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author:

Chi, Tianhe (Chi, Tianhe.) [1] | Chen, Huabin (Chen, Huabin.) [2] | Zhang, Xin (Zhang, Xin.) [3] | Wang, Qinmin (Wang, Qinmin.) [4] | Chen, Chongcheng (Chen, Chongcheng.) [5] (Scholars:陈崇成) | Lu, Yimin (Lu, Yimin.) [6] (Scholars:卢毅敏)

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Abstract:

Airborne SAR remote sensing image has the characteristic of large data volume and computation burden, so the processing needs very large computer memory and stronger computation ability. Based on the introduction of the SAR image processing procedure, this paper studies the SAR image processing using computer parallel computation technology. The parallel processing mechanism is based on the parallel computer cluster operation and the large virtual shared memory technology. In the Client/Server architecture based SAR image parallel system, agent based network communication plays an important role in the computer performance monitor and burden distribution. In the end, the application of the SAR image parallel processing system in the disaster monitor and assessment system is introduced. The application result illustrates the high efficiency of the system and the feasibility of our research.

Keyword:

Adaptive systems Autonomous agents Computational complexity Image processing Learning systems Monitoring Parallel processing systems Remote sensing Synthetic aperture radar

Community:

  • [ 1 ] [Chi, Tianhe]Inst. of Remote Sensing Applications, CAS, Beijing, 100101, China
  • [ 2 ] [Chen, Huabin]Inst. Geogr. Sci./Nat. Rsrc. Res., CAS, Beijing, 100101, China
  • [ 3 ] [Zhang, Xin]Inst. of Remote Sensing Applications, CAS, Beijing, 100101, China
  • [ 4 ] [Wang, Qinmin]Spatial Info. Res. Ctr. Fujian Prov., Fuzhou University, Fuzhou, 350002, China
  • [ 5 ] [Chen, Chongcheng]Spatial Info. Res. Ctr. Fujian Prov., Fuzhou University, Fuzhou, 350002, China
  • [ 6 ] [Lu, Yimin]Spatial Info. Res. Ctr. Fujian Prov., Fuzhou University, Fuzhou, 350002, China

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Year: 2004

Volume: 6

Page: 3923-3925

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 1

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