Deep neural networks-based relevant latent representation learning for hyperspectral image classification
出版年份 2021 全文链接
标题
Deep neural networks-based relevant latent representation learning for hyperspectral image classification
作者
关键词
Deep learning, Representation learning, Hyperspectral image classification, Feature extraction
出版物
PATTERN RECOGNITION
Volume 121, Issue -, Pages 108224
出版商
Elsevier BV
发表日期
2021-08-03
DOI
10.1016/j.patcog.2021.108224
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Deep support vector machine for hyperspectral image classification
- (2020) Onuwa Okwuashi et al. PATTERN RECOGNITION
- Fused 3-D spectral-spatial deep neural networks and spectral clustering for hyperspectral image classification
- (2020) Akrem Sellami et al. PATTERN RECOGNITION LETTERS
- Hyperspectral remote sensing image classification based on tighter random projection with minimal intra-class variance algorithm
- (2020) Quanhua Zhao et al. PATTERN RECOGNITION
- Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss
- (2020) Ke-Kun Huang et al. PATTERN RECOGNITION
- Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification
- (2019) Peicheng Zhou et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Deep Learning for Hyperspectral Image Classification: An Overview
- (2019) Shutao Li et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
- (2019) Sheng Wan et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Classification of Hyperspectral Imagery Using a New Fully Convolutional Neural Network
- (2018) Jiaojiao Li et al. IEEE Geoscience and Remote Sensing Letters
- Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques
- (2018) Akrem Sellami et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Classification of Hyperspectral Images by Gabor Filtering Based Deep Network
- (2018) Xudong Kang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Deep Multiscale Spectral-Spatial Feature Fusion for Hyperspectral Images Classification
- (2018) Miaomiao Liang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Exploring Hierarchical Convolutional Features for Hyperspectral Image Classification
- (2018) Gong Cheng et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs
- (2018) Gong Cheng et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Graph-Regularized Fast and Robust Principal Component Analysis for Hyperspectral Band Selection
- (2018) Weiwei Sun et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
- (2018) Zilong Zhong et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Spatial and class structure regularized sparse representation graph for semi-supervised hyperspectral image classification
- (2018) Yuanjie Shao et al. PATTERN RECOGNITION
- Active multi-kernel domain adaptation for hyperspectral image classification
- (2018) Cheng Deng et al. PATTERN RECOGNITION
- Joint bilateral filtering and spectral similarity-based sparse representation: A generic framework for effective feature extraction and data classification in hyperspectral imaging
- (2018) Tong Qiao et al. PATTERN RECOGNITION
- Material based salient object detection from hyperspectral images
- (2018) Jie Liang et al. PATTERN RECOGNITION
- Semi-supervised dimensionality reduction of hyperspectral imagery using pseudo-labels
- (2018) Hao Wu et al. PATTERN RECOGNITION
- Superpixel-based 3D deep neural networks for hyperspectral image classification
- (2018) Cheng Shi et al. PATTERN RECOGNITION
- Discriminant Analysis-Based Dimension Reduction for Hyperspectral Image Classification: A Survey of the Most Recent Advances and an Experimental Comparison of Different Techniques
- (2018) Wei Li et al. IEEE Geoscience and Remote Sensing Magazine
- Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification
- (2018) Anyong Qin et al. IEEE Geoscience and Remote Sensing Letters
- Encoding Spectral and Spatial Context Information for Hyperspectral Image Classification
- (2017) Xin Sun et al. IEEE Geoscience and Remote Sensing Letters
- Unsupervised Hyperspectral Band Selection by Fuzzy Clustering With Particle Swarm Optimization
- (2017) Mingyang Zhang et al. IEEE Geoscience and Remote Sensing Letters
- Spatial–Spectral Locality-Constrained Low-Rank Representation with Semi-Supervised Hypergraph Learning for Hyperspectral Image Classification
- (2017) Qingshan Liu et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- R-VCANet: A New Deep-Learning-Based Hyperspectral Image Classification Method
- (2017) Bin Pan et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks
- (2017) Shaohui Mei et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Hyperspectral image reconstruction by deep convolutional neural network for classification
- (2017) Yunsong Li et al. PATTERN RECOGNITION
- Deep Learning With Attribute Profiles for Hyperspectral Image Classification
- (2016) Erchan Aptoula et al. IEEE Geoscience and Remote Sensing Letters
- Spectral–Spatial Classification of Hyperspectral Image Based on Deep Auto-Encoder
- (2016) Xiaorui Ma et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach
- (2016) Wenzhi Zhao et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Unsupervised Deep Feature Extraction for Remote Sensing Image Classification
- (2016) Adriana Romero et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking
- (2016) Qi Wang et al. IEEE Transactions on Neural Networks and Learning Systems
- High-level hyperspectral image classification based on spectro-spatial dimensionality reduction
- (2016) Akrem Sellami et al. Spatial Statistics
- Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network
- (2015) Yushi Chen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Hyperspectral Band Selection Based on Rough Set
- (2015) Swarnajyoti Patra et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Integration of Hyperspectral Imagery and Sparse Sonar Data for Shallow Water Bathymetry Mapping
- (2015) Liang Cheng et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Deep Learning-Based Classification of Hyperspectral Data
- (2014) Yushi Chen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Unsupervised Feature Selection Using Geometrical Measures in Prototype Space for Hyperspectral Imagery
- (2013) Mohsen Ghamary Asl et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Spatial–Spectral Classification of Hyperspectral Images Using Discriminative Dictionary Designed by Learning Vector Quantization
- (2013) Zhaowen Wang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- AutoGAD: An Improved ICA-Based Hyperspectral Anomaly Detection Algorithm
- (2012) Robert J. Johnson et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- An Efficient Method for Supervised Hyperspectral Band Selection
- (2010) He Yang et al. IEEE Geoscience and Remote Sensing Letters
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