The report examines the implementation features of the image processing subsystem architecture for mine-detecting drones. The architecture of an ensemble classifier with stacking is proposed as the most promising. It allows the most flexible implementation of the classifier based on the requirements of practical implementation in quasi-real time.


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    Title :

    Using Stacked Ensemble Classifiers to Speed Up Object Recognition in Images for Mine Detection Drones




    Publication date :

    2024-10-22


    Size :

    436790 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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