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 ...
With the full exploitation of elevation information from LiDAR data and efficient utilization of the spatial-spectral information underlying hyperspectral data, ...
An RBF neural network based on improved black widow optimization algorithm for classification and regression problems · A Multi-Mode Convolutional Neural Network ...
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Jun 28, 2024 · In this study, we propose a Local-to-Global Cross-modal Attention-aware Fusion (LoGoCAF) framework for HSI-X classification that jointly ...
Duration: 0:54
Posted: Aug 9, 2023
Posted: Aug 9, 2023
Missing: LiDAR Data.
Mar 8, 2024 · Abstract. The joint classification of hyperspectral image (HSI) and Light Detection and Ranging (LiDAR) data can provide complementary ...
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 ...
Missing: Aware | Show results with:Aware
Jun 25, 2024 · Huang, “Multimodal attention-aware convolutional neural networks for classification of hyperspectral and lidar data,” IEEE J. Sel. Topics ...
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks. ... Fusatnet: Dual attention based spectrospatial ...