Cover Image

Honey Classification using Hyperspectral Imaging and Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Al-Awadhi, Mokhtar A., Deshmukh, Ratnadeep R.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Honey Adulteration Detection using Hyperspectral Imaging and Machine Learning
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)

Classification of Honey Botanical and Geographical Sources using Mineral Profiles and Machine Learning
by: Al-Awadhi, Mokhtar, et al.
Published: (2025)

A Machine Learning Approach for Honey Adulteration Detection using Mineral Element Profiles
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)

Detection of Adulteration in Coconut Milk using Infrared Spectroscopy and Machine Learning
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)

Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation
by: Zhang, Guyang, et al.
Published: (2025)

Hyperspectral Image Classification using Spectral-Spatial Mixer Network
by: Alkhatib, Mohammed Q.
Published: (2025)

When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image Classification
by: Zhou, Weilian, et al.
Published: (2025)

Triplet-Watershed for Hyperspectral Image Classification
by: Challa, Aditya, et al.
Published: (2021)

Graph-Weighted Contrastive Learning for Semi-Supervised Hyperspectral Image Classification
by: Zhang, Yuqing, et al.
Published: (2025)

Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification
by: Kilickaya, Sertac, et al.
Published: (2023)

Sparse Deformable Mamba for Hyperspectral Image Classification
by: Xu, Lincoln Linlin, et al.
Published: (2025)

Dynamic Memory Transformer for Hyperspectral Image Classification
by: Ahmad, Muhammad
Published: (2025)

Cosine-Normalized Attention for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2026)

Spectral-Spatial Mamba for Hyperspectral Image Classification
by: Huang, Lingbo, et al.
Published: (2024)

Pyramid Hierarchical Transformer for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

Diabetic Retinopathy Classification from Retinal Images using Machine Learning Approaches
by: Bhattacharjee, Indronil, et al.
Published: (2024)

Latent Enhancing AutoEncoder for Occluded Image Classification
by: Kotwal, Ketan, et al.
Published: (2024)

Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification
by: Chen, Wenchen, et al.
Published: (2025)

A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification
by: Liu, Quanwei, et al.
Published: (2024)

How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification
by: Jamali, Ali, et al.
Published: (2024)

SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP
by: Pang, Li, et al.
Published: (2025)

SpectralMamba: Efficient Mamba for Hyperspectral Image Classification
by: Yao, Jing, et al.
Published: (2024)

Spectral Graph Reasoning Network for Hyperspectral Image Classification
by: Wang, Huiling
Published: (2024)

Boosting the Generalization Ability for Hyperspectral Image Classification using Spectral-spatial Axial Aggregation Transformer
by: Zhao, Enzhe, et al.
Published: (2023)

MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
by: Li, Yapeng, et al.
Published: (2025)

CWSSNet: Hyperspectral Image Classification Enhanced by Wavelet Domain Convolution
by: Tong, Yulin, et al.
Published: (2025)

Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification
by: Liu, Kangdao, et al.
Published: (2024)

Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

Dual Selective Fusion Transformer Network for Hyperspectral Image Classification
by: Xu, Yichu, et al.
Published: (2024)

Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken
by: Liu, Peifu, et al.
Published: (2024)

Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification
by: Liu, Rong, et al.
Published: (2025)

EnergyFormer: Energy Attention with Fourier Embedding for Hyperspectral Image Classification
by: Sohail, Saad, et al.
Published: (2025)

Efficient Dynamic Attention 3D Convolution for Hyperspectral Image Classification
by: Li, Guandong, et al.
Published: (2025)

Discrete Wavelet Transform-Based Capsule Network for Hyperspectral Image Classification
by: Gao, Zhiqiang, et al.
Published: (2025)

Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification
by: Zhu, Yimin, et al.
Published: (2025)

MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classification
by: Alkhatib, Mohammed Q., et al.
Published: (2026)

Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering
by: Liu, Peifu, et al.
Published: (2026)

LGEST: Dynamic Spatial-Spectral Expert Routing for Hyperspectral Image Classification
by: Wen, Jiawen, et al.
Published: (2026)

Sharpend Cosine Similarity based Neural Network for Hyperspectral Image Classification
by: Ahmad, Muhammad
Published: (2023)