Fast Extraction of Conjugated Area Features and Accurate Registration of Remote Sensing Image

Extraction and matching of conjugate image features is prerequisite for registration of multi-sensors images.Feature of image includes points,lines and polygons.We focus on area feature-based image registration for the reason that area features improves registration accuracy.More importantly,area features are often the sole basis for image registration.We propose using 'dilation' operator in mathematical morphology as a pre-processing procedure to prevent boundaries extracted using conventional Laplacian of Gaussian(LoG) operator from becoming discontinuous.We use a boundary algebra algorithm to mark area features with closed boundaries rapidly.We explory singular value decomposition(SVD) to match images based on centroids of area features extracted beforehand.Experiments confirmed that the proposed methods are superior over conventional methods in terms of speed and accuracy.