Real-time detection of flying aircraft using hyperspectral satellite imges.

Real-time positioning of flying aircraft based on hyperspectral remote sensing images is a novel application of satellite remote sensing. The complex aviation environment proposes huge challenges to accurately obtain features of flying aircraft from hyperspectral images (HSI) based on the traditional remote sensing image processing method. This paper proposes an automatic detection method for flying aircraft by Gaofen-5 (GF-5) HSI. This study firstly acquires the candidate target regions by detecting anomalies among the spectral inter-bands based on the imaging characteristics of the GF-5 remote sensing satellite sensor and the features of flying aircraft in the remote sensing image. The flying aircraft is then detected by confirming its features of a linear combination and proportional displacement. The experimental results demonstrate that the detection accuracy of flying aircraft can reach 99.9% under good weather conditions. Furthermore, the proposed method can effectively reduce the computational cost and realize the real-time detection of flying aircraft, which can be used to detect flying targets in large-scale HSI.