Results 251 to 260 of about 57,062 (333)

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

Fusion of circulant singular spectrum analysis and multiscale local ternary patterns for effective spectral-spatial feature extraction and small sample hyperspectral image classification. [PDF]

Sci Rep
Wan X, Chen F, Gao W, Mo D, Liu H.
europepmc   +1 more source

Sequential Classification of Hyperspectral Images

, 2018
Zhao, Min, Chen, Jie
openaire   +3 more sources

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

A Dual-Branch Fusion of a Graph Convolutional Network and a Convolutional Neural Network for Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Yang P, Zhang X.
europepmc   +1 more source

AMamNet: Attention-Enhanced Mamba Network for Hyperspectral Remote Sensing Image Classification [PDF]

Chunjiang Liu, Feng Wang, Jia Qin, Li Liu, Tianxiang Zhang   +4 more
openalex   +1 more source

Integration of Colorimetric Sensing Dyes and Multi‐Substrate Arrays for Food Quality and Safety Monitoring: Design, Optimization, and Analysis

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 1, January 2026.
ABSTRACT As food safety issues gain increasing attention, the need for rapid, accurate, and low‐cost detection techniques becomes essential. Colorimetric sensors, known for their rapid response, high sensitivity, low cost, and readily observable results, are playing an increasingly important role in food quality inspection. This review article provides
Jingfei Shen, Qisheng Liu, Ruxin Zhang, Zhengzhu Zhang, Quansheng Chen, Jingming Ning, Luqing Li   +6 more
wiley   +1 more source

Attention 3D central difference convolutional dense network for hyperspectral image classification. [PDF]

PLoS One
Ashraf M, Alharthi R, Chen L, Umer M, Alsubai S, Eshmawi AA.   +5 more
europepmc   +1 more source

A Bayesian model for joint unmixing and robust classification of hyperspectral image

, 2018
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon   +3 more
openalex  

Dual-Student Self-Distillation for Hyperspectral Image Classification With Noisy Labels

Yunmin Zhang, Yalin Zhang, Guo Cao, Haitao Zhao   +3 more
openalex   +1 more source