원문정보
초록
영어
In order to meet the different data browsing requests for different users to the visual quality of remote sensing images in heterogeneous network especially under narrow bandwidth environments, an online remote sensing image progressive transmission model is constructed in which remote sensing image compression and decompression are synchronized with transmission. At the same time, a pipeline-based multi-threaded acceleration method has been proposed through solving the asynchronous problem between compression decompression and transmission to improve the efficiency of remote sensing progressive transmission. At last, an idea of retry broken downloads transmission interruption has been implemented to improve end-user interactive experience. Experimental results show that the whole processing speed has been improved nearly twice without reducing image transmission quality and the amount of data transmission was reduced evidently by using the proposed progressive transmission and real-time compression model.
목차
1. Introduction
2. Progressive Computing Model and Compression Algorithm
2.1. A Model of Top-down Progressive Computing
2.2. Referred Compression Algorithm
3. Implementation of Progressive Transmission
3.1. Progressive Transmission System Architecture
3.2. Parallel Acceleration Using Multithreads
3.3. Real-Time Compression and Progressive Transmission
3.4. Online Compression and Decompression with Retry Broken Downloads
4. Experimental Result and Analysis
4.1. Experimental Environment and Data
4.2. Experimental Results
5. Conclusions
Acknowledgments
References