SCOPUS 정보 검색 플랫폼

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2012

Volumn 1, Issue , 2012, Pages 20-22

Big 3D Spatial data processing using cloud computing environment

(3) Sugumaran, Ramanathan a Burnett, Jeff b Blinkmann, Andrew b

a UNIVERSITY OF IOWA (United States)

b UNIVERSITY OF NORTHERN IOWA (United States)

Author keywords

Amazon Web Services; Cloud Computing; LiDAR; Multi core CPU

Indexed keywords

AMAZON WEB SERVICES; CLOUD COMPUTING ENVIRONMENTS; DIGITAL ELEVATION MODEL; ELASTIC COMPUTE CLOUDS; LIGHT DETECTION AND RANGING; MULTI-CORE CPUS; SPATIAL DATA PROCESSING; TOPOGRAPHIC INFORMATION;

CLOUD COMPUTING; DATA PROCESSING; DIGITAL STORAGE; LANDFORMS; OPTICAL RADAR; WEB SERVICES; WEBSITES;

COMPUTER SYSTEMS;

EID: 84876755537 PISSN: None EISSN: None Source Type: Conference Proceeding
DOI: 10.1145/2447481.2447484 Document Type: Conference Paper

Times cited : (14)

References (7)

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- Hodgson, M.E.; Jenson, J.R.; Schmidt, L.; Schill, S.; Davis, B. 2003. An evaluation of lidar- and IFSAR-derived digital elevation models in leaf-on conditions with USGS Level 1 and Level 2 DEMs. Remote Sens. Environ. 84, 295-308.
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- Hodgson, M.E.¹ Jenson, J.R.² Schmidt, L.³ Schill, S.⁴ Davis, B.⁵

2
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- GPU-based cloud performance for LiDAR data processing
- May 23-25, 2011, Wahington DC, USA
- Sugumaran, R., Oryspayev, D., and Gray, P. 2011. GPU-based cloud performance for LiDAR data processing. COM. Geo 2011: 2nd International Conference and Exhibition on Computing for Geospatial Research and Applications, May 23-25, 2011, Wahington DC, USA.
- (2011) COM. Geo 2011: 2Nd International Conference and Exhibition on Computing for Geospatial Research and Applications
- Sugumaran, R.¹ Oryspayev, D.² Gray, P.³

3
- 84876769232
- LiDAR data reduction using vertex decimation and processing with GPGPU and multi-core CPU technology
- Oryspayev, D., Sugumaran, R., DeGroote, J., and Gray, P. 2011. LiDAR data reduction using vertex decimation and processing with GPGPU and multi-core CPU technology. Computers and GeoSciences (Accepted).
- (2011) Computers and GeoSciences (Accepted)
- Oryspayev, D.¹ Sugumaran, R.² DeGroote, J.³ Gray, P.⁴

4
- 78650871314
- Parallel processing method for airborne laser scanning data using a PC cluster and a virtual grid
- doi:10.3390/s90402555
- Han, S. H., Heo, J., Sohn, H. G., and Yu, K. 2009. Parallel Processing Method for Airborne Laser Scanning Data Using a PC Cluster and a Virtual Grid. Sensors 2009, 9 (4): 2555-2573; doi:10.3390/s90402555.
- (2009) Sensors 2009 , vol.9 , Issue.4 , pp. 2555-2573
- Han, S.H.¹ Heo, J.² Sohn, H.G.³ Yu, K.⁴

5
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- Evaluation of MapReduce for gridding LIDAR data, CloudCom
- Krishnan, S., Bary, C., Crosby, C., 2010. Evaluation of MapReduce for Gridding LIDAR Data, CloudCom, pp. 33-40, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.
- (2010) 2010 IEEE Second International Conference on Cloud Computing Technology and Science , pp. 33-40
- Krishnan, S.¹ Bary, C.² Crosby, C.³

6
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- GeoInformatics Training, Research, Education, and Extension (GeoTRE) Center of University of Northern Iowa Accessed on August 30, 2012
- Iowa Lidar Mapping Project (ILMP), GeoInformatics Training, Research, Education, and Extension (GeoTRE) Center of University of Northern Iowa, http://geotree2.geog.uni.edu/lidar/ Accessed on August 30, 2012.
- Iowa Lidar Mapping Project (ILMP)

7
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- Accessed on February 11, 2011
- LAStools.http://www.cs.unc.edu/~isenburg/lastools/ Accessed on February 11, 2011.
- LAStools

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.