Remote Sensing Image Compression Based on Classification and Detection
The major bottleneck of remote sensing satellites is the transmission of the obtained images to the ground station. Traditional compression algorithms can not process the huge data volume captured by the high resolution sensors. In this paper, a novel compression scheme based on classification and detection algorithms is proposed. In the proposed scheme, based on the regions of interest, the image of high compression ratio is obtained which is compressed in different strategy. And also its computational complexity is low and tends to be realized. The novel scheme is appropriate for on-board processing.
Minqi Li Quan Zhou Jun Wang
National Key Laboratory of Space Microwave Technology,Xian Institute of Space Radio Technology Xian,China
国际会议
Progress in Electromagnetics Research Symposium 2008(2008年电磁学研究新进展学术研讨会)(PIERS 2008)
杭州
英文
1-5
2008-03-24（万方平台首次上网日期，不代表论文的发表时间）