With the ever-increasing demand in the analysis and understanding of aerial images in order to remotely recognize targets, this paper introduces a robust system for the detection and localization of cars in images captured by air vehicles and satellites. The system adopts a sliding-window approach. It compromises a window-evaluation and a window-classification subsystems. The performance of the proposed framework was evaluated on the Vaihingen dataset. Results demonstrate its superiority to the state of the art.
Car Detection in Aerial Images of Dense Urban Areas
IEEE Transactions on Aerospace and Electronic Systems ; 54 , 1 ; 51-63
2018-02-01
2624836 byte
Article (Journal)
Electronic Resource
English
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