Title :
The Research of Aerial RS Real-time Image Compression and Transmission Based on DSP
Author :
Chuan, Jin ; Qiming, Qin ; Jie, Li ; Dezhi, Chen
Author_Institution :
Beijing Key Lab. of Spatial Inf. Integration & 3S Applic., Peking Univ., Beijing
fDate :
July 31 2006-Aug. 4 2006
Abstract :
Aerial Remote Sensing (Aerial RS) image compression & transmission on-board system, not only is the core of Aerial RS supervising, but also the key technology about the security of data obtainment. The requirement of Aerial RS is stricter on the data quality and security. If we transmit the images through some special channels while the images are obtained during the task of Aerial RS, the control center on the ground could acquire the status of the whole Aerial RS system. Besides, it could also backup the images immediately. Image compression & transmission system is the important bridge between the Aerial RS system on-board and the control center. The research group of Aerial RS data processing in Peking University, integrates all the necessary technologies including compression algorithm & hardware, integration of function modules, protocol of data packing & unpacking. The research group has developed an efficient compression method that has been optimized both in software structures and hardware architecture. Considering with the narrow space on the airplane, the research group has designed the compression & transmission function module which is installed on the motherboard of the Aerial RS control system. The compression program is compiled in the Code Composer Studio (CCS) development environment, and then the result file compiled is burned into the DSP chip on the module. This paper also introduces an efficient protocol designed by the research group, which can ensure the accuracy of the transmission. It ensures the control center can rebuild & unpack the packages correctly, and avoid fatal errors caused by some false frames and packages during the transmission. This data compression & transmission system, which has been tested in certain different places in China, has achieved the purpose expected.
Keywords :
data compression; digital signal processing chips; image coding; protocols; remote sensing; visual communication; China; Code Composer Studio; DSP chip; aerial remote sensing; data unpacking; image transmission; protocol; real time image compression; Bridges; Control systems; Data security; Digital signal processing; Hardware; Image coding; Packaging; Protocols; Remote sensing; Space technology;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
DOI :
10.1109/IGARSS.2006.208