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 ...

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

Jun 25, 2024 · Gao, and M. Huang, “Multimodal attention-aware convolutional neural networks for classification of hyperspectral and lidar data,” IEEE J.

Convolutional neural networks (CNNs) are of great interest and have demonstrated remarkable performance in hyperspectral images (HSIs) classification.

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

Dec 13, 2023 · List of Accepted Papers ; 3377, 1-D SPATIAL ATTENTION IN BINARIZED CONVOLUTIONAL NEURAL NETWORKS ; 4343, 2D Human Pose Estimation Calibration and ...