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Remote Sensing, 2022 Hyperspectral sharpening has been considered an important topic in many earth observation applications. Many studies have been performed to solve the Visible-Near-Infrared (Vis-NIR) hyperpectral sharpening problem, but there is little research related to
Sihan Huang, David Messinger
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Hyperspectral Super-Resolution Via Joint Regularization of Low-Rank Tensor Decomposition
Remote Sensing, 2021 The hyperspectral image super-resolution (HSI-SR) problem aims at reconstructing the high resolution spatial–spectral information of the scene by fusing low-resolution hyperspectral images (LR-HSI) and the corresponding high-resolution multispectral ...
Meng Cao, Wenxing Bao, Kewen Qu
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Hyperspectral and Multispectral Image Fusion Using Coupled Non-Negative Tucker Tensor Decomposition
Remote Sensing, 2021 Fusing a low spatial resolution hyperspectral image (HSI) with a high spatial resolution multispectral image (MSI), aiming to produce a super-resolution hyperspectral image, has recently attracted increasing research interest.
Marzieh Zare +3 more
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How Hyperspectral Image Unmixing and Denoising Can Boost Each Other
Remote Sensing, 2020 Hyperspectral linear unmixing and denoising are highly related hyperspectral image (HSI) analysis tasks. In particular, with the assumption of Gaussian noise, the linear model assumed for the HSI in the case of low-rank denoising is often the same as the
Behnood Rasti +3 more
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A Spatial-Spectral Feature Descriptor for Hyperspectral Image Matching
Remote Sensing, 2021 Hyperspectral Images (HSIs) have been utilized in many fields which contain spatial and spectral features of objects simultaneously. Hyperspectral image matching is a fundamental and critical problem in a wide range of HSI applications.
Yang Yu +5 more
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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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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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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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