Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)

  • 2022.11a
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  • Pages.52-54
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  • 2022
  • /
  • 2005-0011(pISSN)
  • /
  • 2671-7298(eISSN)
Korea Information Processing Society (한국정보처리학회)
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Analog Satellite Receiver Oriented Aerial Image Enhancement Method using Deep Auto Encoders

Deep Auto Encoder 를 이용한 아날로그 위성 수신기 지향 항공 영상 향상 방법

  • De Silva, K. Dilusha Malintha (Division of Computer Science and Engineering, Jeonbuk National University) ;
  • Lee, Hyo Jong (Division of Computer Science and Engineering, Jeonbuk National University)
  • 드실바 딜루샤 (전북대학교 컴퓨터공학과) ;
  • 이효종 (전북대학교 컴퓨터공학과)
  • Published : 2022.11.21
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Abstract

Aerial images are being one of the important aspects of satellite imagery, delivers effective information on landcovers. Their special characteristics includes the viewpoint from space which clarifies data related to land examining processes. Aerial images taken by satellites employed radio waves to wirelessly transmit images to ground stations. Due to transmission errors, images get distorted and unable to perform in landcover examining. This paper proposes an aerial image enhancement method using deep autoencoders. A properly trained autoencoder can enhance an aerial image to a considerable level of improvement. Results showed that the achieved enhancement is better than that was obtained from traditional image denoising methods.

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Acknowledgement

This work was supported in part by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant 2019R1D1A3A03103736 and in part by project for Joint Demand Technology R&D of Regional SMEs funded by Korea Ministry of SMEs and Startups in 2021 (No. S3035805).