相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。3D residual spatial-spectral convolution network for hyperspectral remote sensing image classification
Huseyin Firat et al.
NEURAL COMPUTING & APPLICATIONS (2023)
Two-Branch Convolutional Neural Network with Polarized Full Attention for Hyperspectral Image Classification
Haimiao Ge et al.
REMOTE SENSING (2023)
MS3Net: Multiscale stratified-split symmetric network with quadra-view attention for hyperspectral image classification
Moqi Liu et al.
SIGNAL PROCESSING (2023)
Multimodal Fusion Transformer for Remote Sensing Image Classification
Swalpa Kumar Roy et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2023)
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Wenhai Wang et al.
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2023)
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
Muhammad Ahmad et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2022)
Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework
Zilong Zhong et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
Nonoverlapped Sampling for Hyperspectral Imagery: Performance Evaluation and a Cotraining-Based Classification Strategy
Xianghai Cao et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification
Yao Ding et al.
NEUROCOMPUTING (2022)
FusionNet: A Convolution-Transformer Fusion Network for Hyperspectral Image Classification
Liming Yang et al.
REMOTE SENSING (2022)
Perceiving Spectral Variation: Unsupervised Spectrum Motion Feature Learning for Hyperspectral Image Classification
Yifan Sun et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification
Muhammad Ahmad et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)
Flexible Gabor-Based Superpixel-Level Unsupervised LDA for Hyperspectral Image Classification
Sen Jia et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)
Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification
Siyuan Hao et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)
Spatial-Spectral Transformer for Hyperspectral Image Classification
Xin He et al.
REMOTE SENSING (2021)
Graph Convolutional Networks for Hyperspectral Image Classification
Danfeng Hong et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)
Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review
Sima Peyghambari et al.
JOURNAL OF APPLIED REMOTE SENSING (2021)
TDSSC: A Three-Directions Spectral-Spatial Convolution Neural Network for Hyperspectral Image Change Detection
Tianming Zhan et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)
HybridSN: Exploring 3-D-2-D CNN Feature Hierarchy for Hyperspectral Image Classification
Swalpa Kumar Roy et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers
Ji He et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Multiple Kernel-Based SVM Classification of Hyperspectral Images by Combining Spectral, Spatial, and Semantic Information
Yi Wang et al.
REMOTE SENSING (2020)
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
Sheng Wan et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Spectral-Spatial Attention Network for Hyperspectral Image Classification
Hao Sun et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture
Bing Lu et al.
REMOTE SENSING (2020)
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification
Lichao Mou et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection
Qi Wang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Spectral-Spatial Attention Networks for Hyperspectral Image Classification
Xiaoguang Mei et al.
REMOTE SENSING (2019)
Deep Learning for Classification of Hyperspectral Data
Nicolas Audebert et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2019)
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
Renlong Hang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Evaluation of Deep Learning CNN Model for Land Use Land Cover Classification and Crop Identification Using Hyperspectral Remote Sensing Images
Kavita Bhosle et al.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING (2019)
Multi-Scale CNN Based Garbage Detection of Airborne Hyperspectral Data
Dan Zeng et al.
IEEE ACCESS (2019)
Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks
Ying Zhan et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)
Generative Adversarial Networks for Hyperspectral Image Classification
Lin Zhu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
Zilong Zhong et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
On the Effect of Spatially Non-Disjoint Training and Test Samples on Estimated Model Generalization Capabilities in Supervised Classification With Spatial Features
Christian Geiss et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification
Jingxiang Yang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
On the Sampling Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification
Jie Liang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Deep Recurrent Neural Networks for Hyperspectral Image Classification
Lichao Mou et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
Amy Lowe et al.
PLANT METHODS (2017)
Fast SVD With Random Hadamard Projection for Hyperspectral Dimensionality Reduction
Vineetha Menon et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2016)
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
Yushi Chen et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
Extended Random Walker-Based Classification of Hyperspectral Images
Xudong Kang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)
Deep Convolutional Neural Networks for Hyperspectral Image Classification
Wei Hu et al.
JOURNAL OF SENSORS (2015)
A Study on the Effectiveness of Different Independent Component Analysis Algorithms for Hyperspectral Image Classification
Nicola Falco et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
On the impact of PCA dimension reduction for hyperspectral detection of difficult targets
MD Farrell et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2005)
Classification of hyperspectral remote sensing images with support vector machines
F Melgani et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2004)