Jul 1, 2022 · Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data. Abstract: The attention ...

With the full exploitation of elevation information from LiDAR data and efficient utilization of the spatial-spectral information underlying hyperspectral data, ...

Feb 8, 2024 · With the full exploitation of elevation information from LiDAR data and efficient utilization of the spatial-spectral information underlying ...

Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data ... and Remote Sensing. Pub Date: 2023; DOI ...

The convolution neural network method with the attention mechanism is proposed to enhance the feature extraction of light detection and ranging (LiDAR) data ...

2 days ago · Gao, and M. Huang, “Multimodal attention-aware convolutional neural networks for classification of hyperspectral and lidar data,” IEEE J.

We evaluate the classification performances of the proposed MTNet on three public HS-LiDAR datasets by conducting extensive experiments, exhibiting superiority ...

This work presents a simple but effective multimodal DL baseline by following a deep encoder–decoder network architecture, EndNet for short, ...

Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data. ... for Hyperspectral Image Classification ...

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