NDLI: Multi-GPU based near real-time preprocessing and releasing system of optical satellite images

Content Provider	IEEE Xplore Digital Library
Author	Liuyang Fang Mi Wang Hexiang Ying Fen Hu
Copyright Year	2014
Description	Author affiliation: State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China (Liuyang Fang; Mi Wang) \|\| Geomatics Center of Zhejiang Province, Hangzhou, China (Hexiang Ying) \|\| Satellite Surveying & Mapping Applic. Center (SASMAC), Nat. Adm. of Surveying, Mapping & Geoinf. (NASG), Beijing, China (Fen Hu)
Abstract	The volume of the image data collected by optical satellites is increasing tremendously nowadays. In this paper, we present our recent research on the multi-graphics processing unit (multi-GPU) based near real-time preprocessing and releasing system (RPRS) of optical satellite images. RPRS consists of two sub-systems, namely, the image preprocessing sub-system and the image releasing sub-system. The image preprocessing sub-system ports the four image processors (i.e. relative radiometric correction, median filtering, modulation transfer function compensation and geometric correction) to the GPUs for execution with the compute unified device architecture (CUDA). Both the basic GPU implementation and three optimization measures are presented. To validate our strategy, an entire ZY-3 nadir image strip consisting of 80 images is used for experiment on the multi-GPU system that consists of four NVIDIA Tesla M2050 GPUs. The results show that the efficiency of the processors is substantially accelerated by the use of GPU. The speedup ratios are between 10.94 and 44.89. Moreover, when using all the four GPUs, the processing of the entire image strip only costs 19 min 45 s, which could meet the near realtime preprocessing requirement. The image releasing system affords the direct visualization of the georeferenced images on the geographic base map of GeoGlobe, a Google Earth like 3D spatial information releasing platform developed by State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China. It is very convenient for the follow-up relevant applications.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	2467
Ending Page	2470
File Size	313140
Page Count	4
File Format	PDF
ISBN	9781479957750
DOI	10.1109/IGARSS.2014.6946972
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing units Satellites Satellite broadcasting Remote sensing Adaptive optics Optical filters optimization basic GPU implementation graphics processing units (GPUs) image releasing optical satellite image preprocessing
Content Type	Text
Resource Type	Article

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