DocumentCode :
3530666
Title :
New thoughts for onboard compression of satellite images
Author :
Gao, Lianru ; Ran, Qiong ; Zhang, Bing ; Chi, Yaobin ; Wang, Zhiyong
Author_Institution :
Center for Earth Obs. & Digital Earth, Chinese Acad. of Sci., Beijing, China
Volume :
4
fYear :
2009
fDate :
12-17 July 2009
Abstract :
Compression has become a must for efficient storing and transmission of data acquired by satellites with increasing resolution and swath. However, for compression of raw data satellite images, impact of striping noise is inevitable. Variances of Digital Number (DN) values introduced by striping noise will surely impair continuity and smoothness of satellite image and reduce the efficiency of onboard compression. In this paper, using Beijing-1 small satellite images, origin and characteristics of striping noise caused by double channel linear CCD and its impacts on the compression process are analyzed. Then, based on properties of striping noise, an improved method for compression of raw data satellite images is proposed. The new compression method is applied to Beijing-1 small satellite raw data images and yields significant boost in compression performance. Ideas of the proposed algorithm can be easily realized with circuit modification and no adaptation is needed for post processing of the compressed images.
Keywords :
data acquisition; data compression; geophysical image processing; geophysical techniques; image coding; remote sensing; Beijing-1 small satellite; data acquisition; data storage; data transmission; digital number variance; double channel linear CCD; satellite image compression; striping noise; Charge coupled devices; Charge-coupled image sensors; Circuit noise; Geoscience; Hardware; Image coding; Information technology; Noise reduction; Optical noise; Satellites; Beijing-1 small satellite; Image compression; Striping noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
Type :
conf
DOI :
10.1109/IGARSS.2009.5417417
Filename :
5417417
Link To Document :
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