A proposal of parallel strategy for global wavelet-based registration of remote-sensing images

Authors:
Haifang Zhou;Yu Tang;Xuejun Yang;Hengzhu Liu
Affiliations:
School of Computer, National University of Defense Technology, Changsha, China;School of Electronic Technology, National University of Defense Technology, China;School of Computer, National University of Defense Technology, Changsha, China;School of Computer, National University of Defense Technology, Changsha, China
Venue:
ICA3PP'05 Proceedings of the 6th international conference on Algorithms and Architectures for Parallel Processing
Year:
2005

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Abstract

With the increasing importance of multiple multiplatform remote sensing missions, digital image registration has been applied into many fields, and specially plays a very important role in remotely sensed data processing. Firstly a brief introduction of existing parallel methods of wavelet-based global registration is given. And then the communication optimization for GP method is described. The optimized algorithm is named Group-Optimized-Parallel (GOP for short). To find out the reason of occasionally lower efficiency of GOP than other methods, a more careful analysis is presented in theory and proved in experiments. Moreover, we give a quantitative criterion, called Remainder Items, to choose the best solution in different input conditions.