Fast cloud detection using low-frequency components of satellite imagery Uydu Görüntülerinin Düşük Frekansli Bileşenlerinden Yüksek Hizli Bulut Tespiti

Ufuk D. U., Demirpolat C., Demirci M. F.

25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Turkey, 15 - 18 May 2017 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2017.7960237
  • City: Antalya
  • Country: Turkey
  • Keywords: Cloud Detection, Discrete Wavelet Transform, Göktürk-2, Satellite Image, Texture Feature
  • Ankara Yıldırım Beyazıt University Affiliated: No


© 2017 IEEE.Being able to rapidly detect clouds in satellite imagery is critical in terms of increasing mission efficiency of ground observation satellites. In this work, a new approach has been proposed for cloud detection involving the utilisation of low-frequency Discrete Wavelet Transform (DWT) components whose sizes are 1/64 of the original image sizes. In the proposed method, several texture features are calculated from the low-frequency DWT components and the cloud pixels are detected by using a K-Nearest Neighbors (KNN) classifier. The proposed method has been tested on the Göktürk-2 images. Since the utilization of low-frequency components leads to a significant loss in detail; the cloud detection performance have decreased to some extent. Nevertheless the obtained results were found to be sufficient for determining the cloudiness rate at a small margin of error, and at approximately 145× increased processing speed.