Comparative Analysis of Hyperspectral Image Reconstruction Using Deep Learning for Agricultural and Biological Applications
Fuente:
arXiv
Saved in:
| Main Authors: | Ahmed, Md. Toukir, Villordon, Arthur, Kamruzzaman, Mohammed |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hyperspectral Image Reconstruction for Predicting Chick Embryo Mortality Towards Advancing Egg and Hatchery Industry
by: Ahmed, Md. Toukir, et al.
Published: (2024)
by: Ahmed, Md. Toukir, et al.
Published: (2024)
Deep learning-based hyperspectral image reconstruction for quality assessment of agro-product
by: Ahmed, Md. Toukir, et al.
Published: (2024)
by: Ahmed, Md. Toukir, et al.
Published: (2024)
Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging
by: Zidi, Fadi Abdeladhim, et al.
Published: (2025)
by: Zidi, Fadi Abdeladhim, et al.
Published: (2025)
Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications
by: Xiang, Yuchen, et al.
Published: (2025)
by: Xiang, Yuchen, et al.
Published: (2025)
Efficient Hyperspectral Image Reconstruction Using Lightweight Separate Spectral Transformers
by: Li, Jianan, et al.
Published: (2026)
by: Li, Jianan, et al.
Published: (2026)
Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture
by: Paura, Vytautas, et al.
Published: (2024)
by: Paura, Vytautas, et al.
Published: (2024)
Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis
by: Ayres, Luciano Carvalho, et al.
Published: (2024)
by: Ayres, Luciano Carvalho, et al.
Published: (2024)
S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction
by: Wang, Jiamian, et al.
Published: (2022)
by: Wang, Jiamian, et al.
Published: (2022)
Colon Polyps Detection from Colonoscopy Images Using Deep Learning
by: Amin, Md Al, et al.
Published: (2025)
by: Amin, Md Al, et al.
Published: (2025)
Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction
by: Chen, Huan, et al.
Published: (2023)
by: Chen, Huan, et al.
Published: (2023)
Unleashing Correlation and Continuity for Hyperspectral Reconstruction from RGB Images
by: Feng, Fuxiang, et al.
Published: (2025)
by: Feng, Fuxiang, et al.
Published: (2025)
Preventing Overfitting in Deep Image Prior for Hyperspectral Image Denoising
by: Gkotsis, Panagiotis, et al.
Published: (2026)
by: Gkotsis, Panagiotis, et al.
Published: (2026)
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
by: Hou, Jinhui, et al.
Published: (2023)
by: Hou, Jinhui, et al.
Published: (2023)
Coarse-Fine Spectral-Aware Deformable Convolution For Hyperspectral Image Reconstruction
by: Yang, Jincheng, et al.
Published: (2024)
by: Yang, Jincheng, et al.
Published: (2024)
Multispectral Stereo-Image Fusion for 3D Hyperspectral Scene Reconstruction
by: Wisotzky, Eric L., et al.
Published: (2023)
by: Wisotzky, Eric L., et al.
Published: (2023)
Advancements in Ship Detection: Comparative Analysis of Optical and Hyperspectral Sensors
by: Shamsi, Alyazia Al, et al.
Published: (2024)
by: Shamsi, Alyazia Al, et al.
Published: (2024)
Exploiting Frequency Correlation for Hyperspectral Image Reconstruction
by: Yan, Muge, et al.
Published: (2024)
by: Yan, Muge, et al.
Published: (2024)
Deep Equilibrium Convolutional Sparse Coding for Hyperspectral Image Denoising
by: Ye, Jin, et al.
Published: (2025)
by: Ye, Jin, et al.
Published: (2025)
Deep Learning Architectures for Medical Image Denoising: A Comparative Study of CNN-DAE, CADTra, and DCMIEDNet
by: Rahman, Asadullah Bin, et al.
Published: (2025)
by: Rahman, Asadullah Bin, et al.
Published: (2025)
Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction
by: Liang, Shijun, et al.
Published: (2024)
by: Liang, Shijun, et al.
Published: (2024)
Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning
by: Justo, Jon Alvarez, et al.
Published: (2023)
by: Justo, Jon Alvarez, et al.
Published: (2023)
Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review
by: Hu, Xing, et al.
Published: (2025)
by: Hu, Xing, et al.
Published: (2025)
Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
by: Prochii, Rinat, et al.
Published: (2025)
by: Prochii, Rinat, et al.
Published: (2025)
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution
by: Gkillas, Alexandros, et al.
Published: (2023)
by: Gkillas, Alexandros, et al.
Published: (2023)
HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising
by: Wang, Qizhou, et al.
Published: (2023)
by: Wang, Qizhou, et al.
Published: (2023)
Deep unfolding Network for Hyperspectral Image Super-Resolution with Automatic Exposure Correction
by: Fang, Yuan, et al.
Published: (2024)
by: Fang, Yuan, et al.
Published: (2024)
Comparative Analysis of Machine Learning Models for Lung Cancer Mutation Detection and Staging Using 3D CT Scans
by: Li, Yiheng, et al.
Published: (2025)
by: Li, Yiheng, et al.
Published: (2025)
3DeepRep: 3D Deep Low-rank Tensor Representation for Hyperspectral Image Inpainting
by: Li, Yunshan, et al.
Published: (2025)
by: Li, Yunshan, et al.
Published: (2025)
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
by: Kovac, Daniel, et al.
Published: (2024)
by: Kovac, Daniel, et al.
Published: (2024)
Unsupervised Hyperspectral and Multispectral Image Blind Fusion Based on Deep Tucker Decomposition Network with Spatial-Spectral Manifold Learning
by: Wang, He, et al.
Published: (2024)
by: Wang, He, et al.
Published: (2024)
Mixed-granularity Implicit Representation for Continuous Hyperspectral Compressive Reconstruction
by: Li, Jianan, et al.
Published: (2025)
by: Li, Jianan, et al.
Published: (2025)
Transformer for Multitemporal Hyperspectral Image Unmixing
by: Li, Hang, et al.
Published: (2024)
by: Li, Hang, et al.
Published: (2024)
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset
by: Elmanna, Mohamed, et al.
Published: (2024)
by: Elmanna, Mohamed, et al.
Published: (2024)
Anti-biofouling Lensless Camera System with Deep Learning based Image Reconstruction
by: Ide, Naoki, et al.
Published: (2024)
by: Ide, Naoki, et al.
Published: (2024)
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study
by: Alam, Md. Zehan, et al.
Published: (2024)
by: Alam, Md. Zehan, et al.
Published: (2024)
HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods
by: Fuchs, Martin Hermann Paul, et al.
Published: (2023)
by: Fuchs, Martin Hermann Paul, et al.
Published: (2023)
Physical Degradation Model-Guided Interferometric Hyperspectral Reconstruction with Unfolding Transformer
by: Li, Yuansheng, et al.
Published: (2025)
by: Li, Yuansheng, et al.
Published: (2025)
Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification
by: Bai, Huiyan, et al.
Published: (2024)
by: Bai, Huiyan, et al.
Published: (2024)
DSVTLA: Deep Swin Vision Transformer-Based Transfer Learning Architecture for Multi-Type Cancer Histopathological Cancer Image Classification
by: Khan, Muazzem Hussain, et al.
Published: (2026)
by: Khan, Muazzem Hussain, et al.
Published: (2026)
MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images
by: Sarkar, Ovi, et al.
Published: (2025)
by: Sarkar, Ovi, et al.
Published: (2025)
Similar Items
-
Hyperspectral Image Reconstruction for Predicting Chick Embryo Mortality Towards Advancing Egg and Hatchery Industry
by: Ahmed, Md. Toukir, et al.
Published: (2024) -
Deep learning-based hyperspectral image reconstruction for quality assessment of agro-product
by: Ahmed, Md. Toukir, et al.
Published: (2024) -
Advancing Wheat Crop Analysis: A Survey of Deep Learning Approaches Using Hyperspectral Imaging
by: Zidi, Fadi Abdeladhim, et al.
Published: (2025) -
Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications
by: Xiang, Yuchen, et al.
Published: (2025) -
Efficient Hyperspectral Image Reconstruction Using Lightweight Separate Spectral Transformers
by: Li, Jianan, et al.
Published: (2026)