HYPERSPECTRAL IMAGE CLASSIFICATION ON A MULTISCALE 3D CONVOLUTIONAL NEURAL NETWORK

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HYPERSPECTRAL IMAGE CLASSIFICATION ON A MULTISCALE 3D CONVOLUTIONAL NEURAL NETWORK

In the past decade, significant progress has been made in hyperspectral image (HSI) classification due to advances in deep learning techniques. This study introduces a novel computational framework for classifying HSIs using a multiscale 3D convolutional neural network (3DCNN). The purpose of this r...

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書誌詳細
主要な著者:	Thai Duy Quy, Tran, Thi Ngoc Thao, Avirmed, Enkhbat
フォーマット:	Journal article
言語:	English
出版事項:	2025
主題:	2DCNN 3DCNN Deep learning HSI datasets Hyperspectral image Recurrent neural networks Temporal convolutional networks.
オンライン･アクセス:	https://scholar.dlu.edu.vn/handle/123456789/5801 https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/1381
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