Attention-Guided Fusion and Classification for Hyperspectral and LiDAR Data

Attention-Guided Fusion and Classification for Hyperspectral and LiDAR Data

The joint use of hyperspectral image (HSI) and Light Detection And Ranging (LiDAR) data has been widely applied for land cover classification because it can comprehensively represent the urban structures and land material properties. However, existing methods fail to combine the different image info...

Full description

Bibliographic Details
Main Authors:	Jing Huang, Yinghao Zhang, Fang Yang, Li Chai
Format:	Article
Language:	English
Published:	MDPI AG 2023-12-01
Series:	Remote Sensing
Subjects:	hyperspectral images Light Detection And Ranging (LiDAR) data fusion and classification convolutional neural network attention mechanism
Online Access:	https://www.mdpi.com/2072-4292/16/1/94

Similar Items

MSLAENet: Multiscale Learning and Attention Enhancement Network for Fusion Classification of Hyperspectral and LiDAR Data
by: Yingying Fan, et al.
Published: (2022-01-01)

Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data
by: Haotian Zhang, et al.
Published: (2023-01-01)

Feature-Decision Level Collaborative Fusion Network for Hyperspectral and LiDAR Classification
by: Shenfu Zhang, et al.
Published: (2023-08-01)

Inverse Coefficient of Variation Feature and Multilevel Fusion Technique for Hyperspectral and LiDAR Data Classification
by: Farah Jahan, et al.
Published: (2020-01-01)

Modality Fusion Vision Transformer for Hyperspectral and LiDAR Data Collaborative Classification
by: Bin Yang, et al.
Published: (2024-01-01)

Morphological Convolution and Attention Calibration Network for Hyperspectral and LiDAR Data Classification
by: Zhongwei Li, et al.
Published: (2023-01-01)

Two-channel Hyperspectral LiDAR with a Supercontinuum Laser Source
by: Ruizhi Chen, et al.
Published: (2010-07-01)

Attention Fusion of Transformer-Based and Scale-Based Method for Hyperspectral and LiDAR Joint Classification
by: Maqun Zhang, et al.
Published: (2023-01-01)

Classification of Hyperspectral-LiDAR Dual-View Data Using Hybrid Feature and Trusted Decision Fusion
by: Jian Liu, et al.
Published: (2024-11-01)

Integration of hyperspectral and LiDAR data for mapping small water bodies
by: Jiří Prošek, et al.
Published: (2020-10-01)

AFA–Mamba: Adaptive Feature Alignment with Global–Local Mamba for Hyperspectral and LiDAR Data Classification
by: Sai Li, et al.
Published: (2024-10-01)

Multi-Feature Cross Attention-Induced Transformer Network for Hyperspectral and LiDAR Data Classification
by: Zirui Li, et al.
Published: (2024-07-01)

Joint Classification of Hyperspectral and LiDAR Data Based on Adaptive Gating Mechanism and Learnable Transformer
by: Minhui Wang, et al.
Published: (2024-03-01)

Multilevel Feature Gated Fusion Based Spatial and Frequency Domain Attention Network for Joint Classification of Hyperspectral and LiDAR Data
by: Cuiping Shi, et al.
Published: (2025-01-01)

Apport du LiDAR dans le géoréférencement d'images hyperspectrales en vue d'un couplage LiDAR/Hyperspectral
by: Antoine Ba
Published: (2015-04-01)

BIHAF-Net: Bilateral Interactive Hierarchical Adaptive Fusion Network for Collaborative Classification of Hyperspectral and LiDAR Data
by: Yunji Zhao, et al.
Published: (2024-01-01)

A Multi-Scale Pseudo-Siamese Network with an Attention Mechanism for Classification of Hyperspectral and LiDAR Data
by: Dongmei Song, et al.
Published: (2023-02-01)

Deep Learning for Fusion of APEX Hyperspectral and Full-Waveform LiDAR Remote Sensing Data for Tree Species Mapping
by: Wenzhi Liao, et al.
Published: (2018-01-01)

Cross Attention-Based Multi-Scale Convolutional Fusion Network for Hyperspectral and LiDAR Joint Classification
by: Haimiao Ge, et al.
Published: (2024-10-01)

Multiscale and Multidirection Feature Extraction Network for Hyperspectral and LiDAR Classification
by: Yi Liu, et al.
Published: (2024-01-01)

Optimized Spatial Gradient Transfer for Hyperspectral-LiDAR Data Classification
by: Bing Tu, et al.
Published: (2022-04-01)

Deep Residual Network-Based Fusion Framework for Hyperspectral and LiDAR Data
by: Chiru Ge, et al.
Published: (2021-01-01)

Multi-Temporal LiDAR and Hyperspectral Data Fusion for Classification of Semi-Arid Woody Cover Species
by: Cynthia L. Norton, et al.
Published: (2022-06-01)

Multiscale Attention Feature Fusion Based on Improved Transformer for Hyperspectral Image and LiDAR Data Classification
by: Aili Wang, et al.
Published: (2025-01-01)

Using UAV LiDAR Intensity Frequency and Hyperspectral Features to Improve the Accuracy of Urban Tree Species Classification
by: Yulin Gong, et al.
Published: (2024-01-01)

Pseudolabeling Contrastive Learning for Semisupervised Hyperspectral and LiDAR Data Classification
by: Zhongwei Li, et al.
Published: (2024-01-01)

Semi-supervised cross-domain feature fusion classification network for coastal wetland classification with hyperspectral and LiDAR data
by: Fangming Guo, et al.
Published: (2023-06-01)

Joint Classification of Hyperspectral Images and LiDAR Data Based on Dual-Branch Transformer
by: Qingyan Wang, et al.
Published: (2024-01-01)

A Novel Dual-Encoder Model for Hyperspectral and LiDAR Joint Classification via Contrastive Learning
by: Haibin Wu, et al.
Published: (2023-02-01)

Multiview Hierarchical Network for Hyperspectral and LiDAR Data Classification
by: Yishu Peng, et al.
Published: (2022-01-01)

Estimating Aboveground Carbon Stock at the Scale of Individual Trees in Subtropical Forests Using UAV LiDAR and Hyperspectral Data
by: Haiming Qin, et al.
Published: (2021-12-01)

Fusion of Hyperspectral CASI and Airborne LiDAR Data for Ground Object Classification through Residual Network
by: Zhanyuan Chang, et al.
Published: (2020-07-01)

BAFusion: Bidirectional Attention Fusion for 3D Object Detection Based on LiDAR and Camera
by: Min Liu, et al.
Published: (2024-07-01)

Color Image Generation from Range and Reflection Data of LiDAR
by: Hyun-Koo Kim, et al.
Published: (2020-09-01)

DLAFNet: Direct LiDAR-Aerial Fusion Network for Semantic Segmentation of 2-D Aerial Image and 3-D LiDAR Point Cloud
by: Wei Liu, et al.
Published: (2025-01-01)

Identification of tree species based on the fusion of UAV hyperspectral image and LiDAR data in a coniferous and broad-leaved mixed forest in Northeast China
by: Hao Zhong, et al.
Published: (2022-09-01)

UAV LiDAR and Hyperspectral Data Synergy for Tree Species Classification in the Maoershan Forest Farm Region
by: Bin Wang, et al.
Published: (2023-02-01)

LiDAR Intensity Completion: Fully Exploiting the Message from LiDAR Sensors
by: Weichen Dai, et al.
Published: (2022-10-01)

Joint Classification of Hyperspectral and LiDAR Data Based on Position-Channel Cooperative Attention Network
by: Lin Zhou, et al.
Published: (2022-07-01)

Hyperspectral LiDAR-Based Plant Spectral Profiles Acquisition: Performance Assessment and Results Analysis
by: Jianxin Jia, et al.
Published: (2021-06-01)