Browse > Article
http://dx.doi.org/10.7780/kjrs.2013.29.5.4

A Study on Automatic Detection of the Gross Errors on DSM Using Stereo Image Analysis  

Jeong, Jaehoon (Department of Geoinformatic Engineering, Inha University)
Kim, Taejung (Department of Geoinformatic Engineering, Inha University)
Publication Information
Korean Journal of Remote Sensing / v.29, no.5, 2013 , pp. 487-497 More about this Journal
Abstract
In this paper, a method of using high resolution stereo images is proposed to efficiently detect DSM errors. Automatically generated DSMs from stereo matching can be a useful solution to acquire DSM data in various aspects but they may include many gross errors coming from automatic processing. Therefore, a method to detect the gross errors on DSM is required for efficient DSM update. In this paper, stereo analysis using high resolution stereo images was investigated to represent reliability of DSM grids. The analysis enabled automatic detection of the gross errors which greatly influenced DSM quality. We used the reference DSM to assess reliability of our proposed method. We confirmed from experimental results that our method can be a valuable DSM errors analysis for efficient DSM correction. Our method is useful to analyze and improve DSM accuracy for various types of DSM and DEM. It is expected that our approach can be exploited for achievement of reliable DSM and DEM.
Keywords
DSM; Gross Errors; Automatic Detection; Stereo Analysis; Correlation;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Lee, S.W., and H.S. Oh, 2004. Evaluation of Digital Elevation Models by Interpreting Correlations, The KIPS transactions, 11(2): 141-148.   과학기술학회마을   DOI   ScienceOn
2 Rhee, S., J. Jeong, and T. Kim, 2009. DEM Generation from Kompsat-2 images and Accuracy Comparison by Using Common Software, Korean journal of remote sensing, 25(4): 359- 366 (in Korean with English abstract).   과학기술학회마을   DOI
3 Rhee, S., J. Jeong, T. Lee, and T. Kim, 2011. DEM Generation and Accuracy Comparison from Multiple Kompsat-2 Images, Korean journal of remote sensing, 27(1): 51-58 (in Korean with English abstract).   과학기술학회마을   DOI   ScienceOn
4 Jeong, J. and T. Kim, 2009. Comparison of Orbitattitude Model between Spot and Kompsat-2 imagery, Korean journal of remote sensing, 25(2):133-143 (in Korean with English abstract).   DOI
5 Dial, G., H. Bowen, F. Gerlach, J. Grodecki, and R. Oleszczuk, 2003. Ikonos satellite, imagery, and products, Remote Sensing of Environment, 88(1/2): 23-36.   DOI   ScienceOn
6 Rhee, S. and T. Kim, 2011. DEM generation and accuracy analysis from high resolution satellite images through a 3D correlation matching algorithm, Proc. of 2011 International Symposium on Remote Sensing, Yeosu, Nov. 2-4, pp. 608-611.
7 Radhika V.N., B. Kartikeyan, K. B. Gopala, S. Chowdhury and P. K. Srivastava, 2007. Robust Stereo Image Matching for Spaceborne Imagery, IEEE Transactions on Geoscience and Remote Sensing, 45(9): 2993-3000.   DOI   ScienceOn
8 Reinartz P., R. Muller, M. Lehner and M. Schroeder, 2006. Accuracy analysis for DSM and orthoimages derived from SPOT HRS stereo data using direct georeferencing, ISPRS Journal of Photogrammetry & Remote Sensing, 60(3):160-169.   DOI   ScienceOn
9 Tong, X., S. Liu, and Q. Weng, 2010. Bias-corrected rational polynomial coefficients for high accuracy geo-positioning of QuickBird stereo imagery, ISPRS Journal of Photogrammetry & Remote Sensing, 65(2): 218-226.   DOI   ScienceOn
10 Toutin T., 2006. Generation of DSMs from SPOT-5 intrack HRS and across-track HRG stereo data using spatiotriangulation and autocalibration, ISPRS Journal of Photogrammetry & Remote Sensing, 60(3): 170-181.   DOI   ScienceOn
11 Vassilopoulou, S., L. Hurni, V. Dietrich, E. Baltsavias, M. Pateraki, E. Lagios and I. Parcharidis, 2002. Orthophoto generation using Ikonos imagery and high-resolution DEM: a case study on volcanic hazard monitoring of Nisyros Island (Greece), ISPRS Journal of Photogrammetry & Remote Sensing, 57(1-2): 24-38.   DOI   ScienceOn