Results 61 to 70 of about 7,130 (165)

Non‐Invasive Detection of Foreign Matter Embedded Inside Egg Fried Rice Using Hyperspectral Transmittance Imaging

Food Frontiers, Volume 7, Issue 1, January 2026.
HSTI is a powerful tool for detecting FM within EFR. The study compares spectral ranges, light intensity, and classification models, showing that FM is most effectively identified with 110 W light intensity in the VNIR system using MLP. Pseudo‐color maps enable precise localization and contouring of FM in EFR.
Peipei Gao, Jiyong Shi, Wenlong Li, Sihui Chen, Zhou Qin, Xiaowei Huang, Xinai Zhang, Tingting Shen, Xiaobo Zou   +8 more
wiley   +1 more source

Toward Content-Based Hyperspectral Remote Sensing Image Retrieval (CB-HRSIR): A Preliminary Study Based on Spectral Sensitivity Functions

Remote Sensing, 2019
With the emergence of huge volumes of high-resolution Hyperspectral Images (HSI) produced by different types of imaging sensors, analyzing and retrieving these images require effective image description and quantification techniques.
Olfa Ben-Ahmed, Thierry Urruty, Noël Richard, Christine Fernandez-Maloigne   +3 more
doaj   +1 more source

Hyperspectral and Infrared Image Collaborative Classification Based on Morphology Feature Extraction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
With the development of sensor technology, fusion of multiple remote sensors has aroused wide attention in the earth observation area. In this article, we propose to integrate the complementary information of hyperspectral image (HSI) and infrared image (
Dandan Cao, Mengmeng Zhang, Wei Li, Qiong Ran   +3 more
doaj   +1 more source

Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution

, 2018
In many computer vision applications, obtaining images of high resolution in both the spatial and spectral domains are equally important. However, due to hardware limitations, one can only expect to acquire images of high resolution in either the spatial
Kwan, Chiman, Qi, Hairong, Qu, Ying
core   +1 more source

Laser‐Induced Breakdown Spectroscopy (LIBS) for Rapid Food Safety Monitoring: Advancements, Applications, and Future Directions

Food Safety and Health, Volume 4, Issue 1, Page 50-66, January 2026.
Laser‐induced breakdown spectroscopy (LIBS) emerges as a transformative tool for rapid, on‐site pesticide residue detection in food, offering real‐time screening with minimal sample preparation and eliminating solvent use. Although LIBS demonstrates detection limits (0.009–6.9 mg/kg) suitable for regulatory screening and aligns with green chemistry ...
Mohammad Mehdizadeh, Anahita Omidi, Theophilus M. Ikegwu, Chioke A. Okolo, Ejiofor InnocentMary IfedibaluChukwu, Lauritta C. Ndufeiya‐Kumasi   +5 more
wiley   +1 more source

Spectral–spatial mamba adversarial defense network for hyperspectral image classification

International Journal of Digital Earth
Deep learning models have obtained great success in hyperspectral image classification tasks. Nevertheless, they are usually vulnerable to adversarial attacks. Some existing works have been made to defend against adversarial attacks in HSI classification.
Zhongqiang Zhang, Ye Wang, Dahua Gao, Haoyong Li, Guangming Shi   +4 more
doaj   +1 more source

Refinement of Hyperspectral Image Classification with Segment-Tree Filtering

Remote Sensing, 2017
This paper proposes a novel method of segment-tree filtering to improve the classification accuracy of hyperspectral image (HSI). Segment-tree filtering is a versatile method that incorporates spatial information and has been widely applied in image ...
Lu Li, Chengyi Wang, Jingbo Chen, Jianglin Ma   +3 more
doaj   +1 more source

Multiple Morphology Perception Mamba for Hyperspectral Image Classification

IET Image Processing, Volume 20, Issue 1, January/December 2026.
Our proposed Multiple Morphology Perception Mamba Model (MMP‐Mamba) framework integrates morphological operations with the selective state space model (Mamba) to enhance hyperspectral image classification. It achieves superior accuracy in capturing both long‐range dependencies and local structural features while maintaining linear computational ...
Rui Cao, Renjian Zhai, Li Zhu, Yue Qiu, Hao Zhang, Kang Feng, Haikun Yu, Qi Zhou   +7 more
wiley   +1 more source

Strategies for dimensionality reduction in hyperspectral remote sensing: A comprehensive overview

Egyptian Journal of Remote Sensing and Space Sciences
The technological advancements in spectroscopy give rise to acquiring data about different materials on earth's surface which can be utilized in a variety of potential applications.
Radhesyam Vaddi, B.L.N. Phaneendra Kumar, Prabukumar Manoharan, L. Agilandeeswari, V. Sangeetha   +4 more
doaj   +1 more source

Human Stress Detection Technologies: An In‐Depth Comparison of Machine Learning Algorithms and Applications

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
ABSTRACT Workload pressure, examination stress, family responsibilities, and a variety of other factors all contribute to an increase in stress in the body. Stress weakens the human mind and body by accelerating several health disorders. Therefore, the number of approaches for early projection of stress plays a vital role in the healthcare sector ...
Srabanti Maji, Soumen Kanrar, Pooja Gupta, Anurag Sinha, Md. Sazid Reza, G. Madhukar Rao, Shrikant Burje, Agnivesh Kumar Sinha, Sandeep bhad   +8 more
wiley   +1 more source