Aiming at the problem of aircraft detection in complex scene, a novel aircraft detection algorithm based on eigen-decomposition and scattering similarity for PolSAR image is proposed. Firstly, Image denoising is performed by using typical scattering difference index (TSDI) filter. Then, region of interest (ROI) containing airport runway and apron is extracted with the characteristics of scattering power, where suspected aircraft targets may exist. Finally, detection statistics are constructed with eigenvalue and scattering similarity parameters to determine true aircraft from suspected targets. Experimental results with real PolSAR data acquired by USA NASA UAVSAR system show that the proposed method can detect aircrafts in complex scene with low resolution effectively.
Aircraft Detection Based on Eigen Decomposition and Scattering Similarity for PolSAR Image
2018-09-01
951279 byte
Conference paper
Electronic Resource
English
A Novel Image Similarity Measure Based on Greatest and Smallest Eigen Fuzzy Sets
BASE | 2023
|Automatic Detection of Airport Runway Area Based on Super-Pixel PolSAR Image Classification
Springer Verlag | 2019
|Automatic Detection of Airport Runway Area Based on Super-Pixel PolSAR Image Classification
British Library Conference Proceedings | 2019
|