Related references
Note: Only part of the references are listed.Faster Multiscale Capsule Network With Octave Convolution for Hyperspectral Image Classification
Qin Xu et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2021)
Fusion of Multispectral LiDAR, Hyperspectral, and RGB Data for Urban Land Cover Classification
Ronny Haensch et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2021)
Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial-Spectral Attention Network
Xu Tang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)
Feature Extraction for Classification of Hyperspectral and LiDAR Data Using Patch-to-Patch CNN
Mengmeng Zhang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2020)
Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection
Xin Wu et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)
Blood Cell Classification Based on Hyperspectral Imaging With Modulated Gabor and CNN
Qian Huang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
Hyperspectral and LiDAR Classification With Semisupervised Graph Fusion
Junshi Xia et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
Danfeng Hong et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
Renlong Hang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Texture-aware total variation-based removal of sun glint in hyperspectral images
Puhong Duan et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture
Xudong Zhao et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)
Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification
Yonghao Xu et al.
IEEE TRANSACTIONS ON BIG DATA (2020)
Hyperspectral Image Classification in the Presence of Noisy Labels
Junjun Jiang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification
Mercedes E. Paoletti et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Multisource and Multitemporal Data Fusion in Remote Sensing A comprehensive review of the state of the art
Pedram Ghamisi et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2019)
Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation
Puhong Duan et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2019)
Hyperspectral Anomaly Detection by Fractional Fourier Entropy
Ran Tao et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2019)
Fusion of Multiple Edge-Preserving Operations for Hyperspectral Image Classification
Puhong Duan et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Multisource Hyperspectral and LiDAR Data Fusion for Urban Land-Use Mapping based on a Modified Two-Branch Convolutional Neural Network
Quanlong Feng et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)
MULTISOURCE REMOTE SENSING DATA CLASSIFICATION USING DEEP HIERARCHICAL RANDOM WALK NETWORKS
Xudong Zhao et al.
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) (2019)
Multisource Remote Sensing Data Classification Based on Convolutional Neural Network
Xiaodong Xu et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)
Gabor Convolutional Networks
Shangzhen Luan et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)
Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network
Xiangyong Cao et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)
Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions
Xiaolin Zhu et al.
REMOTE SENSING (2018)
Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network
Yushi Chen et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Fusion of Hyperspectral and LiDAR Data for Classification of Cloud-Shadow Mixed Remote Sensed Scene
Renbo Luo et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)
Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis
Behnood Rasti et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Hyperspectral and Lidar Intensity Data Fusion: A Framework for the Rigorous Correction of Illumination, Anisotropic Effects, and Cross Calibration
Maximilian Brell 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)
Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis
Behnood Rasti et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
Going Deeper With Contextual CNN for Hyperspectral Image Classification
Hyungtae Lee et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)
Collaborative classification of hyperspectral and visible images with convolutional neural network
Mengmeng Zhang et al.
JOURNAL OF APPLIED REMOTE SENSING (2017)
Classification of hyperspectral and LIDAR data using extinction profiles with feature fusion
Mengmeng Zhang et al.
REMOTE SENSING LETTERS (2017)
Optimal Decision Fusion for Urban Land-Use/Land-Cover Classification Based on Adaptive Differential Evolution Using Hyperspectral and LiDAR Data
Yanfei Zhong et al.
REMOTE SENSING (2017)
Effect of Training Class Label Noise on Classification Performances for Land Cover Mapping with Satellite Image Time Series
Charlotte Pelletier et al.
REMOTE SENSING (2017)
Multisource Geospatial Data Fusion via Local Joint Sparse Representation
Yuhang Zhang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2016)
Data Fusion and Remote Sensing An ever-growing relationship
Michael Schmitt et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2016)
Hyperspectral Tree Species Classification of Japanese Complex Mixed Forest With the Aid of Lidar Data
Tomohiro Matsuki et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2015)
Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning
Mahdi Khodadadzadeh et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2015)
Extended Random Walker-Based Classification of Hyperspectral Images
Xudong Kang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)
Land-cover classification using both hyperspectral and LiDAR data
Pedram Ghamisi et al.
INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION (2015)
A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical Segmentation
Jinha Jung et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates
Kun Liu et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2014)
Classification in the Presence of Label Noise: a Survey
Benoit Frenay et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2014)
AUTOMATIC FUSION AND CLASSIFICATION OF HYPERSPECTRAL AND LIDAR DATA USING RANDOM FORESTS
Andreas Merentitis et al.
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) (2014)
Full-waveform topographic lidar: State-of-the-art
Clement Mallet et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2009)
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)
Fast approximation of Kullback-Leibler distance for dependence trees and hidden Markov models
MN Do
IEEE SIGNAL PROCESSING LETTERS (2003)