2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum (2012)
Shanghai, China China
May 21, 2012 to May 25, 2012
Change detection is an important technique in damage assessment area. As the amount of remote sensing images and the complexity of algorithms rise, the demand for processing power is increasing. In this paper, we propose PLog-FLCM, a parallel algorithm for change detection. It is implemented on AMD Accelerated Parallel Processing (APP) SDK v2 based on Open Computing Language. The parallel characteristics and implementation details of the proposed PLog-FLICM algorithm are presented. Experiments on several Synthetic Aperture Radar(SAR) images demonstrate that the proposed algorithm outperform other algorithms, and the designed parallel algorithm can greatly reduce the computational time of change detection algorithm. It has achieved speedups of between 63 and 145 times on AMD Radeon HD 6870 Graphics Processing Unit (GPU).
Graphics processing unit, Remote sensing, Algorithm design and analysis, Clustering algorithms, Change detection algorithms, Acceleration, Standards, Multi-Temporal Analysis, Parallel Algorithm, GPU, Remote Sensing Image, Change Detection
H. Zhu, Y. Cao, Z. Zhou and M. Gong, "Parallel Multi-Temporal Remote Sensing Image Change Detection on GPU," 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum(IPDPSW), Shanghai, China China, 2012, pp. 1898-1904.