Abstract:

Oil tank has been of great significance for both military and civilian applications.Its detection is an important application of remote sensing images.We propose a method based on saliency map segmentation distributed target detection and recognition for easier tank remote sensing image detection and higher recognition rate.The visual saliency model is adopted first to obtain suspected candidate depot area and the multi threshold Otsu method to segment the target;the circular and spatial distribution features of the depot are used for tank detection and identification;a priori knowledge of the scene by the distribution depot is employed to improve the detection and identification efficiency and reduce the false alarm rate.A large number of experiments show that this method can effectively realize the remote sensing images in the detection and recognition of the depot.

Key words: visual saliency;Ostu segmentation;object detection;remote image;oil tank