Please wait a minute...
Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

Postal Subscription Code 80-970

2018 Impact Factor: 1.129

Front. Comput. Sci.    2007, Vol. 1 Issue (2) : 231-240    https://doi.org/10.1007/s11704-007-0024-1
A data-distributed parallel algorithm for wavelet-based fusion of remote sensing images
YANG Xuejun, WANG Panfeng, DU Yunfei, ZHOU Haifang
School of Computer, National University of Defense Technology, Changsha 410073, China;
 Download: PDF(600 KB)  
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract With the increasing importance of multiplatform remote sensing missions, the fast integration or fusion of digital images from disparate sources has become critical to the success of these endeavors. In this paper, to speed up the fusion process, a Data-distributed Parallel Algorithm for wavelet-based Fusion (DPAF for short) of remote sensing images which are not geo-registered remote sensing images is presented for the first time. To overcome the limitations on memory space as well as the computing capability of a single processor, data distribution, data-parallel processing and load balancing techniques are integrated into DPAF. To avoid the inherent communication overhead of a wavelet-based fusion method, a special design called redundant partitioning is used, which is inspired by the characteristics of wavelet transform. Finally, DPAF is evaluated in theory and tested on a 32-CPU cluster of workstations. The experimental results show that our algorithm has good parallel performance and scalability.
Issue Date: 05 June 2007
 Cite this article:   
WANG Panfeng,YANG Xuejun,DU Yunfei, et al. A data-distributed parallel algorithm for wavelet-based fusion of remote sensing images[J]. Front. Comput. Sci., 2007, 1(2): 231-240.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-007-0024-1
https://academic.hep.com.cn/fcs/EN/Y2007/V1/I2/231
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed