Fast algorithm for airfield extraction under complex circumstance based on remote sensing image

According to analysis of runways geometric features in remote sensing images, a new airfield detection method combining color, texture segmentation and shape analysis is presented, where the color and texture features are used for global classification while shape information is used for local analysis. In order to extract airfield runway information, an improved method based on direction and length filter is proposed, in which the useless scanning can be stopped promptly. The experimental results presented in this paper show that this algorithm could eliminate the interference under complex circumstance and could improve the efficiency and accuracy of military airfield recognizing and understanding. It has higher computing speed and less space demand compared with the existing Hough-based algorithm. Furthermore, the proposed algorithm is simple and easy to implement.

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