The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 285–290, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-285-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 285–290, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-285-2021

  28 Jun 2021

28 Jun 2021

RESEARCH ON THE NETWORK MAP SERVICE TECHNOLOGY OF REMOTE SENSING IMAGE INTELLIGENT CONVERSION BASED ON GAN MODEL

D. Tang1, W. Huang1, Z. Zha1, J. Yang1, X. Zhou2, and C. Wang1 D. Tang et al.
  • 1National Geomatics Center of China, 100830 Beijing, China
  • 2Beijing Institute of Remote Sensing Information, 100085 Beijing, China

Keywords: GAN (Generative Adversarial Networks), Remote sensing image, Intelligent conversion, The network map

Abstract. Based on an improved generative adversarial networks algorithm (CGAN), this paper explores a technical way to realize map transformation through autonomous learning and training of remote sensing images. Just skip the trial process vector data update and cumbersome process of mapping the basic map elements can be automatically transform, the image on the main streets and typical rules of construction material, can achieve automatic identification and transformation, greatly shorten the tile map production and update cycle, improve the efficiency of the network map service quality. The results of the test platform have proved that it can be applied to a certain extent and can basically meet the requirements of network map production.