Real-time detection of flying aircraft using hyperspectral satellite imges
- Resource Type
- Conference
- Authors
- He, Guangjun; Fu, Han; Feng, Pengming; Liu, Shishuo; Chang, Jiang; Jin, Shichao
- Source
- 2022 International Symposium on Networks, Computers and Communications (ISNCC) Networks, Computers and Communications (ISNCC), 2022 International Symposium on. :1-8 Jul, 2022
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Signal Processing and Analysis
Computers
Satellites
Correlation
Imaging
Feature extraction
Real-time systems
Computational efficiency
flying aircraft detection
GF-5 Satellite
hyperspectral remote sensing image
- Language
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.