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Multisource Remote Sensing Data Classification With Graph Fusion Network

https://doi.org/10.1109/tgrs.2020.3047130
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-42297-8_21openalex-snapshot
Hyperspectral Image Classification with Polynomial Laplacian Embedding
inferredcites →https://doi.org/10.1016/j.inffus.2015.06.006openalex-snapshot
Combining the spectral PCA and spatial PCA fusion methods by an optimal filter
inferredcites →https://doi.org/10.1016/j.inffus.2016.03.003openalex-snapshot
A review of remote sensing image fusion methods
inferredcites →https://doi.org/10.1016/j.isprsjprs.2018.10.006openalex-snapshot
Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification
inferredcites →https://doi.org/10.1016/j.rse.2017.04.007openalex-snapshot
UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA
inferredcites →https://doi.org/10.1080/01431161.2015.1007251openalex-snapshot
Improving hyperspectral image classification by combining spectral, texture, and shape features
inferredcites →https://doi.org/10.1080/2150704x.2020.1746855openalex-snapshot
A deep feature manifold embedding method for hyperspectral image classification
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053924openalex-snapshot
LEt-SNE: A Hybrid Approach to Data Embedding and Visualization Of Hyperspectral Imagery
inferredcites →https://doi.org/10.1109/icip.2017.8296897openalex-snapshot
A graph-based approach for feature extraction and segmentation of multimodal images
inferredcites →https://doi.org/10.1109/igarss.2014.6946657openalex-snapshot
Combining feature fusion and decision fusion for classification of hyperspectral and LiDAR data
inferredcites →https://doi.org/10.1109/igarss.2015.7325695openalex-snapshot
Semi-supervised graph fusion of hyperspectral and lidar data for classification
inferredcites →https://doi.org/10.1109/igarss.2019.8898443openalex-snapshot
Collaborative Classification of Hyperspectral and Lidar Data With Information Fusion and Deep Nets
inferredcites →https://doi.org/10.1109/jstars.2014.2305441openalex-snapshot
Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest
inferredcites →https://doi.org/10.1109/jstars.2015.2417859openalex-snapshot
Hyperspectral Tree Species Classification of Japanese Complex Mixed Forest With the Aid of Lidar Data
inferredcites →https://doi.org/10.1109/jstars.2015.2432037openalex-snapshot
Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning
inferredcites →https://doi.org/10.1109/jstars.2016.2634863openalex-snapshot
Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network
inferredcites →https://doi.org/10.1109/jstars.2019.2913206openalex-snapshot
Hyperspectral and LiDAR Data Classification Using Kernel Collaborative Representation Based Residual Fusion
inferredcites →https://doi.org/10.1109/jstars.2019.2962659openalex-snapshot
Inverse Coefficient of Variation Feature and Multilevel Fusion Technique for Hyperspectral and LiDAR Data Classification
inferredcites →https://doi.org/10.1109/jstars.2020.2987305openalex-snapshot
Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes
inferredcites →https://doi.org/10.1109/jstars.2020.2995445openalex-snapshot
Adaptive Residual Convolutional Neural Network for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/lgrs.2014.2350263openalex-snapshot
Generalized Graph-Based Fusion of Hyperspectral and LiDAR Data Using Morphological Features
inferredcites →https://doi.org/10.1109/lgrs.2017.2687519openalex-snapshot
Discriminative Graph-Based Fusion of HSI and LiDAR Data for Urban Area Classification
inferredcites →https://doi.org/10.1109/lgrs.2017.2704625openalex-snapshot
Deep Fusion of Remote Sensing Data for Accurate Classification
inferredcites →https://doi.org/10.1109/lgrs.2017.2737020openalex-snapshot
Embedding Learning on Spectral–Spatial Graph for Semisupervised Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/lgrs.2018.2869563openalex-snapshot
Spectral–Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/mgrs.2018.2890023openalex-snapshot
Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art
inferredcites →https://doi.org/10.1109/tcyb.2021.3069790openalex-snapshot
Deep Manifold Embedding for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tgrs.2004.825593openalex-snapshot
Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition
inferredcites →https://doi.org/10.1109/tgrs.2004.842478openalex-snapshot
Classification of hyperspectral data from urban areas based on extended morphological profiles
inferredcites →https://doi.org/10.1109/tgrs.2015.2466657openalex-snapshot
Integrating Hierarchical Segmentation Maps With MRF Prior for Classification of Hyperspectral Images in a Bayesian Framework
inferredcites →https://doi.org/10.1109/tgrs.2016.2514481openalex-snapshot
Multisource Geospatial Data Fusion via Local Joint Sparse Representation
inferredcites →https://doi.org/10.1109/tgrs.2016.2561842openalex-snapshot
Extinction Profiles for the Classification of Remote Sensing Data
inferredcites →https://doi.org/10.1109/tgrs.2017.2686450openalex-snapshot
Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis
inferredcites →https://doi.org/10.1109/tgrs.2017.2703598openalex-snapshot
Dimensionality Reduction by Spatial–Spectral Preservation in Selected Bands
inferredcites →https://doi.org/10.1109/tgrs.2017.2726901openalex-snapshot
Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis
inferredcites →https://doi.org/10.1109/tgrs.2017.2756851openalex-snapshot
Multisource Remote Sensing Data Classification Based on Convolutional Neural Network
inferredcites →https://doi.org/10.1109/tgrs.2018.2818945openalex-snapshot
3-D Deep Learning Approach for Remote Sensing Image Classification
inferredcites →https://doi.org/10.1109/tgrs.2018.2875304openalex-snapshot
Hyperspectral Image Denoising by Fusing the Selected Related Bands
inferredcites →https://doi.org/10.1109/tgrs.2019.2919472openalex-snapshot
Full-Waveform Airborne LiDAR Data Classification Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/tgrs.2019.2931801openalex-snapshot
Remote Sensing Scene Classification by Gated Bidirectional Network
inferredcites →https://doi.org/10.1109/tgrs.2019.2946751openalex-snapshot
Subspace Clustering Constrained Sparse NMF for Hyperspectral Unmixing
inferredcites →https://doi.org/10.1109/tgrs.2019.2951160openalex-snapshot
Spectral–Spatial Attention Network for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tgrs.2020.2982064openalex-snapshot
Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture
inferredcites →https://doi.org/10.1109/tgrs.2020.3015157openalex-snapshot
Graph Convolutional Networks for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tgrs.2020.3016820openalex-snapshot
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification
inferredcites →https://doi.org/10.1109/tip.2017.2725580openalex-snapshot
Going Deeper With Contextual CNN for Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tip.2018.2878958openalex-snapshot
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
inferredcites →https://doi.org/10.1109/whispers.2016.8071715openalex-snapshot
Classification of pixel-level fused hyperspectral and lidar data using deep convolutional neural networks
inferredcites →https://doi.org/10.1117/12.2050651openalex-snapshot
Schroedinger Eigenmaps with nondiagonal potentials for spatial-spectral clustering of hyperspectral imagery
inferredcites →https://doi.org/10.3390/rs10101649openalex-snapshot
Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks
inferredcites →https://doi.org/10.3390/rs9111145openalex-snapshot
A New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral Mapping
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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DLAFNet: Direct LiDAR-Aerial Fusion Network for Semantic Segmentation of 2-D Aerial Image and 3-D LiDAR Point Cloud
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Crossmodal Sequential Interaction Network for Hyperspectral and LiDAR Data Joint Classification
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Joint Contextual Representation Model-Informed Interpretable Network With Dictionary Aligning for Hyperspectral and LiDAR Classification
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Mutual Attention Inception Network for Remote Sensing Visual Question Answering
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Information Fusion for Classification of Hyperspectral and LiDAR Data Using IP-CNN
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SCIIENet: Shared and Complementary Information Interaction Enhancement Network for Self-Supervised Multimodal Remote Sensing Image Classification
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A Novel Remote Sensing Framework Integrating Geostatistical Methods and Machine Learning for Spatial Prediction of Diversity Indices in the Desert Steppe
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A Multi-Scale Attention-Based Optimized Hybrid Deep Learning Model for Accurate Soil Salinity Mapping in Arid Oases
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Feature-Decision Level Collaborative Fusion Network for Hyperspectral and LiDAR Classification
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Q-A2NN: Quantized All-Adder Neural Networks for Onboard Remote Sensing Scene Classification
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Multi-Feature Cross Attention-Induced Transformer Network for Hyperspectral and LiDAR Data Classification
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TCPSNet: Transformer and Cross-Pseudo-Siamese Learning Network for Classification of Multi-Source Remote Sensing Images
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Hypergraph Representation Learning for Remote Sensing Image Change Detection
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Remote Sensing LiDAR and Hyperspectral Classification with Multi-Scale Graph Encoder–Decoder Network
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Weakly Supervised Instance Segmentation in Aerial Images via Comprehensive Spatial Adaptation
inferred← citeshttps://doi.org/10.3390/rs17020190openalex-snapshot
Efficient Hyperspectral Video Reconstruction via Dual-Channel DMD Encoding
inferred← citeshttps://doi.org/10.3390/rs17101797openalex-snapshot
SFANet: A Ground Object Spectral Feature Awareness Network for Multimodal Remote Sensing Image Semantic Segmentation
inferred← citeshttps://doi.org/10.3390/s24030867openalex-snapshot
Joint Classification of Hyperspectral Images and LiDAR Data Based on Dual-Branch Transformer
inferred← citeshttps://doi.org/10.3390/s25103092openalex-snapshot
Hypergraph Convolution Network Classification for Hyperspectral and LiDAR Data
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