Jul 1, 2022 · Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data. Abstract: The attention ...
Feb 8, 2024 · Experiments are conducted on the Lidar and hyperspectral dataset provided by the 2013 IEEE GRSS Data Fusion Contest and multisource Trento ...
The experimental results have shown the superior results of the proposed method on both LiDAR and multi-modality remote sensing data in comparison with several ...
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We design a dual-branch CNN fusion classification network named as AFC-CNN, which consists of a 2D-CNN for spatial features extraction in LiDAR data, and a ...
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Mar 8, 2024 · A novel graph-attention based multimodal fusion network called GAMF is designed to achieve the joint classification of HSI and LiDAR data, which ...
Mar 13, 2024 · A novel graph-attention based multimodal fusion network for joint classification of hyperspectral image and LiDAR data.
Apr 5, 2024 · The fusion of hyperspectral and LiDAR data has been an active research topic. Existing fusion methods have ignored the high-dimensionality and ...
Deep supervised learning for hyperspectral data classification through convolutional neural networks. ... LiDAR DSM Classification. IEEE Trans. Geosci ...
Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data ... Hyperspectral and LiDAR Classification.
Classification of pixel-level fused hy- perspectral and lidar data using deep convolutional neural networks. In 2016 8th Workshop on Hyperspectral Image and ...