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Generalized Graph-Based Fusion of Hyperspectral and LiDAR Data Using Morphological Features

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-33140-4_25openalex-snapshot
Classification of Hyperspectral Data over Urban Areas Based on Extended Morphological Profile with Partial Reconstruction
inferredcites →https://doi.org/10.1016/j.rse.2006.09.013openalex-snapshot
Fusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization
inferredcites →https://doi.org/10.1080/01431160903439882openalex-snapshot
Information fusion of aerial images and LIDAR data in urban areas: vector-stacking, re-classification and post-processing approaches
inferredcites →https://doi.org/10.1080/01431161.2010.512425openalex-snapshot
Extended profiles with morphological attribute filters for the analysis of hyperspectral data
inferredcites →https://doi.org/10.1109/igarss.2007.4423943openalex-snapshot
Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles
inferredcites →https://doi.org/10.1109/jstars.2012.2190045openalex-snapshot
Classification of Hyperspectral Data Over Urban Areas Using Directional Morphological Profiles and Semi-Supervised Feature Extraction
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/jstsp.2012.2208177openalex-snapshot
Classification of Remote Sensing Optical and LiDAR Data Using Extended Attribute Profiles
inferredcites →https://doi.org/10.1109/lgrs.2010.2091253openalex-snapshot
Classification of Hyperspectral Images by Using Extended Morphological Attribute Profiles and Independent Component Analysis
inferredcites →https://doi.org/10.1109/tgrs.2004.825578openalex-snapshot
Nonparametric weighted feature extraction for classification
inferredcites →https://doi.org/10.1109/tgrs.2008.2000628openalex-snapshot
Improved Classification of VHR Images of Urban Areas Using Directional Morphological Profiles
inferredcites →https://doi.org/10.1109/tgrs.2008.916480openalex-snapshot
Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas
inferredcites →https://doi.org/10.1109/tgrs.2008.922034openalex-snapshot
Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles
inferredcites →https://doi.org/10.1109/tgrs.2011.2162339openalex-snapshot
On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification
inferredcites →https://doi.org/10.1109/tgrs.2012.2202912openalex-snapshot
An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1162/089976698300017467openalex-snapshot
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0080openalex-snapshot
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering

What points at this work

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

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Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion With Missing Data
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MSLAENet: Multiscale Learning and Attention Enhancement Network for Fusion Classification of Hyperspectral and LiDAR Data
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Hyperspectral and LiDAR Representation With Spectral–Spatial Graph Network
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Multiscale Spectral–Spatial Attention Residual Fusion Network for Multisource Remote Sensing Data Classification
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Modality Fusion Vision Transformer for Hyperspectral and LiDAR Data Collaborative Classification
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Pseudolabeling Contrastive Learning for Semisupervised Hyperspectral and LiDAR Data Classification
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Spectral–Spatial Feature Extraction Network With SSM–CNN for Hyperspectral–Multispectral Image Collaborative Classification
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Morphological Attribute Profiles With Partial Reconstruction
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Hyperspectral Feature Extraction Using Total Variation Component Analysis
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Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis
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Dimensionality Reduction by Spatial–Spectral Preservation in Selected Bands
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Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis
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Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
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Multiple Feature-Based Superpixel-Level Decision Fusion for Hyperspectral and LiDAR Data Classification
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Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification
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Multisource Remote Sensing Data Classification With Graph Fusion Network
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Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network
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Convolutional Neural Networks for Multimodal Remote Sensing Data Classification
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A Triplet Semisupervised Deep Network for Fusion Classification of Hyperspectral and LiDAR Data
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Global–Local Transformer Network for HSI and LiDAR Data Joint Classification
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Joint Classification of Hyperspectral and LiDAR Data Using a Hierarchical CNN and Transformer
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Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification
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Adversarial Complementary Learning for Multisource Remote Sensing Classification
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Shadow-Less Intrinsic Hyperspectral Point Cloud Generation From HSIs and LiDAR
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UCSL: Toward Unsupervised Common Subspace Learning for Cross-Modal Image Classification
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Multimodal Transformer Network for Hyperspectral and LiDAR Classification
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Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework
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Dual-Branch Dynamic Modulation Network for Hyperspectral and LiDAR Data Classification
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Cross-Modal Contrastive Learning for Remote Sensing Image Classification
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Multisource Joint Representation Learning Fusion Classification for Remote Sensing Images
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DSHFNet: Dynamic Scale Hierarchical Fusion Network Based on Multiattention for Hyperspectral Image and LiDAR Data Classification
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Hashing-Based Deep Metric Learning for the Classification of Hyperspectral and LiDAR Data
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Multiview Feature Learning and Multilevel Information Fusion for Joint Classification of Hyperspectral and LiDAR Data
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Robust Land Cover Classification With Multimodal Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3353775openalex-snapshot
Joint Classification of Hyperspectral and LiDAR Data Using Height Information Guided Hierarchical Fusion-and-Separation Network
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3374324openalex-snapshot
Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3452650openalex-snapshot
Remote Sensing Collaborative Classification Using Multimodal Adaptive Modulation Network
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3465030openalex-snapshot
Local-to-Global Cross-Modal Attention-Aware Fusion for HSI-X Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3476975openalex-snapshot
Deep Symmetric Fusion Transformer for Multimodal Remote Sensing Data Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3478393openalex-snapshot
Gradient Decoupled Learning With Unimodal Regularization for Multimodal Remote Sensing Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3490752openalex-snapshot
MCFT: Multimodal Contrastive Fusion Transformer for Classification of Hyperspectral Image and LiDAR Data
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3533475openalex-snapshot
Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Multimodal Feature Aggregation-Based Multihead Axial Attention Transformer
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3562246openalex-snapshot
Feature Reconstruction Guided Fusion Network for Hyperspectral and LiDAR Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3567632openalex-snapshot
Fractional Fourier-Enhanced Fusion Network Based on Pareto Optimization for Hyperspectral and LiDAR Data Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3589487openalex-snapshot
SemiBaCon: Semi-Supervised Balanced Contrastive Learning for Multimodal Remote Sensing Image Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3596265openalex-snapshot
Heterogeneous Contrastive Graph Fusion Network for Classification of Hyperspectral and LiDAR Data
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3601734openalex-snapshot
TBi-Mamba: Rethinking Joint Classification of Hyperspectral and LiDAR Data With Bidirectional Mamba
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3603835openalex-snapshot
Dynamic Common and Unique Feature Fusion Network for Hyperspectral and LiDAR Data Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3654168openalex-snapshot
Positive Matching Benefits Fusion: A Novel Contrastive Learning Framework for Hyperspectral and LiDAR Data Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3686762openalex-snapshot
Boosting Multimodal Remote Sensing Image Classification With Transformer-Based Heterogeneously Salient Graph Representation
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3723811openalex-snapshot
DRIDNet: Diffusion-Regularized Intrinsic Decomposition Network for Shadow Robust Hyperspectral and LiDAR Classification
inferred← citeshttps://doi.org/10.1109/tip.2024.3394217openalex-snapshot
Relationship Learning From Multisource Images via Spatial-Spectral Perception Network
inferred← citeshttps://doi.org/10.1109/wacv56688.2023.00629openalex-snapshot
GAF-Net: Improving the Performance of Remote Sensing Image Fusion using Novel Global Self and Cross Attention Learning
inferred← citeshttps://doi.org/10.1109/whispers.2016.8071662openalex-snapshot
Fusion of hyperspectral and LiDAR data using random feature selection and morphological attribute profiles
inferred← citeshttps://doi.org/10.1109/whispers.2016.8071777openalex-snapshot
Discriminative graph-based dimensionality reduction for hyperspectral image classification
inferred← citeshttps://doi.org/10.1111/phor.70014openalex-snapshot
Cross‐Transformer Fusion Network for Multimodal Remote Sensing Image Classification
inferred← citeshttps://doi.org/10.1117/1.jrs.16.034523openalex-snapshot
Fusion of hyperspectral and LiDAR data using sparse stacked autoencoder for land cover classification with 3D-2D convolutional neural network
inferred← citeshttps://doi.org/10.1117/12.2222164openalex-snapshot
Multisensor multiresolution data fusion for improvement in classification
inferred← citeshttps://doi.org/10.1117/12.2680025openalex-snapshot
Hyperspectral image classification aided by LiDAR data
inferred← citeshttps://doi.org/10.1117/12.3037704openalex-snapshot
LiDAR and hyperspectral remote sensing image fusion using extended extrema morphological profiles for semantic segmentation
inferred← citeshttps://doi.org/10.11834/jrs.20197512openalex-snapshot
Urban classification by multi-feature fusion of hyperspectral image and LiDAR data
inferred← citeshttps://doi.org/10.1371/journal.pone.0304999openalex-snapshot
CMR-net: A cross modality reconstruction network for multi-modality remote sensing classification
inferred← citeshttps://doi.org/10.18122/td/1636/boisestateopenalex-snapshot
Characterizing Dryland Ecosystems Using Remote Sensing and Dynamic Global Vegetation Modeling
inferred← citeshttps://doi.org/10.2139/ssrn.5599466openalex-snapshot
Frequency Domain Kolmogorov-Arnold Network for Multimodal Remote Sensing Image Classification
inferred← citeshttps://doi.org/10.32469/10355/63615openalex-snapshot
Multiple Instance Choquet Integral for multiresolution sensor fusion
inferred← citeshttps://doi.org/10.3390/app12083943openalex-snapshot
Hyperspectral Image Classification with Imbalanced Data Based on Semi-Supervised Learning
inferred← citeshttps://doi.org/10.3390/app14125061openalex-snapshot
IFF-Net: Irregular Feature Fusion Network for Multimodal Remote Sensing Image Classification
inferred← citeshttps://doi.org/10.3390/app15179641openalex-snapshot
Land Use/Land Cover Remote Sensing Classification in Complex Subtropical Karst Environments: Challenges, Methodological Review, and Research Frontiers
inferred← citeshttps://doi.org/10.3390/rs10101649openalex-snapshot
Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/rs11050550openalex-snapshot
Hyperspectral and LiDAR Data Fusion Classification Using Superpixel Segmentation-Based Local Pixel Neighborhood Preserving Embedding
inferred← citeshttps://doi.org/10.3390/rs11060681openalex-snapshot
A Comparative Review of Manifold Learning Techniques for Hyperspectral and Polarimetric SAR Image Fusion
inferred← citeshttps://doi.org/10.3390/rs11171959openalex-snapshot
Coupled Higher-Order Tensor Factorization for Hyperspectral and LiDAR Data Fusion and Classification
inferred← citeshttps://doi.org/10.3390/rs11182141openalex-snapshot
Regional Scale Dryland Vegetation Classification with an Integrated Lidar-Hyperspectral Approach
inferred← citeshttps://doi.org/10.3390/rs12091392openalex-snapshot
Improving Land Cover Classification Using Extended Multi-Attribute Profiles (EMAP) Enhanced Color, Near Infrared, and LiDAR Data
inferred← citeshttps://doi.org/10.3390/rs12122000openalex-snapshot
Deep Learning for Land Cover Classification Using Only a Few Bands
inferred← citeshttps://doi.org/10.3390/rs12122067openalex-snapshot
A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/rs12172683openalex-snapshot
Graph-Based Data Fusion Applied to: Change Detection and Biomass Estimation in Rice Crops
inferred← citeshttps://doi.org/10.3390/rs12233880openalex-snapshot
An Accurate Vegetation and Non-Vegetation Differentiation Approach Based on Land Cover Classification
inferred← citeshttps://doi.org/10.3390/rs12244034openalex-snapshot
Multilevel Structure Extraction-Based Multi-Sensor Data Fusion
inferred← citeshttps://doi.org/10.3390/rs13061143openalex-snapshot
Relative Total Variation Structure Analysis-Based Fusion Method for Hyperspectral and LiDAR Data Classification
inferred← citeshttps://doi.org/10.3390/rs15112706openalex-snapshot
Joint Classification of Hyperspectral and LiDAR Data Using Binary-Tree Transformer Network
inferred← citeshttps://doi.org/10.3390/rs15174148openalex-snapshot
Feature-Decision Level Collaborative Fusion Network for Hyperspectral and LiDAR Classification
inferred← citeshttps://doi.org/10.3390/rs15174255openalex-snapshot
Invariant Attribute-Driven Binary Bi-Branch Classification of Hyperspectral and LiDAR Images
inferred← citeshttps://doi.org/10.3390/rs16224317openalex-snapshot
Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method
inferred← citeshttps://doi.org/10.3390/rs17071298openalex-snapshot
Land Use and Land Cover Classification with Deep Learning-Based Fusion of SAR and Optical Data
inferred← citeshttps://doi.org/10.3390/rs17081373openalex-snapshot
A Survey of Sampling Methods for Hyperspectral Remote Sensing: Addressing Bias Induced by Random Sampling
inferred← citeshttps://doi.org/10.3390/rs17162826openalex-snapshot
Multimodal Prompt Tuning for Hyperspectral and LiDAR Classification
inferred← citeshttps://doi.org/10.3390/rs9111094openalex-snapshot
Hashing Based Hierarchical Feature Representation for Hyperspectral Imagery Classification
inferred← citeshttps://doi.org/10.3390/s17092087openalex-snapshot
A Robust Sparse Representation Model for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.3390/s20185262openalex-snapshot
A Robust Dynamic Classifier Selection Approach for Hyperspectral Images with Imprecise Label Information
inferred← citeshttps://doi.org/10.3390/s22228942openalex-snapshot
An Advanced Data Fusion Method to Improve Wetland Classification Using Multi-Source Remotely Sensed Data
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/10.34133/2021/9825415openalex-snapshot
Shearlet-Based Structure-Aware Filtering for Hyperspectral and LiDAR Data Classification
inferred← citeshttps://doi.org/10.3788/lop230540openalex-snapshot
基于对比学习的高光谱和LiDAR地物分类方法
inferred← citeshttps://doi.org/10.3990/2.410openalex-snapshot
Fusion of optical and liDAR images for urban objects recognition
inferred← citeshttps://doi.org/10.5120/21263-3846openalex-snapshot
Image Fusion in Remote Sensing Applications: A Review
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlii-3-w3-195-2017openalex-snapshot
CLASS-PAIR-GUIDED MULTIPLE KERNEL LEARNING OF INTEGRATING HETEROGENEOUS FEATURES FOR CLASSIFICATION
inferred← citeshttps://doi.org/10.5194/isprsarchives-xl-1-w5-287-2015openalex-snapshot
3D OBJECT CLASSIFICATION BASED ON THERMAL AND VISIBLE IMAGERY IN URBAN AREA
inferred← citeshttps://doi.org/10.70675/ddaba7e6ze390z4fd9z9cd1zbb2baf52e7dcopenalex-snapshot
Fusion of 3D point clouds and hyperspectral data for the extraction of geometric and radiometric features of trees.
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