, Language and Image Processing (ICALIP), 2018 With the development of deep learning, the performance of hyperspectral image (HSI) classification has been greatly improved in recent years. The shortage of training samples has become a bottleneck for further improvement of performance. In this paper, we propose a novel convolutional neural network framework for the characteristics of hyperspectral ...
Yanan Luo +5 more
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EnMAP: hyperspectral Imager (HSI) for Earth observation: current status [PDF]
International Conference on Space Optics — ICSO 2018, 2019 The Environmental Mapping and Analysis Program (EnMAP) is a German space borne science mission that aims at characterizing the Earth’s environment on a global scale. The single payload of the satellite is the Hyperspectral Imager (HSI). It is capable of measuring the solar radiance reflected from the Earth’s surface as a continuous spectrum in the ...
Martin Mücke +5 more
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Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset. [PDF]
Sci DataAbstract The global challenge of sustainable recycling demands automated, fast, and accurate material detection systems that act as a bedrock for a circular economy. Integrating front-tier technologies into advanced recycling systems democratizes access to AI-driven sustainability, and transforms waste analysis ...
Arbash E +6 more
europepmc +3 more sources
Hyperspectral Imaging Reveals High Water and Hemoglobin Content at Rest and Decreased Oxygen Levels After Physical Activity at the Residual Limb of Non-Dysvascular Lower Limb Amputees. [PDF]
MicrocirculationABSTRACT Objective Skin integrity is one factor determining residual limb health. Oxygen deficiency caused by energy consumption and/or mechanical stress is the most common reason for skin breakdown at the residual limb (RL), limiting physical activity and causing residual limb pain (RLP).
Pardo LA +6 more
europepmc +2 more sources
Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image [PDF]
, 2017 As a new machine learning approach, extreme learning machine (ELM) has received wide attentions due to its good performances. However, when directly applied to the hyperspectral image (HSI) classification, the recognition rate is too low. This is because
Cao, Faxian +4 more
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Single-Point Detection Architecture via Liquid Crystal Modulation for Hyperspectral Imaging Systems
IEEE Access, 2020 Hyperspectral imaging (HSI) architectures can acquire one-dimension of spatial information and one-dimension of spectral information on a two-dimensional image sensor for an image, such as in the traditional line-scan HSI architecture.
C. Harrison Brodie +1 more
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WTL-I: Mutual Information-Based Wavelet Transform Learning for Hyperspectral Imaging
Frontiers in Signal Processing, 2022 Hyperspectral imaging (HSI) is useful in many applications, including healthcare, geosciences, and remote surveillance. In general, the HSI data set is large.
Shiv Gehlot +2 more
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STACKED LOCAL FEATURE DETECTOR FOR HYPERSPECTRAL IMAGE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Images registration is an important task in hyperspectral image processing, while almost all local feature point based image matching algorithm is designed for single band image only and miss the advantage of abundant spectral information.
Z. Yan, Z. Wu
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