Publications

Semi-supervised classification of terrain features in polarimetric SAR images using H/A/α and the general four-component scattering power decompositions

Dauphin, Stephen M.; West, Roger D.; Riley, Robert; Simonson, Katherine M.

In an effort to enhance image classification of terrain features in fully polarimetric SAR images, this paper explores the utility of combining the results of two state-of-the-art decompositions along with a semi-supervised classification algorithm to classify each pixel in an image. Each pixel is labeled either with a pre-determined classification label, or labeled as unknown.