Multiple time phase remote sensing image registration method based on edge and spectral reflectivity curve

Abstract

The invention discloses a multiple time phase remote sensing image registration method based on an edge and spectral reflectivity curve. The multiple time phase remote sensing image registration method based on the edge and spectral reflectivity curve mainly solves the problems that stability is insufficient and accuracy is low when registration is conducted on two time phases of multiple spectral image sets with variation regions and whole luminance difference in the prior art. The multiple time phase remote sensing image registration method based on the edge and spectral reflectivity curve comprises the following steps: small wave high frequency coefficient matrixes are added and divided, the small wave high frequency coefficient matrixes are added simultaneously, the input two time phases of the multiple spectral image sets are preprocessed, and thus two time phases of strong edge images are acquired; registration parameters of edge alignment metric of the two time phases of the strong edge images are calculated to register the two time phases of image sets and acquire coarse registration image sets; the coarse registration image sets are converted into opposite object spectral reflectance image sets, small wave high frequency coefficients of time phases 1 of the object spectral reflectance image sets are reconstructed to acquire coarse registration edge images, and the coarse registration edge images conduct local matching on opposite object spectral reflectance images of the time phases 1 and time phases 2 to acquire a final registration image set. The multiple time phase remote sensing image registration method based on the edge and spectral reflectivity curve can be used for change detection, integrating and embedding.

Description

Technical field [0001] The invention belongs to the technical field of optical remote sensing image processing, and relates to registration in the case of large translational and rotational misalignment between remote sensing images of the same geographic location acquired by the same multispectral sensor at different times, and can be used for multi-temporal multispectral remote sensing image changes Pre-registration work in detection, fusion, mosaic, etc. Background technique [0002] In recent years, with the continuous improvement of the publicity of multi-spectral remote sensing image data and the continuous improvement of processing technology, multi-spectral remote sensing image data has been widely used in urban planning, resource investigation, natural disaster prevention, crop growth monitoring, military target detection, etc. Multiple application areas. [0003] The wide application of multispectral remote sensing images firstly requires a number of digital image proces...

AI Technical Summary

Problems solved by technology

Generally speaking, since the gray value of the pixel is not directly used as the object of similarity measurement, this type of method is less affected by the difference in brightness between different time phases, the difference in imaging characteristics between different sensors and images of different bands, and is suitable for multi-time Registration of multi-spectral remote sensing images, but it is required that the images to be registered contain relatively obvious edge information, otherwise the failure to extract ideal edges will likely lead to registration failure

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