Results 11 to 20 of about 4,188 (182)
Remote Sensing, 2020 Hyperspectral image (HSI) classification has become one of the most significant tasks in the field of hyperspectral analysis. However, classifying each pixel in HSI accurately is challenging due to the curse of dimensionality and limited training samples.
Yunhao Zou +3 more
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A Lightweight Multi-Level Information Network for Multispectral and Hyperspectral Image Fusion
Remote Sensing, 2022 The process of fusing the rich spectral information of a low spatial resolution hyperspectral image (LR-HSI) with the spatial information of a high spatial resolution multispectral image (HR-MSI) to obtain an HSI with the spatial resolution of an MSI ...
Mingming Ma +4 more
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Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration [PDF]
Scientific Reports, 2022 AbstractTo investigate, whether hyperspectral imaging (HSI) is able to reliably differentiate between healthy and damaged cartilage tissue. A prospective diagnostic study was performed including 21 patients undergoing open knee surgery. HSI data were acquired during surgery, and the joint surface’s cartilage was assessed according to the ICRS cartilage
Kistler, Max +6 more
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The role of intraoperative hyperspectral imaging (HSI) in colon interposition after esophagectomy
BMC Surgery, 2023 Abstract Background Colon conduit is an alternative approach to reconstructing the alimentary tract after esophagectomy. Hyperspectral imaging (HSI) has been demonstrated to be effective for evaluating the perfusion of gastric conduits, but not colon conduits.
Anne Zimmermann +10 more
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A Probabilistic Hyperspectral Imagery Restoration Method
Applied Sciences, 2019 Hyperspectral image (HSI) restoration is an important task of hyperspectral imagery processing, which aims to improve the performance of the subsequent HSI interpretation and applications.
Wei Wei, Jiatao Nie, Chunna Tian
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Rapid Hyperspectral Imaging System via Sub-Sampling Coding
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 In recent years, with the rapid advancement of hyperspectral imaging technology, a growing number of hyperspectral reconstruction approaches have arisen.
Bingchen Wei +4 more
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Segment-Based Clustering of Hyperspectral Images Using Tree-Based Data Partitioning Structures
Algorithms, 2020 Hyperspectral image classification has been increasingly used in the field of remote sensing. In this study, a new clustering framework for large-scale hyperspectral image (HSI) classification is proposed.
Mohamed Ismail, Milica Orlandić
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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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