Results 51 to 60 of about 16,943 (161)

Proximal near-infrared hyperspectral imaging dataset for identifying epicuticular wax loss in Masena blueberries to evaluate post-harvest qualityDataverse

Data in Brief
The dataset presented in this paper consists of hyperspectral images of Masena blueberries that were harvested on November 24, 2023, from an orchard in Pukehina, New Zealand.
Shah Faisal, Yaminn Thawdar, Melanie Po-Leen Ooi, Peter Reutemann, Dale Fletcher, Ye Chow Kuang, Sanush K. Abeysekera   +6 more
doaj   +1 more source

A Prediction-Based Spatial-Spectral Adaptive Hyperspectral Compressive Sensing Algorithm

Sensors, 2018
In order to improve the performance of storage and transmission of massive hyperspectral data, a prediction-based spatial-spectral adaptive hyperspectral compressive sensing (PSSAHCS) algorithm is proposed.
Ping Xu, Bingqiang Chen, Lingyun Xue, Jingcheng Zhang, Lei Zhu   +4 more
doaj   +1 more source

Computational Hyperspectral Camera Design Based on Co-Modulation of Diffractive Optical Element and Superposition Fabry-Perot Filter Array

IEEE Photonics Journal
Encoded computational hyperspectral cameras, propelled by advances in compressed sensing theory, making both miniaturization and real-time hyperspectral imaging feasible.
Shiqi Feng, Xuquan Wang, Xiong Dun, Zhanshan Wang, Xinbin Cheng   +4 more
doaj   +1 more source

AMHF-Net: A Multispectral and Hyperspectral Image Fusion Network for Arbitrary-Band Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral and multispectral image fusion serves as an effective approach to obtain high-resolution hyperspectral images at low cost. Current deep learning-based hyperspectral image fusion methods often focus on fusing images with a fixed number of ...
Shunyao Wang, Qi Xie, Qian Zhao, Deyu Meng   +3 more
doaj   +1 more source

HyperGAN: A Hyperspectral Image Fusion Approach Based on Generative Adversarial Networks

Remote Sensing
The objective of hyperspectral pansharpening is to fuse low-resolution hyperspectral images (LR-HSI) with corresponding panchromatic (PAN) images to generate high-resolution hyperspectral images (HR-HSI).
Jing Wang, Xu Zhu, Linhai Jing, Yunwei Tang, Hui Li, Zhengqing Xiao, Haifeng Ding   +6 more
doaj   +1 more source

Feature-Level Fusion Network for Hyperspectral Object Tracking via Mixed Multi-Head Self-Attention Learning

Remote Sensing
Hyperspectral object tracking has emerged as a promising task in visual object tracking. The rich spectral information within hyperspectral images benefits the accurate tracking in challenging scenarios.
Long Gao, Langkun Chen, Yan Jiang, Bobo Xi, Weiying Xie, Yunsong Li   +5 more
doaj   +1 more source

Crossed Dual-Branch U-Net for Hyperspectral Image Super-Resolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral images have gained great achievements in many fields, but their low spatial resolution limits the effectiveness in applications.
Jingyi Zhang, Jianjun Liu, Jinlong Yang, Zebin Wu   +3 more
doaj   +1 more source

Dehazing in hyperspectral images: the GRANHHADA database. [PDF]

Sci Rep, 2023
Carvelo SF, Domingo MÁM, Valero EM, Andrés JH.   +3 more
europepmc   +1 more source

Precise delineation of glioma margins in hyperspectral images using cross-channel spectral feature fusion. [PDF]

Biomed Opt Express
Yan J, Zhang Z, Tao C, Wang Y, Qi M, Hu B.   +5 more
europepmc   +1 more source

Age Prediction of Hematoma from Hyperspectral Images Using Convolutional Neural Networks. [PDF]

J Imaging
Keshavarz A, Bieber G, Wulff D, Babian C, Lüdtke S.   +4 more
europepmc   +1 more source