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This paper describes the image recognition algorithm for on-board and stationary vision system. Suggested algorithm is intended to recognize the aerial object of a specific kind using the set of the reference objects defined by 3D models. The proposed algorithm based on the outer contour descriptor building. The algorithm consists of two stages: learning and recognition. Learning stage is devoted to the exploring of reference objects. Using 3D models we can gather set of training images bydoi:10.5194/isprs-archives-xlii-2-w4-91-2017 fatcat:r2yobekmyvcmzdklco62s53vmm