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Tensor Dictionary Learning with representation quantization for Remote Sensing Observation Compression

Abstract: 

Nowadays, multidimensional data structures, known as tensors, are widely used in many applications like earth observation from remote sensing image sequences. However, the increasing spatial, spectral and temporal resolution of the acquired images, introduces considerable challenges in terms of data storage and transfer, making critical the necessity of an efficient compression system for high dimensional data. In this paper, we propose a tensor-based compression algorithm that retains the structure of the data and achieves a high compression ratio. Specifically, our method learns a dictionary of specially structured tensors using the Alternating Direction Method of Multipliers, as well as a symbol encoding dictionary. During run-time, a quantized and encoded sparse vector of coefficients is transmitted, instead of the whole multidimensional signal. Experimental results on real satellite image sequences demonstrate the efficacy of our method compared to a state-of-the-art compression method.

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Paper Details

Authors:
Anastasia Aidini, Grigorios Tsagkatakis, and Panagiotis Tsakalides
Submitted On:
30 March 2020 - 8:25am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Anastasia Aidini
Paper Code:
176
Session:
Session 10
Document Year:
2020
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dcc_aidini.pdf

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[1] Anastasia Aidini, Grigorios Tsagkatakis, and Panagiotis Tsakalides, "Tensor Dictionary Learning with representation quantization for Remote Sensing Observation Compression", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5057. Accessed: Aug. 10, 2020.
@article{5057-20,
url = {http://sigport.org/5057},
author = {Anastasia Aidini; Grigorios Tsagkatakis; and Panagiotis Tsakalides },
publisher = {IEEE SigPort},
title = {Tensor Dictionary Learning with representation quantization for Remote Sensing Observation Compression},
year = {2020} }
TY - EJOUR
T1 - Tensor Dictionary Learning with representation quantization for Remote Sensing Observation Compression
AU - Anastasia Aidini; Grigorios Tsagkatakis; and Panagiotis Tsakalides
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5057
ER -
Anastasia Aidini, Grigorios Tsagkatakis, and Panagiotis Tsakalides. (2020). Tensor Dictionary Learning with representation quantization for Remote Sensing Observation Compression. IEEE SigPort. http://sigport.org/5057
Anastasia Aidini, Grigorios Tsagkatakis, and Panagiotis Tsakalides, 2020. Tensor Dictionary Learning with representation quantization for Remote Sensing Observation Compression. Available at: http://sigport.org/5057.
Anastasia Aidini, Grigorios Tsagkatakis, and Panagiotis Tsakalides. (2020). "Tensor Dictionary Learning with representation quantization for Remote Sensing Observation Compression." Web.
1. Anastasia Aidini, Grigorios Tsagkatakis, and Panagiotis Tsakalides. Tensor Dictionary Learning with representation quantization for Remote Sensing Observation Compression [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5057