Research of Content Feature Descriptors for Lunar Images Based on Saliency Regions
Jun Wang · Dianzi xuebao · 2012
A feature descriptor called LIBFS is proposed for lunar remote sensing images based on the saliency regions and a parallel LIBFS generating algorithm is proposed facing the multi-cores processor architecture.The algorithm considers the location,scale,strength and distance relationship among different saliency regions in a lunar image.Several local LIBFS features are generated to describe the content of the image together.Theoretical analysis and experiments show that the LIBFS works well in invariance and similarity presentation,and the feature generating algorithm is of high parallel efficiency.