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。Hyperspectral Image Classification Based on 3D Coordination Attention Mechanism Network
Cuiping Shi et al.
REMOTE SENSING (2022)
Land use/land cover mapping from airborne hyperspectral images with machine learning algorithms and contextual information
Ozlem Akar et al.
GEOCARTO INTERNATIONAL (2022)
Attention mechanisms in computer vision: A survey
Meng-Hao Guo et al.
COMPUTATIONAL VISUAL MEDIA (2022)
High-Resolution Hyperspectral Imaging Using Low-Cost Components: Application within Environmental Monitoring Scenarios
Mary B. Stuart et al.
SENSORS (2022)
Efficient densely connected convolutional neural networks
Guoqing Li et al.
PATTERN RECOGNITION (2021)
A combination method of stacked autoencoder and 3D deep residual network for hyperspectral image classification
Jinling Zhao et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)
Correlation-based structural dropout for convolutional neural networks
Yuyuan Zeng et al.
PATTERN RECOGNITION (2021)
A review of the medical hyperspectral imaging systems and unmixing algorithms ? in biological tissues
Aziz ul Rehman et al.
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY (2021)
Spectral and Spatial Global Context Attention for Hyperspectral Image Classification
Zhongwei Li et al.
REMOTE SENSING (2021)
Artificial Neural Networks Based Optimization Techniques: A Review
Maher G. M. Abdolrasol et al.
ELECTRONICS (2021)
A review on the attention mechanism of deep learning
Zhaoyang Niu et al.
NEUROCOMPUTING (2021)
Exploring attention mechanisms based on summary information for end-to-end automatic speech recognition
Jiabin Xue et al.
NEUROCOMPUTING (2021)
A 3D Cascaded Spectral-Spatial Element Attention Network for Hyperspectral Image Classification
Huaiping Yan et al.
REMOTE SENSING (2021)
An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization
Rousslan Fernand Julien Dossa et al.
IEEE ACCESS (2021)
Fast and Accurate Real-Time Semantic Segmentation with Dilated Asymmetric Convolutions
Leonel Rosas-Arias et al.
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (2021)
Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network
Rui Li et al.
REMOTE SENSING (2020)
Multispectral and hyperspectral images based land use / land cover change prediction analysis: an extensive review
M. Sam Navin et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
Double-Branch Multi-Attention Mechanism Network for Hyperspectral Image Classification
Wenping Ma et al.
REMOTE SENSING (2019)
Hyperspectral Image Classification Using Random Occlusion Data Augmentation
Juan Mario Haut et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2019)
Recent developments and applications of hyperspectral imaging for rapid detection of mycotoxins and mycotoxigenic fungi in food products
Fuguo Xing et al.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION (2019)
Deformable Convolutional Neural Networks for Hyperspectral Image Classification
Jian Zhu et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)
Classification of Hyperspectral Imagery Using a New Fully Convolutional Neural Network
Jiaojiao Li et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)
Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines
Lin He 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)
Hyperspectral image classification via a random patches network
Yonghao Xu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)
Understanding the effective receptive field in semantic image segmentation
Yongge Liu et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
Deep neural networks with Elastic Rectified Linear Units for object recognition
Xiaoheng Jiang et al.
NEUROCOMPUTING (2018)
Adaptive Batch Normalization for practical domain adaptation
Yanghao Li et al.
PATTERN RECOGNITION (2018)
A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification
Wenju Wang et al.
REMOTE SENSING (2018)
Hyperspectral image classification based on adaptive optimisation of morphological profile and spatial correlation information
Jianshang Liao et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)
Joint Alternate Small Convolution and Feature Reuse for Hyperspectral Image Classification
Hongmin Gao et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2018)
New Frontiers in Spectral-Spatial Hyperspectral Image Classification The latest advances based on mathematical morphology, Markov random fields, segmentation, sparse representation, and deep learning
Pedram Ghamisi et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2018)
Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network
Yushi Chen et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Multimorphological Superpixel Model for Hyperspectral Image Classification
Tianzhu Liu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Convolutional Neural Networks Based Hyperspectral Image Classification Method with Adaptive Kernels
Chen Ding et al.
REMOTE SENSING (2017)
Hyperspectral Image Classification via Multiple-Feature-Based Adaptive Sparse Representation
Leyuan Fang et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
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)
Object recognition using local invariant features for robotic applications: A survey
Patricio Loncomilla et al.
PATTERN RECOGNITION (2016)
Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images
Gabriele Cavallaro et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2015)
Kernel-based methods for hyperspectral image classification
G Camps-Valls et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2005)
Investigation of the random forest framework for classification of hyperspectral data
J Ham et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2005)