Local and Global Geometric Structure Preserving and Application to Hyperspectral Image Classification

Local and Global Geometric Structure Preserving and Application to Hyperspectral Image Classification

Locality Preserving Projection (LPP) has shown great efficiency in feature extraction. LPP captures the locality by the K-nearest neighborhoods. However, recent progress has demonstrated the importance of global geometric structure in discriminant analysis. Thus, both the locality and global geometr...

Full description

Bibliographic Details
Main Authors:	Huiwu Luo, Yuan Yan Tang, Chunli Li, Lina Yang
Format:	Article
Language:	English
Published:	Hindawi Limited 2015-01-01
Series:	Mathematical Problems in Engineering
Online Access:	http://dx.doi.org/10.1155/2015/917259

Similar Items

Subspace Learning via Local Probability Distribution for Hyperspectral Image Classification
by: Huiwu Luo, et al.
Published: (2015-01-01)

Multiscale Superpixelwise Locality Preserving Projection for Hyperspectral Image Classification
by: Lin He, et al.
Published: (2019-05-01)

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

Spatial-Spectral Joint Classification of Hyperspectral Image With Locality and Edge Preserving
by: Hui Zhang, et al.
Published: (2020-01-01)

Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery
by: Fulin Luo, et al.
Published: (2017-08-01)

Decision fusion for hyperspectral image classification based on multiple features and locality-preserving analysis
by: Zhen Ye, et al.
Published: (2017-01-01)

REGION-BASED GEOMETRIC ACTIVE CONTOUR FOR CLASSIFICATION USING HYPERSPECTRAL REMOTE SENSING IMAGES
by: Yan, Lin
Published: (2011)

An Effective Classification Scheme for Hyperspectral Image Based on Superpixel and Discontinuity Preserving Relaxation
by: Fuding Xie, et al.
Published: (2019-05-01)

Classification of Hyperspectral Images Based on Supervised Sparse Embedded Preserving Projection
by: Fen Cai, et al.
Published: (2019-09-01)

Multiple Feature Learning Based on Edge-Preserving Features for Hyperspectral Image Classification
by: Wei Tian, et al.
Published: (2019-01-01)

Hyperspectral Image Classification with Localized Graph Convolutional Filtering
by: Shengliang Pu, et al.
Published: (2021-02-01)

Locally Weighted Discriminant Analysis for Hyperspectral Image Classification
by: Xiaoyan Li, et al.
Published: (2019-01-01)

Spectral and Spatial Global Context Attention for Hyperspectral Image Classification
by: Zhongwei Li, et al.
Published: (2021-02-01)

Global Random Graph Convolution Network for Hyperspectral Image Classification
by: Chaozi Zhang, et al.
Published: (2021-06-01)

Global Prototypical Network for Few-Shot Hyperspectral Image Classification
by: Chengye Zhang, et al.
Published: (2020-01-01)

Representative Band Selection for Hyperspectral Image Classification
by: Fuding Xie, et al.
Published: (2018-08-01)

Fast Spectral Clustering for Unsupervised Hyperspectral Image Classification
by: Yang Zhao, et al.
Published: (2019-02-01)

Locally Homogeneous Covariance Matrix Representation for Hyperspectral Image Classification
by: Xinyu Zhang, et al.
Published: (2021-01-01)

Hyperspectral Image Denoising Using 3-D Geometrical Kernel With Local Similarity Prior
by: Feng Zhang, et al.
Published: (2021-01-01)

Broad Learning System with Locality Sensitive Discriminant Analysis for Hyperspectral Image Classification
by: Huang Yao, et al.
Published: (2020-01-01)

Structure Extraction With Total Variation for Hyperspectral Image Classification
by: Qiaoqiao Li, et al.
Published: (2019-01-01)

Wavelet Networks for Hyperspectral Image Classification
by: Hsiu-Han Yang, et al.
Published: (2007)

Overview of Hyperspectral Image Classification
by: Wenjing Lv, et al.
Published: (2020-01-01)

Pixel classification of hyperspectral images
by: Nyman, Joakim
Published: (2018)

Local Binary Patterns and Superpixel-Based Multiple Kernels for Hyperspectral Image Classification
by: Wei Huang, et al.
Published: (2020-01-01)

Georeferencing on Geometric Correction of Airborne Pushbroom Hyperspectral Images
by: Ching-Kuo Yeh, et al.
Published: (2014)

Convolutional neural networks and local binary patterns for hyperspectral image classification
by: Xiangpo Wei, et al.
Published: (2019-01-01)

Multiple Image Features-Based Retinal Image Registration Using Global and Local Geometric Structure Constraints
by: Dongsheng Bi, et al.
Published: (2019-01-01)

Structure Aware Generative Adversarial Networks for Hyperspectral Image Classification
by: Tayeb Alipour-Fard, et al.
Published: (2020-01-01)

A Novel Approach to Hyperspectral Image Classification
by: Yang-Lang Chang, et al.
Published: (2003)

Approximate sparse spectral clustering based on local information maintenance for hyperspectral image classification.
by: Qing Yan, et al.
Published: (2018-01-01)

Geometrical Approximated Principal Component Analysis for Hyperspectral Image Analysis
by: Alina L. Machidon, et al.
Published: (2020-05-01)

Hyperspectral Image Classification Based on Sparse Superpixel Graph
by: Yifei Zhao, et al.
Published: (2021-09-01)

High Dimensional Feature for Hyperspectral Image Classification
by: Wang Cailing, et al.
Published: (2018-01-01)

Hyperspectral image classification with SVM and guided filter
by: Yanhui Guo, et al.
Published: (2019-03-01)

SYNERGETICS FRAMEWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
by: R. Müller, et al.
Published: (2013-05-01)

Global and Local Tensor Sparse Approximation Models for Hyperspectral Image Destriping
by: Xiangyang Kong, et al.
Published: (2020-02-01)

Salient feature extraction method for hyperspectral image classification
by: YU Anzhu, et al.
Published: (2019-08-01)

Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification
by: Bing Tu, et al.
Published: (2020-01-01)

STACKED LOCAL FEATURE DETECTOR FOR HYPERSPECTRAL IMAGE
by: Z. Yan, et al.
Published: (2020-08-01)