GPU UTILIZATION IN GEOPROCESSING BIG GEODATA: A REVIEW

Abstract. The expansion of data collection from remote sensing and other geographic data sources, as well as from other technology such as cloud, sensors, mobile, and social media, have made mapping and analysis more complex. Some geospatial applications continue to rely on conventional geospatial processing, where limitation on computation capabilities often lacking to attain significant data interpretation. In recent years, GPU processing has improved far more GIS applications than using CPU alone. As a result, numerous researchers have begun utilising GPUs for scientific, geometric, and database computations in addition to graphics hardware use. This paper summarizes parallel processing concept and architecture, the development of GPU geoprocessing for big geodata ranging from remote sensing and 3D modelling to smart cities studies. This paper also addresses the GPU future trends advancement opportunities with other technologies, machine learning, deep learning, and cloud-based computing.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: GPU UTILIZATION IN GEOPROCESSING BIG GEODATA: A REVIEW ; volume:XLVI-4/W3-2021 ; year:2022 ; pages:295-304 ; extent:10 ; The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLVI-4/W3-2021 (2022), 295-304 (gesamt 10)

Classification and Topics

• Classification: Geografie, Reisen

Contributors, Places and Time

• Creator: Saupi Teri, S. ; Musliman, I. A. ; Abdul Rahman, A.

Further information

• DOI: 10.5194/isprs-archives-XLVI-4-W3-2021-295-2022
• URN: urn:nbn:de:101:1-2022011304180494636783
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:23 AM CEST