Volume XL-2/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W1, 31-34, 2013
https://doi.org/10.5194/isprsarchives-XL-2-W1-31-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W1, 31-34, 2013
https://doi.org/10.5194/isprsarchives-XL-2-W1-31-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

  13 May 2013

13 May 2013

STUDY ON THE QUALITY CONTROL METHODS OF CLUSTER-BASED REMOTE SENSING IMAGE PROCESSING

L. Xia, L. B. Zhao, X. P. Zhang, and X. M. Zhou L. Xia et al.
  • The First Institute of Photogrammetry and Remotes Sensing, Xi’an, China

Keywords: Cluster, quality control, aerial triangulation, DOM

Abstract. Along with the advances in technology, modern surveying technology developed rapidly, a series of high-tech equipments have been invited and developed. A lot of cluster-based Remote Sensing image processing systems, at home or abroad, have been produced and used in production, such as PixelFactory, PixelGrid, CIPS etc. Been popularized and used, processing technology and procedure have changed to be different from the old pattern, and traditional ways of quality control no longer meet the need of new technology. Above all, it is of vital importance for us to find new ways of procedure quality control for the geographical spatial data quality certification under new technology system. Based on the mainstream image fast processing systems – PixelFactory and PixelGrid, the nodes and methods of quality control during image processing will be studied in this paper, including image preprocessing, AT, DSM, DEM, ortho-rectification, mosaic etc. After that, the feasibility of quality control ways proposed will be verified by actual production project. All the advices can be used as references for large-scale application of new technology in information surveying system.