Identifying and tracking specific building areas in airborne remote sensing video with complicated scenes

Automatic identification and tracking for specific building areas is not only of great significance in airborne remote sensing video data processing,but also one of the key technologies for task-oriented non-hovering airborne platform to search ground and boost fire control system.This paper proposes an identification and tracking algorithm of specific building areas for real complex application scenes.First,to extract local descriptors for offline reference images with target areas.At the stage of target area online identification,in order to ensure the timeliness,a fast SIFT (Scale Invariant Feature Transform) feature extraction method based on significant edges is proposed to extract local descriptors for suspected areas in large field of view images to be detected.In addition,the hierarchical feature point matching method is designed to achieve a highly reliable identification of target areas.At the stage of online tracking for target area,adaptive window and trajectory predicting technologies can effectively delineate suspected target areas,and within the limited range to recognize the final targets and track them.Real-measured data simulation results show that the proposed algorithm in complex scene conditions can realize the quick identification and stable tracking for a particular building area.It can also provide a key technical support for the future application of real systems.