Improved SAR image and multi-spectral optical image fusion method

Abstract

The invention discloses an improved SAR image and multi-spectral optical image fusion method. The method comprises the following steps: step 1, subjecting an original SAR image and a multi-spectral optical image to cubic re-sampling to obtain an SAR image and a multi-spectral optical image with the same image size; step 2, decomposing the re-sampled multi-spectral optical image into n wavebands, calculating the haze value of each wave band, and removing the haze value from the multi-spectral optical image after the re-sampling operation; step 3, carrying out preliminary fusion on the SAR imageobtained in the step 1 and the multispectral optical image obtained after the haze removal in the step 2, and then adding the haze value removed in the step 2 into the preliminarily fused image. Theinfluence of the haze on the image fusion quality is reduced to the maximum, so that the shape of a ground feature spectrum is kept to the largest extent in an obtained synthetic image. The intensityof the ground feature spectrum is replaced with the brightness of a corresponding SAR pixel, so that the abundant terrain and texture information can be included as much as possible.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to an improved fusion method of SAR images and multispectral optical images. Background technique [0002] Remote sensing image fusion technology can fuse images with different resolutions and different contents together to obtain a composite image containing both contents. Common remote sensing image fusion is the fusion of multispectral and panchromatic bands. The obtained multispectral composite image contains not only the spectral information of the original multispectral image, but also the spatial details of the ground object of the panchromatic image with high spatial resolution, so it has better visual effect and interpretability. It has a wide range of applications in object recognition; in IHS and PCS fusion methods, it is assumed that the brightness components of SAR images and multispectral images are highly correlated. However, the information ...

AI Technical Summary

Problems solved by technology

Replacing the brightness component of the image with SAR will bring in too much irrelevant information, and finally make the spectral distortion of the object in the composite image obvious, which will bring errors that are difficult to eliminate in the subsequent processing.

Images