Efficient Hyperspectral Data Compression using 3D Convolutional Autoencoder

Hyperspectral image has large size due to abundance of spectral bands preventing efficient storage and transmission in real-time applications. This paper introduces a 3dimensional convolutional autoencoder (CAE) for hyperspectral data compression, utilizing CAE for both compression and subsequent de...

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Bibliographic Details

Published in:	2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) pp. 1 - 5
Main Authors:	Afrin, Afsana, Mamun, Md. Al
Format:	Conference Proceeding
Language:	English
Published:	IEEE 25.04.2024
Subjects:	Accuracy Convolution Deep Learning HSI Compression Image coding PSNR Recurrent neural networks Solid modeling Three-dimensional displays
Online Access:	Get full text
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