Results 61 to 70 of about 539 (168)

Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising

, 2023
Removing the noise and improving the visual quality of hyperspectral images (HSIs) is challenging in academia and industry. Great efforts have been made to leverage local, global or spectral context information for HSI denoising.
Dong, Junyu, Gao, Feng, Pan, Haodong, Du, Qian   +3 more
core   +2 more sources

Compact Spectral Imaging: A Review of Miniaturized and Integrated Systems

Laser &Photonics Reviews, Volume 19, Issue 21, November 6, 2025.
This review explores the rapid shift toward compact spectral imaging systems by examining four key design paradigms: Do‐It‐Yourself (DIY) platforms, freeform optics, filter‐on‐chip integration, and multifunctional metasurfaces. The discussion highlights critical applications in medicine, agriculture, and environmental monitoring, providing comparative ...
Sani Mukhtar, Amir Arbabi, Jaime Viegas
wiley   +1 more source

Background Suppression by Multivariate Gaussian Denoising Diffusion Model for Hyperspectral Target Detection

Remote Sensing
Hyperspectral image (HSI) target detection plays a critical role in both military and civilian applications, including military reconnaissance, environmental monitoring, and precision agriculture.
Weile Han, Yuteng Huang, Jiaqi Feng, Rongting Zhang, Guangyun Zhang   +4 more
doaj   +1 more source

Multibranch Separable 3-D Convolutional Neural Network for Hyperspectral Image Denoising

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
3-D convolutional neural networks (CNNs) offer a great potential spatial–spectral representation for hyperspectral image (HSI), and has achieved promising HSI denoising performance.
Haitao Yin, Hao Chen
doaj   +1 more source

A Novel Spectral-Spatial Singular Spectrum Analysis Technique for Near Real-Time In Situ Feature Extraction in Hyperspectral Imaging

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
As a cutting-edge technique for denoising and feature extraction, singular spectrum analysis (SSA) has been applied successfully for feature mining in hyperspectral images (HSI).
Hang Fu, Genyun Sun, Jaime Zabalza, Aizhu Zhang, Jinchang Ren, Xiuping Jia   +5 more
doaj   +1 more source

Hyperspectral Image Denoising via Group Sparsity Regularized Hybrid Spatio-Spectral Total Variation

Remote Sensing, 2022
In this paper, we propose a new hyperspectral image (HSI) denoising model with the group sparsity regularized hybrid spatio-spectral total variation (GHSSTV) and low-rank tensor decomposition, which is based on the analysis of structural sparsity of HSIs.
Pengdan Zhang, Jifeng Ning
doaj   +1 more source

Diverse Models, United Goal: A Comprehensive Survey of Ensemble Learning

CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 959-982, August 2025.
ABSTRACT Ensemble learning, a pivotal branch of machine learning, amalgamates multiple base models to enhance the overarching performance of predictive models, capitalising on the diversity and collective wisdom of the ensemble to surpass individual models and mitigate overfitting.
Ziwei Fan, Zhiwen Yu, Kaixiang Yang, Wuxing Chen, Xiaoqing Liu, Guojie Li, Xianling Yang, C. L. Philip Chen   +7 more
wiley   +1 more source

Detection of Quality Deterioration of Packaged Raw Beef Based on Hyperspectral Technology

Food Science &Nutrition, Volume 13, Issue 3, March 2025.
A rapid nondestructive detection of fresh meat after packaging based on hyperspectral imaging was proposed. Gaussian filtering was applied to reduce the interference effect caused by the packaging film. Multivariate combinatorial modeling based on echo‐neural networks optimized by vulture optimization algorithms.
Cheng Wu, Yingjie Feng, Jiarui Cui, Zhang Yao, Hailong Xu, Songlei Wang   +5 more
wiley   +1 more source

Hyperspectral image restoration using noise gradient and dual priors under mixed noise conditions

CAAI Transactions on Intelligence Technology, Volume 10, Issue 1, Page 72-93, February 2025.
Abstract Images obtained from hyperspectral sensors provide information about the target area that extends beyond the visible portions of the electromagnetic spectrum. However, due to sensor limitations and imperfections during the image acquisition and transmission phases, noise is introduced into the acquired image, which can have a negative impact ...
Hazique Aetesam, Suman Kumar Maji, V. B. Surya Prasath   +2 more
wiley   +1 more source

Hyperspectral imagery quality assessment and band reconstruction using the prophet model

CAAI Transactions on Intelligence Technology, Volume 10, Issue 1, Page 47-61, February 2025.
Abstract In Hyperspectral Imaging (HSI), the detrimental influence of noise and distortions on data quality is profound, which has severely affected the following‐on analytics and decision‐making such as land mapping. This study presents an innovative framework for assessing HSI band quality and reconstructing the low‐quality bands, based on the ...
Ping Ma, Jinchang Ren, Zhi Gao, Yinhe Li, Rongjun Chen   +4 more
wiley   +1 more source