Evaluation of Very-high Resolution Satellite Image Compression to Support Agriculture Monitoring-Reference-Cited by-同舟云学术

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Evaluation of Very-high Resolution Satellite Image Compression to Support Agriculture Monitoring

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)
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Author:

Candra Danang S.¹,Ulfa Kurnia¹,Rasyidy Fadillah H.¹,Hestrio Yohanes Fridolin¹,Prabowo Yudhi²,Rahayu Mulia I.³

Affiliation:

1. Research Center for Remote Sensing National Research and Innovation Agency (BRIN),Cibinong,Indonesia

2. Research Center for Hydrodynamic Technology National Research and Innovation Agency (BRIN),Surabaya,Indonesia

3. Center for Data and Information National Research and Innovation Agency (BRIN),Cibinong,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10329884/10329790/10329899.pdf?arnumber=10329899

Reference27 articles.

1. Reduced-Complexity End-to-End Variational Autoencoder for on Board Satellite Image Compression

2. Optical Satellite Data Compression and Implementation

3. Lossy compression of hyperspectral images based on noise parameters estimation and variance stabilizing transform

4. A Tutorial on Image Compression for Optical Space Imaging Systems

5. Transform Coding Techniques for Lossy Hyperspectral Data Compression

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