Results 51 to 60 of about 539 (168)

Hyperspectral Image Mixed Noise Removal Using a Subspace Projection Attention and Residual Channel Attention Network

Remote Sensing, 2022
Although the existing deep-learning-based hyperspectral image (HSI) denoising methods have achieved tremendous success, recovering high-quality HSIs in complex scenes that contain mixed noise is still challenging.
Hezhi Sun, Ke Zheng, Ming Liu, Chao Li, Dong Yang, Jindong Li   +5 more
doaj   +1 more source

A Single Model CNN for Hyperspectral Image Denoising

, 2022
Denoising is a common preprocessing step prior to the analysis and interpretation of hyperspectral images (HSIs). However, the vast majority of methods typically adopted for HSI denoising exploit architectures originally developed for grayscale or RGB ...
Alessandro Maffei, Mercedes E. Paoletti, Antonio Plaza, Juan M. Haut, Javier Plaza, Lorenzo Bruzzone   +5 more
core   +1 more source

Assessing Moisture Content of Coolstored Blueberries During Water Loss Scenarios Using Hyperspectral Imaging

New Zealand Journal of Crop and Horticultural Science, Volume 54, Issue 2, June 2026.
Water loss is a key factor affecting the postharvest quality and shelf life of blueberries, and storage conditions (humidity and time) play an important role in regulating water retention capacity of stored berries. This study aims to explore the variation of moisture content (MC) in blueberries under different storage humidity and storage time ...
RunKai Wang, Craig McGill, Eduardo Sandoval, Mo Li   +3 more
wiley   +1 more source

Regularizing Subspace Representation for Fusing Hyperspectral and Multispectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Fusing a low spatial resolution hyperspectral image (LR-HSI) with a high spatial but low spectral resolution multispectral image (HR-MSI) has been regarded as an effective approach to obtain high resolution HSI (HR-HSI).
Yanhong Yang, Congcong Wang, Yuan Feng, Jianhua Zhang, Yuhui Zheng, Shengyong Chen   +5 more
doaj   +1 more source

An Inpainting Model of Fractal Group Sparse Representation Combined With Residual Denoising Network

Journal of Engineering, Volume 2026, Issue 1, 2026.
Aiming at the blurring artifacts in inpainting, this paper proposes an inpainting model of fractal group sparse representation combined with a residual denoising network. On the one hand, the fractal group sparse representation model can use a unified framework to describe the local smooth and nonlocal self‐similarity features of the image to complete ...
Zun Li, Wei Zhao, Abdussalam Elhanashi
wiley   +1 more source

A Survey on Superpixel Segmentation as a Preprocessing Step in Hyperspectral Image Analysis

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Recent developments in hyperspectral sensors have made it possible to acquire hyperspectral images (HSI) with higher spectral and spatial resolution. Hence, it is now possible to extract detailed information about relatively smaller structures.
Subhashree Subudhi, Ram Narayan Patro, Pradyut Kumar Biswal, Fabio Dell'Acqua   +3 more
doaj   +1 more source

Adulteration Detection of Yak Meat Based on Near‐Infrared Spectroscopy and Chemometrics

Journal of Food Quality, Volume 2026, Issue 1, 2026.
Near‐infrared spectroscopy (NIRS), which leverages molecular absorption of infrared light, possesses strong “fingerprint” identification capabilities. It has become an indispensable tool in compound identification, molecular structure analysis, and quantitative analysis.
Hang Lv, Xihui Bian, Yuan Gao, Meisong Wang, Haiyue Wu, Zhongxin Yan, Yang Xiang, Anand Mohan   +7 more
wiley   +1 more source

Guideline for Non‐Destructive Testing of Agricultural Product Quality Using Spectral Imaging Technology

AgriFood: Journal of Agricultural Products for Food, Volume 1, Issue 1, Page 4-14, December 2025.
This research guide focuses on the application of spectral imaging technology in the detection of fruit and vegetable quality, and expounds its core advantages as a non‐destructive technology for detecting fruit and vegetable quality. ABSTRACT This research guide focuses on the application of spectral imaging technology in the detection of fruit and ...
Jiangao Qiu, Xirui Zhang, Jie Guo, Jianbo Xiao, Lina Zhang, Shaohua Fu, Ruiwu Xu, Chao Cao   +7 more
wiley   +1 more source

S2TDM: Spatial-spectral transformer-based diffusion model for hyperspectral image denoising

Geo-spatial Information Science
Hyperspectral imagery (HSI) is often affected by various types of noise during acquisition, which can significantly impair subsequent applications. Deep learning-based methods, particularly transformer-based and diffusion model-based approaches, have ...
Zhehui Wu, Yong Chen, Jin Xiong, Xiaodong Pan, Wei He   +4 more
doaj   +1 more source

Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science

Modern Agriculture, Volume 3, Issue 2, December 2025.
Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song, Haifeng Liang, Bingjie Lu, Jing Guo, Yuan Gao, Xiao Hu, Manlin Yang, Xiaofan Li, Zhenyu Wang, Yongqi Chen, Yinyin Zhang, Shen Su, Zhangyun Gao, Shijie Li, Ping Chen, Jing Wang, Wanneng Yang, Hui Feng   +17 more
wiley   +1 more source