The Study of Parallel Ortho-rectification Method of Line-Array Image Based on GPU

Author

Yuxia Yang ; Zhaohua Liu ; Jingyu Yang

Author_Institution

Sch. of Archit. & Surveying &Mapping Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China

fYear

2013

fDate

14-15 Dec. 2013

Firstpage

615

Lastpage

618

Abstract

This paper first briefly introduces the principle of Ortho-Rectification of line-array image, then designed a parallel processing method based on GPU and proposes a shared memory optimizing strategy of POS data to avoid performance bottle-neck due frequently accessing data in global memory, at last do a system experiment using ADS40 image based on Tesla C2050 GPU and invalidate the parallel processing advantage of GPU.

Keywords

graphics processing units; image processing; parallel processing; shared memory systems; ADS40 image; POS data; Tesla C2050 GPU; global memory; line-array image; parallel ortho-rectification method; parallel processing method; shared memory optimizing strategy; Arrays; Graphics processing units; Instruction sets; Kernel; Mathematical model; Memory management; Parallel processing; GPU; Image; Line-Array; Ortho-Rectification; Parallel Processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Sciences and Applications (CSA), 2013 International Conference on

Conference_Location

Wuhan

Type

conf

DOI

10.1109/CSA.2013.148

Filename

6835675

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=690417