Method for fusing moon surface multispectral image based on angular point measurement

Abstract

The invention discloses a method for fusing a moon surface multispectral image based on angular point measurement, which is characterized by comprising the following steps of: (1) respectively carrying out N-level wavelet decomposition on two source images; (2) solving coefficient average values of corresponding positions of source image similar planes as coefficients of corresponding positions of fusion image similar planes; (3) calculating an angular point measurement response amplitude graph with the same size as that of an original image; (4) giving a sliding window with the size of K*L, wherein K and L are odd numbers, and defining a region counter; (5) determining values of central position coefficients of corresponding regions on a fusion image corresponding wavlet plane; and (6) carrying out redundancy wavelet inversion to solve the fusion image. The method has the advantages of describing significance degrees of the angular point and the edge point of the corresponding positions of the source image wavelet planes, using the angular point measurement response value as the selection reference of the fusion coefficient of the corresponding position of the wavelet plane so as to effectively maintain the detail characteristics such as edges, angular points and the like of the source images.

Description

technical field [0001] The invention relates to an image fusion method, in particular to a multispectral image fusion method on the lunar surface based on angle point measurement. Background technique [0002] The first phase of my country's lunar exploration project and other national lunar exploration projects have provided many multi-space, multi-resolution, multi-temporal and multi-spectral images of the same area on the lunar surface, which provide information for the topographic mapping of the lunar surface and the identification and classification of lunar surface materials. rich data. Different elements on the surface of the moon and rocks containing different elements have different reflectivity to electromagnetic waves in each spectrum, so the grayscale, contrast and texture features of images in different spectrums of the same scene on the lunar surface are also different. By fusing two or more The spectral image of the lunar surface can make full use of the redun...

AI Technical Summary

Problems solved by technology

However, the redundant wavelet domain important center coefficient method only takes the relative size of the wavelet coefficients at the corresponding position on the i-th wavelet plane as the basis for fusion, and does not fully consider the significance of the edge and corner features of the corresponding position of the source image. low, and the corners and edges are important morphological features of the image, which are of great significance to the fusion of the image

Images