Results 41 to 50 of about 11,517,403 (217)

Contrastive Learning Based on Transformer for Hyperspectral Image Classification

Applied 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, Teng Li, Tong Zhou, Yu Liu, Yuanxi Peng   +4 more
doaj   +1 more source

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, B. Sang, B. Heider, H. -P. Honold, M. Sornig, S. Fischer   +5 more
openaire   +1 more source

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

IEEE 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

IEEE 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, Lihua Zhang, Zhaolong Gao, Jinjiang Li   +3 more
doaj   +1 more source

Hyperspectral Image Inpainting Based on Robust Spectral Dictionary Learning

Applied 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

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

Remote 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, Xi’ai Chen, Huidi Jia, Zhi Han, Zhigang Duan, Yandong Tang   +5 more
doaj   +1 more source

Customizing kernel functions for SVM-based hyperspectral image classification [PDF]

, 2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms.
Damper, R. I., Guo, B., Steve R. Gunn, Gunn, S. R., R. I. Damper, Baofeng Guo, Nelson, J. D. B., James D. B. Nelson   +7 more
core   +2 more sources

Age prediction of hematoma using hyperspectral imaging (HSI)

Forensic 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, St. Lüdtke, J. Dreßler, C. Babian   +3 more
openaire   +2 more sources

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

Journal 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, Sonal Saxena, Sameer Shrivastava, Vandana Bharti, Upendra Kumar, Kuldeep Dhama   +5 more
openaire   +1 more source

Local-aware coupled network for hyperspectral image super-resolution

GIScience & 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, Guizhou Zheng, Zhiben Jiang, Qiqi Zhu, Linlin Wang, Qingfeng Guan   +5 more
doaj   +1 more source