A Study on Dimensionality Reduction and Parameters for Hyperspectral Imagery Based on Manifold Learning

A Study on Dimensionality Reduction and Parameters for Hyperspectral Imagery Based on Manifold Learning

With the rapid advancement of remote-sensing technology, the spectral information obtained from hyperspectral remote-sensing imagery has become increasingly rich, facilitating detailed spectral analysis of Earth’s surface objects. However, the abundance of spectral information presents certain chall...

Full description

Bibliographic Details
Main Authors:	Wenhui Song, Xin Zhang, Guozhu Yang, Yijin Chen, Lianchao Wang, Hanghang Xu
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Series:	Sensors
Subjects:	hyperspectral imagery manifold learning dimensionality reduction feature extraction optimal neighborhood intrinsic dimensionality
Online Access:	https://www.mdpi.com/1424-8220/24/7/2089

Similar Items

Hyperspectral Image Dimensionality Reduction Algorithm Based on Spatial–Spectral Adaptive Multiple Manifolds
by: Shufang Xu, et al.
Published: (2023-08-01)

Spectral-Locational-Spatial Manifold Learning for Hyperspectral Images Dimensionality Reduction
by: Na Li, et al.
Published: (2021-07-01)

Dimensionality Reduction of Hyperspectral Image Based on Local Constrained Manifold Structure Collaborative Preserving Embedding
by: Guangyao Shi, et al.
Published: (2021-04-01)

Strategies for dimensionality reduction in hyperspectral remote sensing: A comprehensive overview
by: Radhesyam Vaddi, et al.
Published: (2024-03-01)

Dimensionality Reduction of Hyperspectral Images Based on Improved Spatial–Spectral Weight Manifold Embedding
by: Hong Liu, et al.
Published: (2020-08-01)

Investigating the Effects of a Combined Spatial and Spectral Dimensionality Reduction Approach for Aerial Hyperspectral Target Detection Applications
by: Fraser Macfarlane, et al.
Published: (2021-04-01)

A feature extraction method based on spectral segmentation and integration of hyperspectral images
by: Sayyed Hamed Alizadeh Moghaddam, et al.
Published: (2020-07-01)

Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Image Feature Extraction
by: Hongda Li, et al.
Published: (2022-09-01)

Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery
by: Xinwei Jiang, et al.
Published: (2018-12-01)

Unsupervised Dimensionality Reduction With Multifeature Structure Joint Preserving Embedding for Hyperspectral Imagery
by: Kai Chen, et al.
Published: (2023-01-01)

Partitioned Relief-F Method for Dimensionality Reduction of Hyperspectral Images
by: Jiansi Ren, et al.
Published: (2020-03-01)

An Integrative Remote Sensing Application of Stacked Autoencoder for Atmospheric Correction and Cyanobacteria Estimation Using Hyperspectral Imagery
by: JongCheol Pyo, et al.
Published: (2020-03-01)

CSR-Net: Camera Spectral Response Network for Dimensionality Reduction and Classification in Hyperspectral Imagery
by: Yunhao Zou, et al.
Published: (2020-10-01)

Manifold learning based on kernel density estimation
by: A.P. Kuleshov, et al.
Published: (2018-06-01)

Hyperspectral anomaly detection: a performance comparison of existing techniques
by: Noman Raza Shah, et al.
Published: (2022-12-01)

Canalisation and plasticity on the developmental manifold of Caenorhabditis elegans
by: David J Jordan, et al.
Published: (2023-11-01)

Impact of linear dimensionality reduction methods on the performance of anomaly detection algorithms in hyperspectral images
by: Mohsen Zare-Baghbidi, et al.
Published: (2015-01-01)

Aerodynamic Optimization Framework for a Three-Dimensional Nacelle Based on Deep Manifold Learning-Assisted Geometric Multiple Dimensionality Reduction
by: Cong Wang, et al.
Published: (2023-06-01)

Feature Extraction for Dimensionality Reduction in Cellular Networks Performance Analysis
by: Isabel de-la-Bandera, et al.
Published: (2020-12-01)

Camouflage Target Recognition Based on Dimension Reduction Analysis of Hyperspectral Image Regions
by: Jiale Zhao, et al.
Published: (2022-09-01)

Dimensionality Reduction of Hyperspectral Image with Graph-Based Discriminant Analysis Considering Spectral Similarity
by: Fubiao Feng, et al.
Published: (2017-03-01)

Joint Characterization of Spatiotemporal Data Manifolds
by: Daniel Sousa, et al.
Published: (2022-03-01)

An outlook: machine learning in hyperspectral image classification and dimensionality reduction techniques
by: Tatireddy Subba Reddy, et al.
Published: (2022-01-01)

An Unsupervised Feature Extraction Using Endmember Extraction and Clustering Algorithms for Dimension Reduction of Hyperspectral Images
by: Sayyed Hamed Alizadeh Moghaddam, et al.
Published: (2023-08-01)

NNNPE: non-neighbourhood and neighbourhood preserving embedding
by: Kaizhi Chen, et al.
Published: (2022-12-01)

Estimation of smooth vector fields on manifolds by optimization on Stiefel group
by: E.N. Abramov, et al.
Published: (2018-06-01)

Deep Fully Convolutional Embedding Networks for Hyperspectral Images Dimensionality Reduction
by: Na Li, et al.
Published: (2021-02-01)

Manifold learning in atomistic simulations: a conceptual review
by: Jakub Rydzewski, et al.
Published: (2023-01-01)

PCAfold 2.0—Novel tools and algorithms for low-dimensional manifold assessment and optimization
by: Kamila Zdybał, et al.
Published: (2023-07-01)

Recent Advances in Multi- and Hyperspectral Image Analysis
by: Jakub Nalepa
Published: (2021-09-01)

Locality constrained dictionary learning for non‐linear dimensionality reduction and classification
by: Lina Liu, et al.
Published: (2017-02-01)

Comparison of Selected Dimensionality Reduction Methods for Detection of Root-Knot Nematode Infestations in Potato Tubers Using Hyperspectral Imaging
by: Janez Lapajne, et al.
Published: (2022-01-01)

Evaluating Variable Selection and Machine Learning Algorithms for Estimating Forest Heights by Combining Lidar and Hyperspectral Data
by: Sanjiwana Arjasakusuma, et al.
Published: (2020-08-01)

Learning by Autonomous Manifold Deformation with an Intrinsic Deforming Field
by: Xiaodong Zhuang, et al.
Published: (2023-10-01)

Matrix Information Geometry for Spectral-Based SPD Matrix Signal Detection with Dimensionality Reduction
by: Sheng Feng, et al.
Published: (2020-08-01)

Performance Enhancement of Predictive Analytics for Health Informatics Using Dimensionality Reduction Techniques and Fusion Frameworks
by: Shaeela Ayesha, et al.
Published: (2022-01-01)

Supervised Dimensionality Reduction of Proportional Data Using Exponential Family Distributions
by: Walid Masoudimansour, et al.
Published: (2023-08-01)

Alignment of vector fields on manifolds via contraction mappings
by: O.N. Kachan, et al.
Published: (2018-06-01)

A Gaussian Process Decoder with Spectral Mixtures and a Locally Estimated Manifold for Data Visualization
by: Koshi Watanabe, et al.
Published: (2023-07-01)

Lightweight-VGG: A Fast Deep Learning Architecture Based on Dimensionality Reduction and Nonlinear Enhancement for Hyperspectral Image Classification
by: Xuan Fei, et al.
Published: (2024-01-01)