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Volumn 7477, Issue , 2009, Pages

Accessible high performance computing solutions for near real-time image processing for time critical applications

Author keywords

Disaster assessment; GPU computing; Grid computing; Image processing; Large data sets; Very fine spatial resolution imagery

Indexed keywords

AUTOMATED PROCESSING; BLADE SERVERS; BUILT-UP AREAS; COMPUTING CLUSTERS; COMPUTING TIME; CRITICAL INFORMATION; DAMAGE ASSESSMENTS; GPU COMPUTING; GRAPHICS PROCESSING UNIT; HARDWARE ARCHITECTURE; HARDWARE SOLUTIONS; HIGH-PERFORMANCE COMPUTING; HPC TECHNOLOGY; INDEX IMAGE; LARGE DATA SETS; MOVING WINDOW; POST-DISASTER MANAGEMENT; PROCESSING POWER; QUALITATIVE EVALUATIONS; REAL-TIME IMAGE PROCESSING; REMOTELY SENSED IMAGERY; ROTATION INVARIANT; SOFTWARE CODING; TIME-CRITICAL APPLICATIONS; VERY FINE SPATIAL RESOLUTION IMAGERY; VIDEO CARDS;

EID: 70350441567     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.830356     Document Type: Conference Paper
Times cited : (3)

References (7)
  • 1
    • 70350459286 scopus 로고    scopus 로고
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    • ISFEREA 2009 - http://isferea.jrc.ec.europa.eu.
    • (2009) ISFEREA
  • 3
    • 84870669691 scopus 로고    scopus 로고
    • Sun Grid Engine - http://gridengine.sunsource.net/.
    • Sun Grid Engine
  • 5
    • 0018466704 scopus 로고
    • Statistical and structural approaches to texture
    • Haralick, R. M., "Statistical and structural approaches to texture", Proceedings of the IEEE, vol. 67, 786-804, (1979).
    • (1979) Proceedings of the IEEE , vol.67 , pp. 786-804
    • Haralick, R.M.1
  • 7
    • 70350452004 scopus 로고    scopus 로고
    • Open source remote sensing: Increasing the usability of cutting-edge algorithms
    • Christophe, E. and Inglada, J., "Open Source Remote Sensing: Increasing the Usability of Cutting-Edge Algorithms, " IEEE Geoscience and Remote Sensing Newsletter, (2009). http://www.orfeo-toolbox.org.
    • (2009) IEEE Geoscience and Remote Sensing Newsletter
    • Christophe, E.1    Inglada, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.