Hyperspectral Image Classification via Multiple-Feature-Based Adaptive Sparse Representation

Cited by (172)

Items 101–172 of 172

1. Hyperspectral Image Classification via Sparse Representation With Incremental Dictionaries
   Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du · 2019 · IEEE Geoscience and Remote Sensing Letters
2. Feature Extraction Using Multidimensional Spectral Regression Whitening for Hyperspectral Image Classification
   Bing Tu, Qi Ren, Chengle Zhou, Siyuan Chen, Wei Ping He · 2021 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
3. Spatial-Spectral Multiple Manifold Discriminant Analysis for Dimensionality Reduction of Hyperspectral Imagery
   Guangyao Shi, Hong Bing Huang, Jiamin Liu, Zhengying Li, Lihua Wang · 2019 · Remote Sensing
4. Fusion of Hyperspectral and Multispectral Images by Convolutional Sparse Representation
   Changda Xing, Yuhua Cong, Zhisheng Wang, Meiling Wang · 2022 · IEEE Geoscience and Remote Sensing Letters
5. A 3-Stage Spectral-Spatial Method for Hyperspectral Image Classification
   Raymond H. Chan, Ruoning Li · 2022 · Remote Sensing
6. Spectral–Spatial Graph Convolutional Network with Dynamic-Synchronized Multiscale Features for Few-Shot Hyperspectral Image Classification
   Shuai Liu, Hongfei Li, Chengji Jiang, Jie Feng · 2024 · Remote Sensing
7. A Multiview Spectral–Spatial Feature Extraction and Fusion Framework for Hyperspectral Image Classification
   Jia Feng, Junping Zhang, Ye Zhang · 2021 · IEEE Geoscience and Remote Sensing Letters
8. Hyperspectral image classification method based on semantic filtering and ensemble learning
   Binge Cui, Wenwen Dong, Bei Yin, Xinhui Li, Jianming Cui · 2023 · Infrared Physics & Technology
9. Color image denoising via monogenic matrix-based sparse representation
   Shan Gai · 2017 · The Visual Computer
10. Hyperspectral image classification via nonlocal joint kernel sparse representation based on local covariance
    Dan Li, Fanqiang Kong, Qiang Wang · 2020 · Signal Processing
11. Nonoverlapped Sampling for Hyperspectral Imagery: Performance Evaluation and a Cotraining-Based Classification Strategy
    Xianghai Cao, Zuji Liu, Xiangxiang Li, Qian Xiao, Jie Feng, Licheng Jiao · 2021 · IEEE Transactions on Geoscience and Remote Sensing
12. Classification of hyperspectral images via weighted spatial correlation representation
    Bing Tu, Nanying Li, Leyuan Fang, Hongyan Fei, Danbing He · 2018 · Journal of Visual Communication and Image Representation
13. Hyperspectral Image Classification via Spatial Window-Based Multiview Intact Feature Learning
    Yue Zhao, Yiu‐ming Cheung, Xinge You, Qinmu Peng, Jiangtao Peng, Peipei Yuan, Yufeng Shi · 2020 · IEEE Transactions on Geoscience and Remote Sensing
14. Superpixel-guided multifeature tensor for hyperspectral image classification with limited training samples
    Peng Wang, Chengyong Zheng, Saihua Liu · 2022 · Optics & Laser Technology
15. GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification
    Arijit Das, Indrajit Saha, Rafał Scherer · 2020 · Sensors
16. Hyperspectral detection of fresh corn peeling damage using germinating sparse classification method
    Zhenye Li, Jun Fu, Zhi Chen, Qiankun Fu, Xiwen Luo · 2022 · Frontiers in Plant Science
17. Semantic Correntropy Representation for Hyperspectral Image Classification
    Xinyu Zhang, Zhixi Feng, Shuyuan Yang, Yantao Wei, Liangliang Song, Lixia Yang, Licheng Jiao · 2023 · IEEE Transactions on Instrumentation and Measurement
18. Multi-feature Classification of Hyperspectral Image via Probabilistic SVM and Guided Filter
    Chengkun Zhang, Min Han, Meiling Xu · 2018 · International Joint Conference on Neural Networks (IJCNN)
19. HLSK-CASMamba: hybrid large selective kernel and convolutional additive self-attention mamba for hyperspectral image classification
    Xiaoqing Wan, Yupeng He, Feng Chen, Ziqi Sun, Dongtao Mo · 2025 · Journal of King Saud University - Computer and Information Sciences
20. A weighted multiple-feature fusion classifier for hyperspectral images with limited training samples
    Jinghui Yang, Jinxi Qian · 2018 · European Journal of Remote Sensing
21. Multiple Feature Learning Based on Edge-Preserving Features for Hyperspectral Image Classification
    Wei Tian, Lizhong Xu, Zhe Chen, Aiye Shi · 2019 · IEEE Access
22. Multi-feature hyperspectral image classification with L2,1 norm constrained joint sparse representation
    Chengkun Zhang, Min Han · 2021 · International Journal of Remote Sensing
23. Multi-feature extraction method based on Gaussian pyramid and weighted voting for hyperspectral image classification
    Bei Yin, Binge Cui · 2021 · International Conference on Consumer Electronics and Computer Engineering (ICCECE)
24. A probabilistic framework for weighted combination of multiple-feature classifications of hyperspectral images
    Reza Seifi Majdar, Hassan Ghassemian · 2019 · Earth Science Informatics
25. Spectral-spatial classification fusion for hyperspectral images in the probabilistic framework via arithmetic optimization Algorithm
    Reza Seifi Majdar, Hassan Ghassemian · 2021 · International Journal of Image and Data Fusion
26. Multi-view hyperspectral image classification via weighted sparse representation
    Yue Zhao, Yao Qin, Zhifei Li, Wenxin Huang, Rui Hou · 2024 · Multimedia Tools and Applications
27. A semantic edge-aware parameter efficient image filtering technique
    Kunal Pradhan, Swarnajyoti Patra · 2024 · Computers & Graphics
28. Deep Learning Spatial-Spectral Classification of Remote Sensing Images by Applying Morphology-Based Differential Extinction Profile (DEP)
    Nafiseh Kakhani, Mehdi Mokhtarzade, Mohammad Javad Valadan Zoej · 2021 · Electronics
29. TPPI: A Novel Network Framework and Model for Efficient Hyperspectral Image Classification
    Hao Chen, Xiaohua Li, Jiliu Zhou, Yuan Wang · 2022 · Photogrammetric Engineering & Remote Sensing
30. Hyperspectral Image Classification via Multi-Feature-Based Correlation Adaptive Representation
    Guichi Liu, Lei Gao, Lin Qi · 2021 · Remote Sensing
31. Kernel eigenmaps based multiscale sparse model for hyperspectral image classification
    A. Mookambiga, V. Gomathi · 2021 · Signal Processing Image Communication
32. Vegetation-Specific Hyperspectral Band Selection for Binary-to-Multiclass Classification
    Seba Susan, Shambhavi Shinde, Surbhi Batra · 2019 · IEEE India Conference
33. Correlation-based initialization algorithm for tensor-based HSI compression methods
    Rui Li, Zhibin Pan, Yang Wang · 2020 · Multimedia Tools and Applications
34. A multiscale 3D convolution with context attention network for hyperspectral image classification
    Linfeng Wu, Huajun Wang, Tong Zhang · 2022 · Earth Science Informatics
35. Face Recognition Based on Collaborative Sparse Representation with Dictionary Learning
    Mingzhi Yao, Youbing Feng, Yiqiu Lu, Bo Jin · 2022 · International Academic Exchange Conference on Science and Technology Innovation (IAECST)
36. Double-Weighted Spatial Low-Rank and Superpixel-Guided Adaptive Graph Laplacian Regularization for Sparse Hyperspectral Unmixing
    Taowei Wang, Weitao Chen · 2025 · IEEE Transactions on Instrumentation and Measurement
37. Region‐division‐based joint sparse representation classification for hyperspectral images
    Jingwen Yan, Hongda Chen, Yikui Zhai, Yinan Liu, Lei Liu · 2019 · IET Image Processing
38. A Bilevel Contextual MRF Model for Supervised Classification of High Spatial Resolution Remote Sensing Images
    Yu Shen, Jianyu Chen, Liang Xiao, Delu Pan · 2019 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
39. Multiple-Feature Latent Space Learning-Based Hyperspectral Image Classification
    Yue Zhao, Jiangtao Peng, Yantao Wei, Qinmu Peng, Yi Mou · 2020 · IEEE Geoscience and Remote Sensing Letters
40. An Overview of Hyperspectral Image Classification by Data-driven Deep Learning
    Xiaochuan Yu, Mary B. Ozdemir, M. K. Joshie · 2023 · Frontiers in Computing and Intelligent Systems
41. Multi-feature sparse representation based on adaptive graph constraint for cropland delineation
    Shaohua Zeng, Meiyang Wang, Hongjie Jia, Jing Hu, Jiao Li · 2023 · Optics Express
42. Context-enriched contrastive auto-encoder with topology learning for medical hyperspectral image classification to diagnose tumors
    Meiling Wang, Changda Xing, Yifang Wu, Cheng Wang · 2026 · Medical Image Analysis
43. Remote sensing image classification algorithm based on ridge wave sparse collaborative representation convolutional neural network
    Fengping An, Jun-e Liu · 2021 · Multimedia Tools and Applications
44. SOML: Structure-Wise Ordinal Measure Learning for Hyperspectral Image Classification
    Changda Xing, Meiling Wang, Yongchang Xu, Zhisheng Wang · 2023 · IEEE Transactions on Instrumentation and Measurement
45. Extended Semantic Edge-Aware Filtering Profile for Hyperspectral Image Classification
    Kunal Pradhan, Swarnajyoti Patra, Lorenzo Bruzzone · 2024 · IEEE Geoscience and Remote Sensing Letters
46. Spatial-Spectral Transformer for Local and Global Hyperspectral Image Classification
    MengXin Cao, Guixin Zhao · 2024 · IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
47. Optimized Spatial Gradient Transfer for Hyperspectral-LiDAR Data Classification
    Bing Tu, Yu Lin Zhu, Chengle Zhou, Siyuan Chen, Antonio Plaza · 2022 · Remote Sensing
48. Hyperspectral Image Classification via Hierarchical Features Adaptive Fusion Network
    Zehui Sun, Qin Xu, Fenglei Li, Yiming Mei, Bin Luo · 2020 · Lecture notes in computer science
49. A Novel Approach in Adopting Finite State Automata for Image Processing Applications
    R. Obulakonda Reddy, Kashyap D. Dhruve, Rashmi Reddy, M. Radha, Nilesh Vani · 2018 · International Journal of Computer Vision and Image Processing
50. Key-Frame Detection and Super-Resolution of Hyperspectral Video via Sparse-Based Cumulative Tensor Factorization
    Ruofei Zhou, Gang Wang, Bo Li, Jinlong Wang, Tianzhu Liu, Chungang Liu · 2020 · Mathematical Problems in Engineering
51. Network Partition-Based Multi-Timescale Coordinated Voltage Regulation of Distribution Networks with High-Penetration Distributed PVs
    Kanglong Zhu, Hongpei Qin, Jingtao Zhao, Can Wan, Shu Zheng, Xiaoyan Zhang · 2024 · IEEE Conference on Energy Internet and Energy System Integration (EI2)
52. Discriminative Eigenpixels-Based Dictionary Learning for Hyperspectral Image Classification
    Lin Song, Shuying Li · 2019 · IEEE Geoscience and Remote Sensing Letters
53. Global-Local Channel Attention for Hyperspectral Image Classification
    Peilin Yan, Haolin Qin, Jihui Wang, Tingfa Xu, Liqiang Song, Hui Li, Jianan Li · 2021 · International Conference on Electrical, Computer and Energy Technologies (ICECET)
54. Hyperspectral Image Classification Using Multi-feature Fusion Residual Hypergraph Convolution Network
    Tianxing Zhu, Qin Liu, Lixiang Zhang · 2023
55. ASP-Model: An Advanced Deep Learning Framework to Reconstruct Hyperspectral Cubes for Computed Tomography Imaging System
    Yifan Si, Shuo Li, Xiaodong Wang, Sailing He · 2025 · IEEE Transactions on Instrumentation and Measurement
56. An autofocus algorithm for microscopic hyperspectral imaging system with adaptive wavelength variation
    Xingyu Sun, Yan Wang, Qingli Li · 2022 · International Conference on Bioinformatics and Biomedical Technology (ICBBT)
57. LiteDepthwiseNet: An Extreme Lightweight Network for Hyperspectral Image Classification
    Benlei Cui, Xuemei Dong, Qiaoqiao Zhan, Jiangtao Peng, Weiwei Sun · 2020 · arXiv (Cornell University)
58. Structure Extraction With Total Variation for Hyperspectral Image Classification
    Qiaoqiao Li, Haibo Wang, Guoyue Chen, Kazuki Saruta, Yuki Terata · 2019 · IEEE Access
59. Hyperspectral Image Classification Based on Adaptive Sparse Deep Network
    Jingwen Yan, Zixin Xie, Jingyao Chen, Liu, Yinan, Lei Liu · 2019 · arXiv (Cornell University)
60. Adaptive and Rotating Non-local Weighted Joint Sparse Representation Classification for Hyperspectral Images
    Jingwen Yan, Hongda Chen, Zixin Xie, Lei Liu · 2019 · Lecture notes in computer science
61. ASPCNet: A Deep Adaptive Spatial Pattern Capsule Network for Hyperspectral Image Classification
    Jinping Wang, Xiaojun Tan, Jianhuang Lai, Jun Li, Canqun Xiang · 2021 · arXiv (Cornell University)
62. Automatic translation system for characters of foreign literary works based on sparse representation
    Xiangli Zhai · 2021 · International Conference on Intelligent Computing and Control Systems (ICICCS)
63. Efficient indoor localization with wireless sensor networks via learnable sparse coding
    Xiang Li · 2023 · Measurement Science and Technology
64. Effective superpixel sparse representation classification method with multiple features and L0 smoothing for hyperspectral images
    Huixian Lin, Hong Xia Du, Xiaoguang Zhang · 2023 · Journal of Applied Remote Sensing
65. Spectral-spatial inverted residual attention network for hyperspectral image classification with pre-activation
    Gan Yang, Zhaohui Wang · 2024 · International Conference on Graphics and Image Processing (ICGIP)
66. Semantic-Aware Image Filtering for Classification of Hyperspectral Images
    Kunal Pradhan, Swarnajyoti Patra · 2024 · Proceedings in adaptation, learning and optimization
67. Research on image processing based on machine learning feature fusion and sparse representation
    Aiwu Chen · 2025 · Applied Mathematics and Nonlinear Sciences
68. Reduced parameter sensitivity in semantic edge-aware image filtering
    Kunal Pradhan, Swarnajyoti Patra · 2025 · SSRN Electronic Journal
69. Multi-branch multi-attention framework for hyperspectral image classification (MB-MA-HIC)
    Mohammad Ahangar Kiasari, Leila Talebi Jouneghani, Amirhossein Nikoofard, Ik Hyun Lee · 2026 · Multimedia Tools and Applications
70. Multiple feature fusion using supervised multiset canonical correlations with power-symmetric successive overrelaxation
    Jing Yang, Xizhan Gao, Quansen Sun, Zhimin Liu · 2026 · Applied Intelligence
71. MDHANet: Rethinking HOG as a Prior in Dense Networks with Self-Attention for Hyperspectral Image Classification
    Hongwei Zhang, Yuanyuan Gui, Junjie Mou, Chao Lian · 2026 · Sensors
72. High-Order Tensorized Across-View Representation for Hyperspectral Image Classification
    Changda Xing, Meiling Wang, Yongchang Xu, Cheng Wang · 2026 · IEEE Signal Processing Letters