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Open AccessArticle

System Noise Removal for Gaofen-4 Area-Array Camera

by Xueli Chang 1,2 and Luxiao He 3,*
1
Collaborative Innovation Center of Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China
2
School of Resource and Environment Sciences, Wuhan University, Wuhan 430079, China
3
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(5), 759; https://doi.org/10.3390/rs10050759
Received: 23 April 2018 / Revised: 8 May 2018 / Accepted: 12 May 2018 / Published: 15 May 2018
(This article belongs to the Special Issue Data Restoration and Denoising of Remote Sensing Data)
Gaofen-4 is a geostationary orbit area array imaging satellite. Due to the difficulty of the on-orbit radiometric calibration of area array cameras, there is system noise in the images. This paper analyzes the source of the system noise, constructs a noise model of Gaofen-4, and proposes a practical method to remove the system noise using multiple images. Gaussian filtering is used to remove radiometric characteristics, and the Grubbs criterion is used to remove gradient characteristics, thereby transforming the images into noise images. System noise can be removed using correction coefficients obtained by superimposing multiple noise images. Using a variety of denoising methods to perform contrast experiments, the results show that the proposed method can effectively maintain image edge details and texture information while removing image noise. View Full-Text
Keywords: Gaofen-4; system noise removal; area array camera; optical remote sensing satellite Gaofen-4; system noise removal; area array camera; optical remote sensing satellite
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Chang, X.; He, L. System Noise Removal for Gaofen-4 Area-Array Camera. Remote Sens. 2018, 10, 759.

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