Thick clouds region detection base on double scale background Gauss model in large scale high resolution ocean remote sensing images
Wen Li, Jihong Zhu, Jihong Pei, Lixia Wang · 2016
Aiming to reduce the thick cloud interference in target detection, this paper proposed a thick cloud region detection method based on double scale ocean background Gauss model for large scale high resolution ocean remote sensing images. Firstly, the paper analyzed the statistical characteristics of seawater background and thick cloud with Haar wavelet decomposition principle, and it found they are distinct in different scales. Secondly, this paper established a double scale Gauss model for seawater background and give its parameters estimation method. Finally, the thick cloud region detection method is put forward based on seawater background model. Experimental results show that our proposed method can detect thick cloud regions effectively.