The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 523–527, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-523-2018
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 523–527, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-523-2018

  19 Sep 2018

19 Sep 2018

COMPARING STEREO IMAGE MATCHING PERFORMANCE BY MULTIDIMENSIONAL SEARCH WINDOWS

S. Rhee1, S. Kim1, H. R. Ahn1, and T. Kim2 S. Rhee et al.
  • 13DLabs Co. Ltd., 100 Inharo, Namgu, Incheon, Republic of Korea
  • 2Dept. of Geoinformatic Engineering, Inha University, 100 Inharo, Namgu, Incheon, Republic of Korea

Keywords: image matching, point cloud, DSM, line element, search window

Abstract. Image matching is a key technology for extraction of dense point cloud and 3D terrain information using satellite/aerial imagery. In image matching using brightness values of pixels, the size of search window is an important factor for determining the matching performance. In this study, we perform matching using multi-dimensional search windows applicable to area-based matching and compare the performance. Also, the search window is reconfigured by using the linear information existing on the image, and the matching is tried. Comparing the fixed search window and the multi-window matching results, it was confirmed that the multiple windows under the same conditions show relatively high accuracy. We can also see that the method of applying the line element has slightly better accuracy. As a result of applying the line element extraction technique, a large number of pixels are not extracted compared with the total image pixel amount. There was no significant difference in the results of visual analysis. However, we have confirmed that this technique has contributed to improving accuracy.