Abstract:

In order to detect cloud areas of color aerial images effectively, a cloud detection method of color aerial images by edge-aware recursive filtering is proposed. The variation mapping is constructed using adaptive guided weight based edgeaware recursive filtering. Based on the variation mapping, the input aerial image is divided into pending cloud areas and non-cloud areas by intra-class variance based recursive threshold selection. The original aerial image is progressively filtered using the edge-aware recursive filtering and the hierarchical details are effectively extracted. The detail mapping of the aerial image is constructed and used to refine the pending cloud areas. The performance of the detection results is evaluated by the objective indicator. The experimental results show that the proposed method is effective, easy, and of lower computational complexity compared with other similar methods.