4.7 Article

Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Image Feature Extraction

Related references

Note: Only part of the references are listed.
Article Engineering, Multidisciplinary

Deep hybrid: Multi-graph neural network collaboration for hyperspectral image classification

Ding Yao et al.

Summary: In this study, a deep hybrid multi-graph neural network (DHMG) is proposed for hyperspectral image classification. Two different graph filters are utilized to extract spectral features and suppress graph noise, and a GraphSAGE-based network is introduced to refine the graph features produced by the deep hybrid network. Extensive experiments demonstrate that the DHMG model outperforms the state-of-the-art models on three public hyperspectral datasets.

DEFENCE TECHNOLOGY (2023)

Article Computer Science, Artificial Intelligence

Deep neural networks-based relevant latent representation learning for hyperspectral image classification

Akrem Sellami et al.

Summary: The study introduces a novel methodology for hyperspectral image classification using multi-view deep neural networks that combines spectral and spatial features to enhance classification performance with limited labeled samples.

PATTERN RECOGNITION (2022)

Article Environmental Sciences

Meta-Learner Hybrid Models to Classify Hyperspectral Images

Dalal AL-Alimi et al.

Summary: This paper proposes a novel classification framework for hyperspectral images using QPCA for data normalization and MLHM for training multi-class and multi-size datasets. Experimental results show that the framework outperforms other methods in terms of accuracy.

REMOTE SENSING (2022)

Article Computer Science, Information Systems

Hyperspectral image classification using NRS with different distance measurement techniques

Sarwar Shah Khan et al.

Summary: This paper improves the performance and reduces the running time of the nearest regularized subspace (NRS) classifier by optimizing the distance measures. The experiments on four datasets demonstrate that NRS_X-2-MD and NRS_MD-MD are the top combinations.

MULTIMEDIA TOOLS AND APPLICATIONS (2022)

Article Environmental Sciences

A Comparative Analysis of Swarm Intelligence and Evolutionary Algorithms for Feature Selection in SVM-Based Hyperspectral Image Classification

Yiqun Shang et al.

Summary: The study aims to propose a new filter-wrapper (F-W) framework to optimize the support vector machine (SVM) with ten Swarm Intelligence and Evolutionary Algorithms (SIEAs) in hyperspectral image (HSI) classification, showing significant performance.

REMOTE SENSING (2022)

Article Physics, Multidisciplinary

A Hyperspectral Image Classification Approach Based on Feature Fusion and Multi-Layered Gradient Boosting Decision Trees

Shenyuan Xu et al.

Summary: The paper proposes a feature fusion and multi-layered gradient boosting decision tree model for hyperspectral image classification, showing better performance in classification accuracy, training conditions, and time consumption compared to other current classical methods.

ENTROPY (2021)

Review Remote Sensing

Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review

Naftaly Wambugu et al.

Summary: Advances in sensor technologies have significantly improved the size, resolution, and quality of imagery, inspiring advancements in hyperspectral image classification applications. Superior algorithms with greater accuracy, less computational complexity, and robustness are required for HSI classification.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)

Article Geochemistry & Geophysics

Hyperspectral Image Classification With Attention-Aided CNNs

Renlong Hang et al.

Summary: An attention-aided CNN model for spectral-spatial classification of hyperspectral images is proposed, which integrates spectral and spatial attention subnetworks to focus on discriminative features. Experimental results demonstrate the superior performance of the proposed model compared to state-of-the-art CNN-related models.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

Article Geochemistry & Geophysics

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

Renlong Hang et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification

Fulin Luo et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Automation & Control Systems

Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-Spectral Manifold Learning

Hong Huang et al.

IEEE TRANSACTIONS ON CYBERNETICS (2020)

Article Computer Science, Artificial Intelligence

Deep support vector machine for hyperspectral image classification

Onuwa Okwuashi et al.

PATTERN RECOGNITION (2020)

Review Environmental Sciences

Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture

Bing Lu et al.

REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification

Lichao Mou et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Article Computer Science, Hardware & Architecture

Auto encoder based dimensionality reduction and classification using convolutional neural networks for hyperspectral images

Madhumitha Ramamurthy et al.

MICROPROCESSORS AND MICROSYSTEMS (2020)

Article Geochemistry & Geophysics

Discriminative Transfer Joint Matching for Domain Adaptation in Hyperspectral Image Classification

Jiangtao Peng et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2019)

Article Geochemistry & Geophysics

Deep Learning for Hyperspectral Image Classification: An Overview

Shutao Li et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)

Article Environmental Sciences

Hyperspectral image classification using nearest regularized subspace with Manhattan distance

Sarwar Shah Khan et al.

JOURNAL OF APPLIED REMOTE SENSING (2019)

Article Computer Science, Interdisciplinary Applications

Dimensionality Reduction of Hyperspectral Images Using Pooling

Arati Paul et al.

PATTERN RECOGNITION AND IMAGE ANALYSIS (2019)

Article Computer Science, Information Systems

Spectral-spatial K-Nearest Neighbor approach for hyperspectral image classification

Chunjuan Bo et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2018)

Article Geochemistry & Geophysics

Hyperspectral Image Classification With Deep Learning Models

Xiaofei Yang et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)

Article Geochemistry & Geophysics

SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery

Junjun Jiang et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)

Article Geochemistry & Geophysics

Hyperspectral Image Classification With Deep Feature Fusion Network

Weiwei Song et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)

Article Computer Science, Artificial Intelligence

Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines

Juan Mario Haut et al.

JOURNAL OF REAL-TIME IMAGE PROCESSING (2018)

Article Computer Science, Interdisciplinary Applications

An approach for hyperspectral image classification by optimizing SVM using self organizing map

Deepak Kumar Jain et al.

JOURNAL OF COMPUTATIONAL SCIENCE (2018)

Article Engineering, Electrical & Electronic

KNN-Based Representation of Superpixels for Hyperspectral Image Classification

Bing Tu et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)

Article Geochemistry & Geophysics

Hyperspectral Band Selection by Multitask Sparsity Pursuit

Yuan Yuan et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)

Article Engineering, Electrical & Electronic

A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification

Bor-Chen Kuo et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)

Article Engineering, Electrical & Electronic

Deep Learning-Based Classification of Hyperspectral Data

Yushi Chen et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)

Article Geography, Physical

Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing

Jaime Zabalza et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2014)

Article Geochemistry & Geophysics

Hyperspectral Remote Sensing Data Analysis and Future Challenges

Jose M. Bioucas-Dias et al.

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2013)

Article Geochemistry & Geophysics

On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification

Lefei Zhang et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2012)

Article Geosciences, Multidisciplinary

Remote sensing of soil properties in precision agriculture: A review

Yufeng Ge et al.

FRONTIERS OF EARTH SCIENCE (2011)

Article Engineering, Electrical & Electronic

Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas

Mathieu Fauvel et al.

EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (2009)

Article Geochemistry & Geophysics

Semi-supervised graph-based hyperspectral image classification

Gustavo Camps-Valls et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2007)

Article Geochemistry & Geophysics

Classification of hyperspectral remote sensing images with support vector machines

F Melgani et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2004)

Article Multidisciplinary Sciences

Nonlinear dimensionality reduction by locally linear embedding

ST Roweis et al.

SCIENCE (2000)