测绘通报 ›› 2018, Vol. 0 ›› Issue (12): 105-108,124.doi: 10.13474/j.cnki.11-2246.2018.0393

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Real Projective Processing of UAV Based on Image Consistency Detection

SHEN Cailian1, XU Liuhua2, MA Xuwen2   

  1. 1. Geomatics Center of Zhejiang, Hangzhou 310023, China;
    2. Zhejiang Academy of Surveying and Mapping, Hangzhou 310023, China
  • Received:2018-06-28 Revised:2018-10-17 Online:2018-12-25 Published:2019-01-03

Abstract: To solve the image "ghosting" problem existing in differential correction of unmanned aerial vehicle (UAV) TDOM image processing, this research puts forward a UAV TDOM image rectification based on image consistency. On the basis of grid division on differential correction region, and taking in the hash image consistency detection algorithm, this technology accurately detect and fast position the masking area of construction images based on the underground point radiation, and select the best image through the optimal underground point distance to compensate the masking area. The experimental results show that the algorithm is adaptable to the UAV small image and large field Angle image.

Key words: UAV, perceptual hash algorithm, TDOM, DSM, masking area of construction

CLC Number: