Results 41 to 50 of about 11,320,128 (203)

Contrastive Learning Based on Transformer for Hyperspectral Image Classification

open access: yesApplied Sciences, 2021
Recently, deep learning has achieved breakthroughs in hyperspectral image (HSI) classification. Deep-learning-based classifiers require a large number of labeled samples for training to provide excellent performance.
Xiang Hu   +4 more
doaj   +1 more source

ACTL: Asymmetric Convolutional Transfer Learning for Tree Species Identification Based on Deep Neural Network

open access: yesIEEE Access, 2021
The identification of tree species is of great significance to the sustainable management and utilization of forest ecosystems. Hyperspectral data provide sufficient spectral and spatial information to classify tree species. Convolutional neural networks
Yun Shi, Donghui Ma, Jie Lv, Jie Li
doaj   +1 more source

DCRF-Net: Dual-Observation Consistency Residual Feedback Network for Hyperspectral and Multispectral Image Fusion

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral and multispectral image (HSI–MSI) fusion aims to recover a high-spatial-resolution hyperspectral image (HR-HSI) from a low-spatial-resolution hyperspectral image (LR-HSI) and a high-spatial-resolution multispectral image (HR-MSI ...
Peibo Song   +3 more
doaj   +1 more source

Hyperspectral Image Inpainting Based on Robust Spectral Dictionary Learning

open access: yesApplied Sciences, 2019
To address the problems of defective pixels and strips in hyperspectral images affecting subsequent processing and applications, we modeled the hyperspectral image (HSI) inpainting problem as a sparse signal reconstruction problem with incomplete ...
Xiaorui Song, Lingda Wu
doaj   +1 more source

Local-aware coupled network for hyperspectral image super-resolution

open access: yesGIScience & Remote Sensing, 2023
Despite the unprecedented success of super-resolution (SR) development for natural images, achieving hyperspectral image (HSI) SR with rich spectral characteristics remains a challenging task.
Meilin Zhang   +5 more
doaj   +1 more source

Hyperspectral and Multispectral Data Fusion via Joint Local-Nonlocal Modeling and Truncation Operator

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Fusion technology has been the core strategy to obtain a high-spatial-spectral resolution hyperspectral image (HSI). In recent years, few fusion models focused on exploiting the underlying manifold structure in the spatial dimension of the high ...
Jiawei Jiang   +4 more
doaj   +1 more source

Age prediction of hematoma using hyperspectral imaging (HSI)

open access: yesForensic Science, Medicine and Pathology
Abstract Hyperspectral imaging (HSI) analyzes the reflected light spectrum of an object, providing insights into its material composition. In this experimental, prospective study, standardized hematomas were created in subjects and observed over 21 days using a portable hyperspectral camera, aiming to correlate changes in the ...
S. Al-Arami   +3 more
openaire   +2 more sources

Hyperspectral imaging (hsi): applications in animal and dairy sector

open access: yesJournal of Experimental Biology and Agricultural Sciences, 2016
Hyperspectral imaging (HSI), also known as imaging spectroscopy or 3D spectroscopy, combines imaging and spectroscopy into a single system. With a high resolution measurement of spectral signatures, HSI is able to provide critical information of the target.
Abhinav Kumar   +5 more
openaire   +1 more source

Fusing Hyperspectral and Multispectral Images via Low-Rank Hankel Tensor Representation

open access: yesRemote Sensing, 2022
Hyperspectral images (HSIs) have high spectral resolution and low spatial resolution. HSI super-resolution (SR) can enhance the spatial information of the scene.
Siyu Guo   +5 more
doaj   +1 more source

SBHSR: single-band super-resolution method for hyperspectral images based on blind degradation and fusion of auxiliary band

open access: yesGeocarto International
Despite natural image super-resolution (SR) methods have achieved great success, super-resolution methods for hyperspectral image (HSI) with rich spectral features are still a very challenging task.
Lijing Bu   +3 more
doaj   +1 more source

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