Cover Image

Non-Destructive Prediction of Fruit Ripeness and Firmness Using Hyperspectral Imaging and Lightweight Machine Learning Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Konrad, Phongsakon Mark, Kunstmann-Olsen, Casper, Fiutowski, Jacek, Ayvaz, Serkan
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Non-Destructive Peat Analysis using Hyperspectral Imaging and Machine Learning
by: Yan, Yijun, et al.
Published: (2024)

Self-Supervised Elimination of Non-Independent Noise in Hyperspectral Imaging
by: Ding, Guangrui, et al.
Published: (2024)

Efficient Hyperspectral Image Reconstruction Using Lightweight Separate Spectral Transformers
by: Li, Jianan, et al.
Published: (2026)

High-Resolution Hyperspectral Video Imaging Using A Hexagonal Camera Array
by: Sippel, Frank, et al.
Published: (2024)

HINER: Neural Representation for Hyperspectral Image
by: Shi, Junqi, et al.
Published: (2024)

AsymLLIC: Asymmetric Lightweight Learned Image Compression
by: Wang, Shen, et al.
Published: (2024)

LaminoDiff: Artifact-Free Computed Laminography in Non-Destructive Testing via Diffusion Model
by: Liu, Tan, et al.
Published: (2026)

Dual-Stream Attention Network for Hyperspectral Image Unmixing
by: Wang, Yufang, et al.
Published: (2024)

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation
by: Li, Minglong, et al.
Published: (2025)

ShiftLIC: Lightweight Learned Image Compression with Spatial-Channel Shift Operations
by: Bao, Youneng, et al.
Published: (2025)

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection
by: Wang, Ziyi, et al.
Published: (2024)

MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
by: Lin, Shijie, et al.
Published: (2025)

Advancements in Data Processing and Calibration for the Hyperspectral Imaging Satellite (HySIS)
by: Garg, Ankur, et al.
Published: (2024)

Towards Robust Hyperspectral Unmixing: Mixed Noise Modeling and Image-Domain Regularization
by: Naganuma, Kazuki, et al.
Published: (2023)

Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping
by: Li, Dongyi, et al.
Published: (2024)

MetaSpectra+: A Compact Broadband Metasurface Camera for Snapshot Hyperspectral+ Imaging
by: Liu, Yuxuan, et al.
Published: (2026)

HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration
by: Lin, Chia-Hsiang, et al.
Published: (2025)

Hyperspectral Anomaly Detection Using Einstein Fuzzy Computing and Quantum Neural Network
by: Lin, Chia-Hsiang, et al.
Published: (2026)

Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images Using Fully Synthetic Training
by: Xu, Xinxin, et al.
Published: (2026)

Deep Learning for Restoring MPI System Matrices Using Simulated Training Data
by: Tsanda, Artyom, et al.
Published: (2025)

Fast Hyperspectral Reconstruction for Neutron Computed Tomography Using Subspace Extraction
by: Chowdhury, Mohammad Samin Nur, et al.
Published: (2024)

Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models
by: Lozenski, Luke, et al.
Published: (2025)

Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network
by: Muhammad, Usman, et al.
Published: (2025)

Active Optics for Hyperspectral Imaging of Reflective Agricultural Leaf Sensors
by: Burns, Dexter, et al.
Published: (2025)

Anti-Aliasing Snapshot HDR Imaging Using Non-Regular Sensing
by: Stürzenhofäcker, Teresa, et al.
Published: (2026)

GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method
by: Mei, Zhanxuan, et al.
Published: (2024)

A Lightweight Model for Perceptual Image Compression via Implicit Priors
by: Wei, Hao, et al.
Published: (2025)

SLCGC: A lightweight Self-supervised Low-pass Contrastive Graph Clustering Network for Hyperspectral Images
by: Ding, Yao, et al.
Published: (2025)

ExplainS2A: Explainable Spectral-Spatial Duality Model for Fast Transforming Sentinel-2 Image to AVIRIS-Level Hyperspectral Image
by: Lin, Chia-Hsiang, et al.
Published: (2026)

Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends
by: Ghasemi, Nafiseh, et al.
Published: (2024)

Unrolling Plug-and-Play Network for Hyperspectral Unmixing
by: Zhao, Min, et al.
Published: (2024)

On-Device Super Resolution Imaging Using Low-Cost SPAD Array and Embedded Lightweight Deep Learning
by: Zang, Zhenya, et al.
Published: (2026)

Endmember Extraction from Hyperspectral Images Using Self-Dictionary Approach with Linear Programming
by: Mizutani, Tomohiko
Published: (2024)

Fast Hyperspectral Neutron Tomography
by: Chowdhury, Mohammad Samin Nur, et al.
Published: (2024)

On Uncertainty Prediction for Deep-Learning-based Particle Image Velocimetry
by: Wang, Wei, et al.
Published: (2025)

Dominant Sets Based Band Selection in Hyperspectral Imagery
by: Haliloğlu, Onur, et al.
Published: (2026)

Hyperspectral Spatial Super-Resolution using Keystone Error
by: Garg, Ankur, et al.
Published: (2024)

USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation
by: Gao, Jingyi, et al.
Published: (2025)

Hyperspectral Image Data Reduction for Endmember Extraction
by: Mizutani, Tomohiko
Published: (2025)

Benchmarking Deep Learning and Statistical Target Detection Methods for PFM-1 Landmine Detection in UAV Hyperspectral Imagery
by: Lekhak, Sagar, et al.
Published: (2026)