A Hybrid 3D–2D Feature Hierarchy CNN with Focal Loss for Hyperspectral Image Classification

A Hybrid 3D–2D Feature Hierarchy CNN with Focal Loss for Hyperspectral Image Classification

Hyperspectral image (HSI) classification has been extensively applied for analyzing remotely sensed images. HSI data consist of multiple bands that provide abundant spatial information. Convolutional neural networks (CNNs) have emerged as powerful deep learning methods for processing visual data. In...

Full description

Bibliographic Details
Main Authors:	Xiaoyan Wen, Xiaodong Yu, Yufan Wang, Cuiping Yang, Yu Sun
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Series:	Remote Sensing
Subjects:	hyperspectral remote sensing images feature extraction convolutional neural network (CNN) class imbalance focal loss
Online Access:	https://www.mdpi.com/2072-4292/15/18/4439

Similar Items

CBF-IDS: Addressing Class Imbalance Using CNN-BiLSTM with Focal Loss in Network Intrusion Detection System
by: Haonan Peng, et al.
Published: (2023-10-01)

An Asymmetric Contrastive Loss for Handling Imbalanced Datasets
by: Valentino Vito, et al.
Published: (2022-09-01)

EDCLoc: a prediction model for mRNA subcellular localization using improved focal loss to address multi-label class imbalance
by: Yu Deng, et al.
Published: (2024-12-01)

Regularized CNN Feature Hierarchy for Hyperspectral Image Classification
by: Muhammad Ahmad, et al.
Published: (2021-06-01)

An end-to-end seed vigor prediction model for imbalanced samples using hyperspectral image
by: Tiantian Pang, et al.
Published: (2023-12-01)

Performance Improvement of Deep Learning Based Multi-Class ECG Classification Model Using Limited Medical Dataset
by: Sanghoon Choi, et al.
Published: (2023-01-01)

Multiscale Information Fusion for Hyperspectral Image Classification Based on Hybrid 2D-3D CNN
by: Hang Gong, et al.
Published: (2021-06-01)

A Simplified 2D-3D CNN Architecture for Hyperspectral Image Classification Based on Spatial–Spectral Fusion
by: Chunyan Yu, et al.
Published: (2020-01-01)

A Joint Network of 3D-2D CNN Feature Hierarchy and Pyramidal Residual Model for Hyperspectral Image Classification
by: Hongwei Wei, et al.
Published: (2025-01-01)

CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas
by: Dekai Li, et al.
Published: (2025-01-01)

Hyperspectral Image Classification: An Analysis Employing CNN, LSTM, Transformer, and Attention Mechanism
by: Felipe Viel, et al.
Published: (2023-01-01)

Hyperspectral Target Detection-Based 2-D–3-D Parallel Convolutional Neural Networks for Hyperspectral Image Classification
by: Shih-Yu Chen, et al.
Published: (2024-01-01)

Towards an Effective Intrusion Detection Model Using Focal Loss Variational Autoencoder for Internet of Things (IoT)
by: Shapla Khanam, et al.
Published: (2022-08-01)

Spatial–Spectral Interaction Super-Resolution CNN–Mamba Network for Fusion of Satellite Hyperspectral and Multispectral Image
by: Guangwei Zhao, et al.
Published: (2024-01-01)

Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification
by: Xiaofei Yang, et al.
Published: (2020-06-01)

Spatial-Spectral-Associative Contrastive Learning for Satellite Hyperspectral Image Classification with Transformers
by: Jinchun Qin, et al.
Published: (2023-03-01)

Rethinking 3D-CNN in Hyperspectral Image Super-Resolution
by: Ziqian Liu, et al.
Published: (2023-05-01)

ODPA-CNN: One Dimensional Parallel Atrous Convolution Neural Network for Band-Selective Hyperspectral Image Classification
by: Byungjin Kang, et al.
Published: (2021-12-01)

Classification of hyperspectral images using fusion of CNN and MiniGCN with SVM
by: Wenbing Wu, et al.
Published: (2023-12-01)

Lidar-Based 3D Obstacle Detection Using Focal Voxel R-CNN for Farmland Environment
by: Jia Qin, et al.
Published: (2023-02-01)

Detection and Identification of Potato-Typical Diseases Based on Multidimensional Fusion Atrous-CNN and Hyperspectral Data
by: Wenqiang Gao, et al.
Published: (2023-04-01)

Spatial and Spectral-Channel Attention Network for Denoising on Hyperspectral Remote Sensing Image
by: Hong-Xia Dou, et al.
Published: (2022-07-01)

3D-CNN and Autoencoder-Based Gas Detection in Hyperspectral Images
by: Okan Bilge Ozdemir, et al.
Published: (2023-01-01)

Hyperspectral Image Super Resolution Using Anomaly Weighted Gabor Based CNN
by: Ali Farajzadeh, et al.
Published: (2023-03-01)

A Novel Transformer Network with a CNN-Enhanced Cross-Attention Mechanism for Hyperspectral Image Classification
by: Xinyu Wang, et al.
Published: (2024-03-01)

A Deep CNN Transformer Hybrid Model for Skin Lesion Classification of Dermoscopic Images Using Focal Loss
by: Yali Nie, et al.
Published: (2022-12-01)

A Novel Double Ensemble Algorithm for the Classification of Multi-Class Imbalanced Hyperspectral Data
by: Daying Quan, et al.
Published: (2022-08-01)

An Enhanced Spectral Fusion 3D CNN Model for Hyperspectral Image Classification
by: Junbo Zhou, et al.
Published: (2022-10-01)

TransHSI: A Hybrid CNN-Transformer Method for Disjoint Sample-Based Hyperspectral Image Classification
by: Ping Zhang, et al.
Published: (2023-11-01)

Identification of Geographical Origin of Chinese Chestnuts Using Hyperspectral Imaging with 1D-CNN Algorithm
by: Xingpeng Li, et al.
Published: (2021-12-01)

Optimized 3D-2D CNN for automatic mineral classification in hyperspectral images
by: Attallah Youcef, et al.
Published: (2024-12-01)

Wind Turbine Blade Icing Prediction Using Focal Loss Function and CNN-Attention-GRU Algorithm
by: Cheng Tao, et al.
Published: (2023-07-01)

Configurable 2D–3D CNNs Accelerator for FPGA-Based Hyperspectral Imagery Classification
by: Wenjing He, et al.
Published: (2023-01-01)

Hyperspectral Image Segmentation for Optimal Satellite Operations: In-Orbit Deployment of 1D-CNN
by: Jon Alvarez Justo, et al.
Published: (2025-02-01)

Autonomous Binarized Focal Loss Enhanced Model Compression Design Using Tensor Train Decomposition
by: Mingshuo Liu, et al.
Published: (2022-10-01)

Spatial-Spectral Transformer for Hyperspectral Image Classification
by: Xin He, et al.
Published: (2021-01-01)

Focal Dice Loss-Based V-Net for Liver Segments Classification
by: Berardino Prencipe, et al.
Published: (2022-03-01)

Urban Feature Extraction within a Complex Urban Area with an Improved 3D-CNN Using Airborne Hyperspectral Data
by: Xiaotong Ma, et al.
Published: (2023-02-01)

Hybrid Deep CNN-Attention for Hyperspectral Image Classification
by: WANG Yan, LYU Yanping
Published: (2023-02-01)

A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification
by: Mercedes E. Paoletti, et al.
Published: (2023-01-01)