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  4. Convolutional Autoencoder Model for Hyperspectral Multi-Sensor Satellite Data Compression
 
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2023
Conference Paper
Title

Convolutional Autoencoder Model for Hyperspectral Multi-Sensor Satellite Data Compression

Abstract
This work addresses the challenge of transferability of autoencoder models for lossy compression of different spatially independent and unknown hyperspectral datasets acquired from different space sensor platforms. We propose an adaptive 1D convolutional autoencoder architecture that can compress and recover spectral signatures with different numbers of bands. We demonstrate the transferability of the 1D CAE to different sensors by applying different unknown hyperspectral datasets acquired by different sensor platforms. The evaluation of the reconstruction accuracy is measured by comparing the spectral angle and the signal-to-noise ratio between the original and the reconstructed data. We show the high transferability and generalizability of our A1D-CAE model for compression rates c R = 4 on different datasets from the satellite-based PRISMA, DESIS, EnMap and HYPSO-1 sensors. The results show that the proposed A1D-CAE architecture is capable of processing hyperspectral data from multiple sensor sources with different characteristics while achieving high reconstruction accuracy.
Author(s)
Küster, Jannick  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Groß, Wolfgang  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Schreiner, Simon  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Middelmann, Wolfgang  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Heizmann, Michael  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Mainwork
IGARSS 2023, IEEE International Geoscience and Remote Sensing Symposium. Proceedings  
Conference
International Geoscience and Remote Sensing Symposium 2023  
DOI
10.1109/igarss52108.2023.10281489
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
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