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Classification of Remote Sensing Optical and LiDAR Data Using Extended Attribute Profiles
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Attribute Openings, Thinnings, and Granulometries
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Extended profiles with morphological attribute filters for the analysis of hyperspectral data
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Morphological Image Analysis: Principles and Applications
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Pattern spectrum and multiscale shape representation
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Threshold superposition in morphological image analysis systems
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A new approach for the morphological segmentation of high-resolution satellite imagery
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Flat zones filtering, connected operators, and filters by reconstruction
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Antiextensive connected operators for image and sequence processing
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Fast computation of a contrast-invariant image representation
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Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval
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Classification of Hyperspectral Images by Using Extended Morphological Attribute Profiles and Independent Component Analysis
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Automatic Generation of Standard Deviation Attribute Profiles for Spectral–Spatial Classification of Remote Sensing Data
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Advances in mathematical morphology applied to geoscience and remote sensing
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Classification of hyperspectral remote sensing images with support vector machines
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Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations
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Classification of hyperspectral data from urban areas based on extended morphological profiles
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Morphological Attribute Profiles for the Analysis of Very High Resolution Images
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Textural Features for Image Classification
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Support vector machines for hyperspectral remote sensing classification
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Shape Quantization and Recognition with Randomized Trees
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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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.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.2025.3572805openalex-snapshot
CCEnd-Net: Cross-Modal Cascaded Encoder-Decoder Network for Multisource Data Fusion Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3600692openalex-snapshot
Mamba Cross-Modal Information Fusion Self-Distillation Model for Joint Classification of LiDAR and Hyperspectral Data
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.2026.3704974openalex-snapshot
Hierarchical Cross-Modal Feature Shuffling Network for Unsupervised Multimodal Remote Sensing Clustering
inferred← citeshttps://doi.org/10.1109/tgrs.2026.3731189openalex-snapshot
Spatial–Spectral Multiscale Mamba Fusion Network for Hyperspectral and LiDAR Data Classification
inferred← citeshttps://doi.org/10.1109/tip.2017.2664667openalex-snapshot
Automatic Attribute Profiles
inferred← citeshttps://doi.org/10.1109/tip.2022.3162964openalex-snapshot
Deep Hierarchical Vision Transformer for Hyperspectral and LiDAR Data 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/tip.2026.3673954openalex-snapshot
MCIB: Multi-Modal Complementary Information Bottleneck for Hyperspectral and LiDAR Classification
inferred← citeshttps://doi.org/10.1109/tmm.2024.3360717openalex-snapshot
Reinforcement Learning Based Markov Edge Decoupled Fusion Network for Fusion Classification of Hyperspectral and LiDAR
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3577231openalex-snapshot
Spatial–Spectral Heterogeneity-Aware Network for Hyperspectral and LiDAR Joint Classification
inferred← citeshttps://doi.org/10.1109/tpds.2018.2829724openalex-snapshot
Parallel Computation of Component Trees on Distributed Memory Machines
inferred← citeshttps://doi.org/10.1109/whispers.2015.8075399openalex-snapshot
Object-based fusion of hyperspectral and LiDAR data for classification of urban areas
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/10.1117/1.jrs.11.026009openalex-snapshot
Assessing the performance of multiple spectral–spatial features of a hyperspectral image for classification of urban land cover classes using support vector machines and artificial neural network
inferred← citeshttps://doi.org/10.1117/1.jrs.11.042607openalex-snapshot
Collaborative classification of hyperspectral and visible images with convolutional neural network
inferred← citeshttps://doi.org/10.1117/1.jrs.16.044517openalex-snapshot
Remote sensing sea ice classification based on DenseNet and heterogeneous data fusion
inferred← citeshttps://doi.org/10.1117/12.2281770openalex-snapshot
Classification of high-resolution multispectral satellite remote sensing images using extended morphological attribute profiles and independent component analysis
inferred← citeshttps://doi.org/10.1117/12.2325809openalex-snapshot
Data fusion for high accuracy classification of urban areas
inferred← citeshttps://doi.org/10.1117/12.2501846openalex-snapshot
Scene classification of multisource remote sensing data with two-stream densely connected convolutional neural network
inferred← citeshttps://doi.org/10.1117/12.999359openalex-snapshot
Integration of photogrammetric DSM and advanced image analysis for the classification of urban areas
inferred← citeshttps://doi.org/10.14358/pers.83.3.183openalex-snapshot
Attribute Profiles on Derived Features for Urban Land Cover Classification
inferred← citeshttps://doi.org/10.3390/rs10060872openalex-snapshot
Mapping Urban Land Cover of a Large Area Using Multiple Sensors Multiple Features
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/rs12122067openalex-snapshot
A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks
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/rs14143247openalex-snapshot
Joint Classification of Hyperspectral and LiDAR Data Based on Position-Channel Cooperative Attention Network
inferred← citeshttps://doi.org/10.3390/rs15030699openalex-snapshot
A Spectral–Spatial Method for Mapping Fire Severity Using Morphological Attribute Profiles
inferred← citeshttps://doi.org/10.3390/rs15051283openalex-snapshot
A Multi-Scale Pseudo-Siamese Network with an Attention Mechanism for Classification of Hyperspectral and LiDAR Data
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/rs16010094openalex-snapshot
Attention-Guided Fusion and Classification for Hyperspectral and LiDAR Data
inferred← citeshttps://doi.org/10.3390/rs16060958openalex-snapshot
FusionHeightNet: A Multi-Level Cross-Fusion Method from Multi-Source Remote Sensing Images for Urban Building Height Estimation
inferred← citeshttps://doi.org/10.3390/rs16061080openalex-snapshot
Joint Classification of Hyperspectral and LiDAR Data Based on Adaptive Gating Mechanism and Learnable Transformer
inferred← citeshttps://doi.org/10.3390/rs16101708openalex-snapshot
HGR Correlation Pooling Fusion Framework for Recognition and Classification in Multimodal Remote Sensing Data
inferred← citeshttps://doi.org/10.3390/rs16111916openalex-snapshot
Enhanced Land-Cover Classification through a Multi-Stage Classification Strategy Integrating LiDAR and SIF Data
inferred← citeshttps://doi.org/10.3390/rs16234601openalex-snapshot
Three-Dimensional Pulsed-Laser Imaging via Compressed Sensing Reconstruction Based on Proximal Momentum-Gradient Descent
inferred← citeshttps://doi.org/10.3390/rs17091551openalex-snapshot
Importance of Spectral Information, Seasonality, and Topography on Land Cover Classification of Tropical Land Cover Mapping
inferred← citeshttps://doi.org/10.3390/rs17162826openalex-snapshot
Multimodal Prompt Tuning for Hyperspectral and LiDAR Classification
inferred← citeshttps://doi.org/10.3390/rs6065732openalex-snapshot
A Novel Clustering-Based Feature Representation for the Classification of Hyperspectral Imagery
inferred← citeshttps://doi.org/10.3390/rs6086897openalex-snapshot
Decision Fusion Based on Hyperspectral and Multispectral Satellite Imagery for Accurate Forest Species Mapping
inferred← citeshttps://doi.org/10.3390/rs9111180openalex-snapshot
Tree-Species Classification in Subtropical Forests Using Airborne Hyperspectral and LiDAR Data
inferred← citeshttps://doi.org/10.3390/rs9121255openalex-snapshot
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.3390/rs9121274openalex-snapshot
Performance Evaluation of Downscaling Sentinel-2 Imagery for Land Use and Land Cover Classification by Spectral-Spatial Features
inferred← citeshttps://doi.org/10.3390/s22155735openalex-snapshot
Dual-Coupled CNN-GCN-Based Classification for Hyperspectral and LiDAR 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/10.3390/s24041187openalex-snapshot
CESA-MCFormer: An Efficient Transformer Network for Hyperspectral Image Classification by Eliminating Redundant Information
inferred← citeshttps://doi.org/10.48123/rsgis.852055openalex-snapshot
The effect of panchromatic band on pixel-based classification
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/isprsannals-ii-3-w3-67-2013openalex-snapshot
Integration of spectral information and photogrammetric DSM for urban areas classification
inferred← citeshttps://doi.org/10.5194/isprsannals-ii-3-w4-293-2015openalex-snapshot
MULTI-SOURCE MULTI-SCALE HIERARCHICAL CONDITIONAL RANDOM FIELD MODEL FOR REMOTE SENSING IMAGE CLASSIFICATION
inferred← citeshttps://doi.org/10.5194/isprsarchives-xl-1-w1-389-2013openalex-snapshot
MULTI-SOURCE HIERARCHICAL CONDITIONAL RANDOM FIELD MODEL FOR FEATURE FUSION OF REMOTE SENSING IMAGES AND LIDAR DATA
inferred← citeshttps://doi.org/10.5194/isprsarchives-xl-1-w5-589-2015openalex-snapshot
DECISION LEVEL FUSION OF LIDAR DATA AND AERIAL COLOR IMAGERY BASED ON BAYESIAN THEORY FOR URBAN AREA CLASSIFICATION
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