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


© 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.