According to the difference of visual saliency between target and background together with the morphological characteristics of the aircrafts. This paper proposes a novel aircraft target recognition algorithm based on saliency detection. The algorithm first detects the saliency of the pre-processed remote sensing image and eliminates the influence of shadow for the region of interest extraction distinguish the region of interest based on the morphological characteristics of the aircrafts, and then achieve aircraft target recognition. Finally, calculates the aircraft fuselage length, wingspan and relative moments. Afterwards, the aircraft type discrimination can be achieved via feature matching. Extensive experiments show that the algorithm has accurate feature extraction results and high target recognition accuracy.


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    Title :

    Aircraft Target Recognition Combining Saliency Detection and Feature Matching


    Contributors:
    Yang, Lei (author) / Zhang, Weiwei (author) / Peng, Zhengyan (author)


    Publication date :

    2021-10-20


    Size :

    1389942 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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