Water wake extraction of airphotos based on 2DPCA of polar Fourier spectrum

Abstract

A water wake detection method of airphotoes is proposed based on two-dimensional principal component analysis (2DPCA) of the polar Fourier spectrum. This method improves the traditional Principal Components Analysis to obtain the image direction from its Fourier power spectrum, transforms the Fourier spectrum to the polar coordinate based on the image direction, so the polar Fourier spectrum is translation and rotation invariant. Compared to the previous method of partitioning the Fourier spectrum to achieve texture features, the row 2DPCA, the column 2DPCA and the improved 2DPCA are used to analysis the polar Fourier spectrum. From experiment results of 40 images, it is proved that the proposed algorithm can fetch the wake texture precisely.