Results 21 to 30 of about 6,341 (223)
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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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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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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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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, 2021 This article investigates spectral chromatic and spatial defocus aberration in a monocular hyperspectral image (HSI) and proposes methods on how these cues can be utilized for relative depth estimation. The main aim of this work is to develop a framework
Gao, Y, Zia, A, Zhou, J
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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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Multi-level graph learning network for hyperspectral image classification
, 2022 Graph Convolutional Network (GCN) has emerged as a new technique for hyperspectral image (HSI) classification. However, in current GCN-based methods, the graphs are usually constructed with manual effort and thus is separate from the classification task,
Wan, Sheng +6 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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Remote Sensing, 2019 With the emergence of huge volumes of high-resolution Hyperspectral Images (HSI) produced by different types of imaging sensors, analyzing and retrieving these images require effective image description and quantification techniques.
Olfa Ben-Ahmed +3 more
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Hyperspectral Superresolution Reconstruction via Decomposition of Low-Rank and Sparse Tensor
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Hyperspectral superresolution reconstruction technique obtains a high-resolution hyperspectral image (HR-HSI) by fusing both a low-resolution hyperspectral image (LR-HSI) and a high-resolution multispectral image.
Huajing Wu +4 more
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