Apr 5, 2024 · [44] introduced a framework that uses two coupled convolutional neural networks (CNN) to fuse hyperspectral and LiDAR data, extracting spectral- ...
... neural network method with the attention ... Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data
Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data · Environmental Science, Computer Science. IEEE ...
Dual-Coupled CNN-GCN-Based Classification for Hyperspectral and ...
www.ncbi.nlm.nih.gov › PMC9371133
Jul 31, 2022 · In order to effectively extract features from multi-source remote sensing data (HS and LiDAR), we used convolutional neural networks and graph ...
... multimodal data. Therefore, we will apply the proposed model for the joint fusion and classification of hyperspectral and LiDAR data. Disclosure statement.
Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising · 1 code implementation • 15 Mar 2024 • Shuai Hu, Feng Gao, Xiaowei Zhou, ...
Dec 22, 2022 · Multi-source remote sensing data includes hyperspectral data (HSI) and lidar data (LiDAR), due to their different types and applicable ...
Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data · Environmental Science, Computer Science. IEEE ...
Deep encoder-decoder networks for classification of hyperspectral and LiDAR data ... LiDAR fusion using deep three-stream convolutional neural networks.
Tree species classification from from airborne LiDAR and hyperspectral data using 3D convolutional neural networks · crop-type-classification -> using ...