Hyperspectral image classification based on a novel Lush multi-layer feature fusion bias network
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Elsevier BV
Reference59 articles.
1. Improved Capability in Stone Pine Forest Mapping and Management in Lebanon Using Hyperspectral CHRIS-Proba Data Relative to Landsat ETM;Awad;Photogrammetric Engineering & Remote Sensing,2014
2. Deep Learning for Classification of Hyperspectral Data: A Comparative Review;Audebert;IEEE Geoscience and Remote Sensing Magazine,2019
3. Classification and feature extraction for remote sensing images from urban areas based on morphological transformations;Benediktsson;IEEE Transactions on Geoscience and Remote Sensing,2003
4. Classification of hyperspectral data from urban areas based on extended morphological profiles;Benediktsson;IEEE Transactions on Geoscience and Remote Sensing,2005
5. Composite kernels for hyperspectral image classification;Camps-Valls;IEEE Geoscience and Remote Sensing Letters.,2006
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1. Graph Neural Networks with Autoregressive Moving Average Graph Filter and Graph- Regularized Sparse Coding for Accurate Hyperspectral Image Classification on FPGA;2024-08-05
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