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Paper Abstract and Keywords
Presentation 2016-11-24 14:50
[Poster Presentation] GPU-BASED ADAPTIVE LOCAL KRIGING APPLIED TO RECOVERING SURFACE DEFORMATION
Meng-Che Wu (NSPO), Wen-Yen Chang (NDHU), Yang-Lang Chang, Sheng-Yung Shih (NTUT), Chihyuan Chu (G-AVE), Bormin Huang (UW)
Abstract (in Japanese) (See Japanese page) 
(in English) Synthetic aperture radar (SAR) is an active remote sensing instrument to measure the landscape. Differential interferometric synthetic aperture radar (DInSAR) is an effective technique to observe the surface motion caused by earthquakes. In our previous work an adaptive local kriging (ALK) was proposed to recover surface deformation associated with the fault zones in the decoherence area. ALK is a time-consuming task. Therefore, a graphics processing unit (GPU) based ALK is proposed to speed up the process. The NVIDIA compute unified device architecture (CUDA) is used to implement the parallel version of ALK. The experimental results demonstrate that the proposed GPU based ALK provides a speedup of 56.22x. The results of the correlation coefficients comparisons indicate the retrieving motion maps provide high fidelity compared to the original CPU based ALK method.
Keyword (in Japanese) (See Japanese page) 
(in English) synthetic aperture radar / adaptive local Kriging / graphic processing unit / Differential interferometric synthetic aperture radar / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 319, SANE2016-79, pp. 145-147, Nov. 2016.
Paper # SANE2016-79 
Date of Issue 2016-11-17 (SANE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee SANE  
Conference Date 2016-11-24 - 2016-11-25 
Place (in Japanese) (See Japanese page) 
Place (in English) National Taipei University of Technology (NTUT) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ICSANE2016 
Paper Information
Registration To SANE 
Conference Code 2016-11-SANE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) GPU-BASED ADAPTIVE LOCAL KRIGING APPLIED TO RECOVERING SURFACE DEFORMATION 
Sub Title (in English)  
Keyword(1) synthetic aperture radar  
Keyword(2) adaptive local Kriging  
Keyword(3) graphic processing unit  
Keyword(4) Differential interferometric synthetic aperture radar  
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1st Author's Name Meng-Che Wu  
1st Author's Affiliation National Space Organization (NSPO)
2nd Author's Name Wen-Yen Chang  
2nd Author's Affiliation National Dong Hwa University (NDHU)
3rd Author's Name Yang-Lang Chang  
3rd Author's Affiliation National Taipei University of Technology (NTUT)
4th Author's Name Sheng-Yung Shih  
4th Author's Affiliation National Taipei University of Technology (NTUT)
5th Author's Name Chihyuan Chu  
5th Author's Affiliation G-AVE Technology Corporation (G-AVE)
6th Author's Name Bormin Huang  
6th Author's Affiliation University of Wisconsin (UW)
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Speaker
Date Time 2016-11-24 14:50:00 
Presentation Time 180 
Registration for SANE 
Paper # IEICE-SANE2016-79 
Volume (vol) IEICE-116 
Number (no) no.319 
Page pp.145-147 
#Pages IEICE-3 
Date of Issue IEICE-SANE-2016-11-17 


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