期刊文献+

GIS图形工作站的组建

On the Formation of GIS Graphics Workstations
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摘要 近年来,由于日益广泛的应用领域对地理信息系统(GIS)的要求不断提高,使得GIS技术迅速发展,许多计算机领域的新技术如WebGIS技术、面向对象的数据库技术、三维技术、图像处理、人工智能技术和GPU计算技术都融合应用到GIS中,为GIS提供了先进的发展工具和手段。本文针对其发展趋势提出组建GIS图形工作站,图形工作站技术将在未来GIS的发展中发挥着越来越重要的作用。 In recent years,the rapid development of GIS technology,on the one hand from an increasingly wide range of applications of GIS constantly increasing requirements; on the other hand,many computers in the field of new technologies,such as Web GIS technology,object- oriented database technology,3D technology,image processing,artificial intelligence technology and GPU computing technologies are integrated into a GIS application for GIS provides advanced development tools and instruments. Several trends from the above,you can see a graphical workstation technology will play an increasingly important role in the future development of GIS.
出处 《测绘与空间地理信息》 2015年第12期153-155,共3页 Geomatics & Spatial Information Technology
关键词 GIS GPU计算技术 图形工作站技术 GIS GPU computing technology graphics workstation technology
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参考文献5

  • 1克拉克[美].地理信息系统导论(第5版)[M].北京:清华大学出版社,2003.
  • 2佚名.QUADRO图形显示卡技术介绍[G].北京:NVIDIA官网,2012.
  • 3哈特[美].Windows系统编程[M].北京:机械工业出版社,2010.
  • 4周成虎,骆剑承.高分辨率卫星遥感影像地学计算[M].北京:科学出版社,2008:22-24.
  • 5许雪贵,张清.基于CUDA的高效并行遥感影像处理[J].地理空间信息,2011,9(6):47-54. 被引量:17

二级参考文献15

  • 1J.Setoain, C.Tenllado, M.Prieto, et al. "Parallel Hyperspectral Image Processing on Commodity Gra- phics Hardware" [C]. Proceedings of the International Conference on Parallel Processing Workshops, 2006:465-472.
  • 2Javier Setoain, Manuel Prieto, Christian Tenllado, Antonio Plaza and Francisco Tirado, "Parallel Morphological Endmember Extraction Using Commodity Graphics Hardware"[J]. IEEE Geoscience and Remote Sensing Letters, 2007:441-445.
  • 3Timo Balz, Norbert Haala, "Improved Real-Time SAR Simulation in Urban Areas" [C]. International Geoscience and Remote Sensing Symposium (IGARSS), 2006:3631-3634.
  • 4CUDAZONE中丈站案例之:ISV@CUDA的应用[OL].Http://cuda.csdn.net/showcase.html,.
  • 5Scott Grauer-Gray, Chandra Kambhamettu, Kannappan Palaniappan . GPU Implementation of Belief Propagation Using CUDA for Cloud Tracking and Reconstruction [C].Pattern Recog-nition in Remote Sensing (PRRS 2008). 2008:1-4.
  • 6Yong Kiat Allan Tan, Wee Juan Tan, Leong Keong Kwoh. Fast Colour Balance Adjustment of IKONOS Imagery Using CUDA [C]. Geoscience and Remote Sensing Symposium. 2008: 1052-1055.
  • 7SUN Xiaogu, LI Manchun, LIU Yong-xue, et al. Accelerated Segmentation Approach with CUDA for High Spatial Resolution Remotely Sensed hnagery Based on Improved Mean Shift [J].Urban Remote Sensing Event. 2009:1-6.
  • 8NVIDIA CUDA Programming Guide [M].Version 1.1.NVIDIA Corporation .2007.
  • 9CUDA CUFFT Library[M].Vl. I.NVIDIA Corporation.2007.
  • 10Ondrej Fialka, Martin Cadik. FFT and Convolution Performance in Image Filtering on GPU [C]. In Proceedings of the Tenth International Conference on Information Visualisation. 2006.

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