Fusion of hyperspectral and LiDAR data using sparse stacked autoencoder for land cover classification with 3D-2D convolutional neural network
Author:
Affiliation:
1. MJP Rohilkhand University, Department of Computer Science and Information Technology, Bareilly, India
2. Michigan State University, Department of Biosystems and Agriculture Engineering, East Lansing, Michigan, United States
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference31 articles.
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2. Application of Convolutional Neural Networks for Automated Land Cover Mapping Using Hyper Spectral Imagery;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29
3. Hyperspectral Classification Using Heterologous Feature Alignment and Fusion;2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2023-10-31
4. Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks;Applied Sciences;2023-07-14
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