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Article

Compression of Remotely Sensed Astronomical Image Using Wavelet-Based Compressed Sensing in Deep Space Exploration

by 1,2, 1,2,* and 1,2
1
School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
2
Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beihang University, Beijing 100191, China
*
Author to whom correspondence should be addressed.
Received: 12 December 2020 / Revised: 10 January 2021 / Accepted: 13 January 2021 / Published: 15 January 2021
(This article belongs to the Special Issue Wavelet Transform for Remote Sensing Image Analysis)
Compression of remotely sensed astronomical images is an essential part of deep space exploration. This study proposes a wavelet-based compressed sensing (CS) algorithm for astronomical image compression in a miniaturized independent optical sensor system, which introduces a new framework for CS in the wavelet domain. The algorithm starts with a traditional 2D discrete wavelet transform (DWT), which provides frequency information of an image. The wavelet coefficients are rearranged in a new structured manner determined by the parent–child relationship between the sub-bands. We design scanning modes based on the direction information of high-frequency sub-bands, and propose an optimized measurement matrix with a double allocation of measurement rate. Through a single measurement matrix, higher measurement rates can be simultaneously allocated to sparse vectors containing more information and coefficients with higher energy in sparse vectors. The double allocation strategy can achieve better image sampling. At the decoding side, orthogonal matching pursuit (OMP) and inverse discrete wavelet transform (IDWT) are used to reconstruct the image. Experimental results on simulated image and remotely sensed astronomical images show that our algorithm can achieve high-quality reconstruction with a low measurement rate. View Full-Text
Keywords: remotely sensed astronomical image; wavelet; compressed sensing; image compression; deep space exploration remotely sensed astronomical image; wavelet; compressed sensing; image compression; deep space exploration
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MDPI and ACS Style

Zhang, Y.; Jiang, J.; Zhang, G. Compression of Remotely Sensed Astronomical Image Using Wavelet-Based Compressed Sensing in Deep Space Exploration. Remote Sens. 2021, 13, 288. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13020288

AMA Style

Zhang Y, Jiang J, Zhang G. Compression of Remotely Sensed Astronomical Image Using Wavelet-Based Compressed Sensing in Deep Space Exploration. Remote Sensing. 2021; 13(2):288. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13020288

Chicago/Turabian Style

Zhang, Yong, Jie Jiang, and Guangjun Zhang. 2021. "Compression of Remotely Sensed Astronomical Image Using Wavelet-Based Compressed Sensing in Deep Space Exploration" Remote Sensing 13, no. 2: 288. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13020288

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