Nearest polarimetric and spatial neighbours for feature space projection and guidance image-based spatial filtering for PolSAR image classification

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.