Diffusion Subspace Clustering for Hyperspectral Images

Diffusion Subspace Clustering for Hyperspectral Images

Hyperspectral image (HSI) subspace clustering remains a challenging task due to the poor spatial and rich spectral resolutions of HSIs. Most of the existing HSI subspace clustering approaches just extract the spatial and spectral features, ignoring the intrinsic distribution information of data and...

Full description

Bibliographic Details
Main Authors:	Jiaxin Chen, Shujun Liu, Zhongbiao Zhang, Huajun Wang
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Diffusion probabilistic model (DPM) feature extraction hyperspectral image (HSI) representation learning subspace clustering (SC)
Online Access:	https://ieeexplore.ieee.org/document/10179942/

Similar Items

Self-Supervised Deep Subspace Clustering for Hyperspectral Images With Adaptive Self-Expressive Coefficient Matrix Initialization
by: Kun Li, et al.
Published: (2021-01-01)

Regularizing Subspace Representation for Fusing Hyperspectral and Multispectral Images
by: Yanhong Yang, et al.
Published: (2021-01-01)

Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image
by: Zijia Zhang, et al.
Published: (2022-01-01)

Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation
by: Hailin Wang, et al.
Published: (2023-01-01)

Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images Based on Contrastive Learning
by: Xiang Hu, et al.
Published: (2021-11-01)

Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis
by: Kasra Rafiezadeh Shahi, et al.
Published: (2020-07-01)

Hyperspectral Image Superresolution via Subspace-Based Deep Prior Regularization
by: Jianwei Zheng, et al.
Published: (2023-01-01)

Dynamic Ensemble Learning With Multi-View Kernel Collaborative Subspace Clustering for Hyperspectral Image Classification
by: Hongliang Lu, et al.
Published: (2022-01-01)

A Fast and Accurate Similarity-Constrained Subspace Clustering Algorithm for Hyperspectral Image
by: Carlos Hinojosa, et al.
Published: (2021-01-01)

Hyper-Graph Regularized Kernel Subspace Clustering for Band Selection of Hyperspectral Image
by: Meng Zeng, et al.
Published: (2020-01-01)

Graph-Constrained Residual Self-Expressive Subspace Clustering Network for Hyperspectral Images
by: Kun Huang, et al.
Published: (2024-01-01)

Enhanced-Random-Feature-Subspace-Based Ensemble CNN for the Imbalanced Hyperspectral Image Classification
by: Qinzhe Lv, et al.
Published: (2021-01-01)

Class Probability Propagation of Supervised Information Based on Sparse Subspace Clustering for Hyperspectral Images
by: Qing Yan, et al.
Published: (2017-09-01)

Unified Low-Rank Subspace Clustering with Dynamic Hypergraph for Hyperspectral Image
by: Jinhuan Xu, et al.
Published: (2021-04-01)

Patch-Aware Deep Hyperspectral and Multispectral Image Fusion by Unfolding Subspace-Based Optimization Model
by: Jianjun Liu, et al.
Published: (2022-01-01)

Segment-Based Clustering of Hyperspectral Images Using Tree-Based Data Partitioning Structures
by: Mohamed Ismail, et al.
Published: (2020-12-01)

Dual Smooth Graph Convolutional Clustering for Large-Scale Hyperspectral Images
by: Jiaxin Chen, et al.
Published: (2024-01-01)

Sparsity Regularized Deep Subspace Clustering for Multicriterion-Based Hyperspectral Band Selection
by: Samiran Das, et al.
Published: (2022-01-01)

Sparse Subspace Learning Based on Learnable Constraints for Image Clustering
by: Siyuan Zhao
Published: (2023-01-01)

Multi-GPU Implementation of Nearest-Regularized Subspace Classifier for Hyperspectral Image Classification
by: Zhixin Li, et al.
Published: (2020-01-01)

Ideal Regularized Discriminative Multiple Kernel Subspace Alignment for Domain Adaptation in Hyperspectral Image Classification
by: Weidong Yang, et al.
Published: (2020-01-01)

Hyperspectral Image Super-Resolution via Adaptive Factor Group Sparsity Regularization-Based Subspace Representation
by: Yidong Peng, et al.
Published: (2023-10-01)

Multi-View Structural Feature Extraction for Hyperspectral Image Classification
by: Nannan Liang, et al.
Published: (2022-04-01)

Subspace-Based Preprocessing Module for Fast Hyperspectral Endmember Selection
by: Xiangfei Shen, et al.
Published: (2021-01-01)

Kernel Sparse Subspace Clustering with a Spatial Max Pooling Operation for Hyperspectral Remote Sensing Data Interpretation
by: Han Zhai, et al.
Published: (2017-04-01)

A Hyperspectral Image Classification Method Based on Adaptive Spectral Spatial Kernel Combined with Improved Vision Transformer
by: Aili Wang, et al.
Published: (2022-08-01)

The Future of Hyperspectral Imaging
by: Stefano Selci
Published: (2019-10-01)

Sparse Subspace Clustering in Hyperspectral Images using Incomplete Pixels
by: Jorge Luis Bacca, et al.
Published: (2019-09-01)

Attention-Based Octave Network for Hyperspectral Image Denoising
by: Ziwen Kan, et al.
Published: (2022-01-01)

Sparse and Low-Rank Subspace Data Clustering with Manifold Regularization Learned by Local Linear Embedding
by: Ye Yang, et al.
Published: (2018-11-01)

Self-Supervised Deep Multi-Level Representation Learning Fusion-Based Maximum Entropy Subspace Clustering for Hyperspectral Band Selection
by: Yulei Wang, et al.
Published: (2024-01-01)

Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation
by: Kun Tan, et al.
Published: (2019-06-01)

Convolutional Subspace Clustering Network With Block Diagonal Prior
by: Junjian Zhang, et al.
Published: (2020-01-01)

Multiscale Spatial-Spectral Feature Extraction Network for Hyperspectral Image Classification
by: Zhen Ye, et al.
Published: (2022-01-01)

A plug-and-play Hyperspectral Imaging Sensor using low-cost equipment
by: Jairo Salazar-Vazquez, et al.
Published: (2020-04-01)

A clustering method for small scRNA-seq data based on subspace and weighted distance
by: Zilan Ning, et al.
Published: (2023-01-01)

Multi-View Subspace Clustering With Block Diagonal Representation
by: Jipeng Guo, et al.
Published: (2019-01-01)

Tensor Block-Sparsity Based Representation for Spectral-Spatial Hyperspectral Image Classification
by: Zhi He, et al.
Published: (2016-08-01)

Spectral–Spatial Joint Feature Extraction for Hyperspectral Image Based on High-Reliable Neighborhood Structure
by: Jia Feng, et al.
Published: (2021-01-01)

Multi-view Subspace Clustering Analysis for Aggregating Multiple Heterogeneous Omics Data
by: Qianqian Shi, et al.
Published: (2019-08-01)