Journal cover Journal topic
Proceedings of the ICA
Journal topic
Volume 2
Proc. Int. Cartogr. Assoc., 2, 111, 2019
https://doi.org/10.5194/ica-proc-2-111-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Proc. Int. Cartogr. Assoc., 2, 111, 2019
https://doi.org/10.5194/ica-proc-2-111-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  10 Jul 2019

10 Jul 2019

Automatic Change Detection Based on Edge Information Using Two Different Types of Ortho Image

Akira Sasagawa, Shuto Sugai, and Mayumi Noguchi Akira Sasagawa et al.
  • Geospatial Information Authority of Japan

Keywords: Automatic Change Detection, Map Update, Ortho Image, Edge-vector

Abstract. A new algorithm of automatic change detection for update of base map is presented. In conventional method, using two different types of ortho image, such as aerial photo and satellite image, makes detection quality worse due to the difference of each contrast, brightness, color balance and so on. To obtain robust result against such difference between two images, we introduce edge-vector technique. We applied this method using two ortho images derived from each aerial photo and satellite image. We have tested our method and confirmed a performance of the change detection by the interpretation test. In this paper, the detailed algorithm and the result of interpretation test are reported.

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