Cover Image

A Hybrid Random Forest and CNN Framework for Tile-Wise Oil-Water Classification in Hyperspectral Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nickzamir, Mehdi, Gandab, Seyed Mohammad Sheikh Ahamdi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SpectralTrain: A Universal Framework for Hyperspectral Image Classification
by: Zhou, Meihua, et al.
Published: (2025)

Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps
by: Rahimzadeh, Mohammad, et al.
Published: (2021)

MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification
by: Cheon, Minjong, et al.
Published: (2025)

Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry Houses
by: Ehsan, Tahereh Zarrat, et al.
Published: (2024)

The Role of Noisy Data in Improving CNN Robustness for Image Classification
by: Ramírez-Agudelo, Oscar H., et al.
Published: (2026)

Hyperspectral Imaging
by: Hong, Danfeng, et al.
Published: (2025)

Hybrid CNN-ViT Framework for Motion-Blurred Scene Text Restoration
by: Rashid, Umar, et al.
Published: (2025)

SDTN and TRN: Adaptive Spectral-Spatial Feature Extraction for Hyperspectral Image Classification
by: Ye, Fuyin, et al.
Published: (2025)

Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image Classification
by: Liu, Chun, et al.
Published: (2024)

Label Semantics for Robust Hyperspectral Image Classification
by: Hassan, Rafin, et al.
Published: (2025)

LMFLOSS: A Hybrid Loss For Imbalanced Medical Image Classification
by: Sadi, Abu Adnan, et al.
Published: (2022)

Optimizing Gastrointestinal Diagnostics: A CNN-Based Model for VCE Image Classification
by: Ahlawat, Vaneeta, et al.
Published: (2024)

An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications
by: Rodrigo, Kayne Uriel K., et al.
Published: (2024)

Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification
by: Basyal, Ganga Prasad, et al.
Published: (2024)

Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification
by: Yang, Shujun, et al.
Published: (2024)

S$^2$Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification
by: Wang, Guanchun, et al.
Published: (2024)

A Co-Training Semi-Supervised Framework Using Faster R-CNN and YOLO Networks for Object Detection in Densely Packed Retail Images
by: Yazdanjouei, Hossein, et al.
Published: (2025)

Chaotic CNN for Limited Data Image Classification
by: M, Anusree, et al.
Published: (2026)

Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification
by: Seydi, Seyd Teymoor, et al.
Published: (2024)

UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation
by: Wang, Jian, et al.
Published: (2024)

DSXFormer: Dual-Pooling Spectral Squeeze-Expansion and Dynamic Context Attention Transformer for Hyperspectral Image Classification
by: Ullah, Farhan, et al.
Published: (2026)

High Resolution Flood Extent Detection Using Deep Learning with Random Forest Derived Training Labels
by: Nuriddinov, Azizbek, et al.
Published: (2026)

Hybrid Deep Learning for Hyperspectral Single Image Super-Resolution
by: Muhammad, Usman, et al.
Published: (2025)

A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference
by: Beghdadi, Ayman, et al.
Published: (2024)

Evolving CNN Architectures: From Custom Designs to Deep Residual Models for Diverse Image Classification and Detection Tasks
by: Hasan, Mahmudul, et al.
Published: (2026)

Image Tiling for High-Resolution Reasoning: Balancing Local Detail with Global Context
by: de Margerie, Anatole Jacquin, et al.
Published: (2025)

Asymmetric Lesion Detection with Geometric Patterns and CNN-SVM Classification
by: Rasel, M. A., et al.
Published: (2025)

A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Disease Detection from Retinal Fundus Images
by: Djoumessi, Kerol, et al.
Published: (2025)

Learning Spectral Diffusion Prior for Hyperspectral Image Reconstruction
by: Yu, Mingyang, et al.
Published: (2025)

CLAReSNet: When Convolution Meets Latent Attention for Hyperspectral Image Classification
by: Bandyopadhyay, Asmit, et al.
Published: (2025)

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification
by: Han, Zhu, et al.
Published: (2024)

Textual and Visual Prompt Fusion for Image Editing via Step-Wise Alignment
by: Feng, Zhanbo, et al.
Published: (2023)

Determining Mosaic Resilience in Sugarcane Plants using Hyperspectral Images
by: Zia, Ali, et al.
Published: (2025)

Comparative Analysis and Ensemble Enhancement of Leading CNN Architectures for Breast Cancer Classification
by: Murphy, Gary, et al.
Published: (2024)

A Hybrid Multi-Well Hopfield-CNN with Feature Extraction and K-Means for MNIST Classification
by: Farooq, Ahmed
Published: (2025)

Artifact Reduction in Undersampled 3D Cone-Beam CTs using a Hybrid 2D-3D CNN Framework
by: Thalhammer, Johannes, et al.
Published: (2026)

AI-Powered Deepfake Detection Using CNN and Vision Transformer Architectures
by: Urmi, Sifatullah Sheikh, et al.
Published: (2026)

AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging
by: Dosi, Andrea, et al.
Published: (2024)

AResNet-ViT: A Hybrid CNN-Transformer Network for Benign and Malignant Breast Nodule Classification in Ultrasound Images
by: Zhao, Xin, et al.
Published: (2024)

DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers
by: Wang, Zitong, et al.
Published: (2025)