ABSTRACT
A feature space projection based on the nearest polarimetric and spatial neighbours is proposed for polarimetric synthetic aperture radar (PolSAR) images. The objective function is designed such that increases the class discrimination while preserves the contextual properties. Each polarimetric or spatial neighbour is contributed proportional to with its Wishart distance to the given pixel. A guidance image, which involves all polarimetric channels, is also introduced for spatial filtering of the initial classification map, which is efficient for improving the final classification map. The proposed method shows high performance for PolSAR image classification using limited training samples.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Data availability
No new datasets were generated or analyzed in this paper. The datasets used for the experiments are publicly available benchmark datasets.