HySpecNet-11k: a Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods-Reference-Cited by-同舟云学术

HySpecNet-11k: a Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods

Published:2023-07-16 Issue: Volume: Page:
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Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Fuchs Martin Hermann Paul¹,Demir Begüm¹

Affiliation:

1. Technische Universität,Faculty of Electrical Engineering and Computer Science,Berlin,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283385.pdf?arnumber=10283385

Reference14 articles.

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4. The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation

5. End-to-end joint spectral–spatial compression and reconstruction of hyperspectral images using a 3D convolutional autoencoder

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