Title :
A rapid compression technology for remote sensing image based on different ground scenes
Author :
Shuang Zhou ; Hao Chen ; Yu Tao ; Ye Zhang ; Meng Zhang
Author_Institution :
Dept. of Inf. Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
In this paper, a rapid compression technology for remote sensing image based on different ground scenes is proposed. According to the different textures and the corresponding information contained different ground types, compression parameter is set for JPEG2000, firstly. And then considering the weight of the information amount of the image, the proportion of the information amount of the image and the proportion of the weight of the image, the bit rate of the image are allocated and the compression of the image is realized. Finally, an algorithm based on the same pass truncation is proposed. Experimental results demonstrate the proposed method speeds up the compression algorithm with little loss of reconstruction quality.
Keywords :
data compression; geophysical image processing; image coding; image reconstruction; remote sensing; JPEG2000; compression algorithm based same pass truncation; desert; farmland; image bit rate; image compression; rapid compression technology; reconstruction quality; remote sensing image; sea surface; urban ground scene; Bit rate; Image coding; Image reconstruction; Image resolution; Remote sensing; Transform coding; Wavelet transforms; Compression; JPEG2000; Remote sensing image; The same pass truncation;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723343
