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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Jun 25, 2024 · Huang, “Multimodal attention-aware convolutional neural networks for classification of hyperspectral and lidar data,” IEEE J. Sel. Topics ...
Mar 8, 2024 · Abstract. The joint classification of hyperspectral image (HSI) and Light Detection and Ranging (LiDAR) data can provide complementary ...
Deep supervised learning for hyperspectral data classification through convolutional neural networks. ... LiDAR DSM Classification. IEEE Trans. Geosci ...
Request PDF | Multimodal Transformer Network for Hyperspectral and LiDAR Classification | The land cover classification of single-modal remote sensing (RS) ...
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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Aug 15, 2023 · More diverse means better: Multimodal deep learning meets remote-sensing imagery classification ... 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 ...