Improved GPU Parallel Strategy based Adaptive Local Kriging Applied to Retrieving Slant-Range Surface motion Maps

• Main Authors: Hao-Chuan Hung, 洪浩銓
• Other Authors: Yang-Lang Chang
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/632ssx

碩士 === 國立臺北科技大學 === 電機工程研究所 === 105 === DInSAR is a technology for measuring the surface deformation, relies on the processing of two SAR images of the same area. It is a common technology for earthquake research. However, the area might contain two SAR image which have loss of coherence between pre- and after- earthquake SAR data, consequently, the measurement of the surface deformation is not able to obtain effectively using DInSAR technique. In the past, the researchers were used ALK (Adaptive Local Kriging) method based on GPU (Graphics Processing Unit) to solve this problem, nonetheless that still remained the inefficiency resulted from threads using. Thus the Improved GPU Parallel Strategy based ALK was proposed to enhance the performance and speed of the ALK. The experimental results indicated that our methodology not only provided higher outcomes in performance and speed, up to 1100-fold in maximum, but also preserved retrieving result fidelity with higher correlation coefficients.