Time sequence remote sensing image fusion method

Abstract

The invention belongs to the field of image processing, and particularly relates to a time sequence remote sensing image fusion method. The method comprises the following steps: reconstructing a coarse resolution remote sensing image by using a time sequence model to obtain day-by-day coarse resolution time sequence data; performing panchromatic multispectral image fusion on the fine-resolution remote sensing image to obtain a high-resolution multispectral image; and carrying out space-time fusion on the existing high-resolution image and the reconstructed coarse-resolution image at the corresponding position to obtain a day-by-day high-resolution remote sensing image. According to the method, the space-time fusion technology, the panchromatic multispectral image fusion technology and the time sequence modeling interpolation technology are combined, so that the reconstruction of a high time sequence is realized, and the spatial resolution of the image is improved.

Description

technical field [0001] The invention belongs to the field of image processing, and specifically relates to a time-series remote sensing image fusion method. The fine-resolution remote sensing image is fused with a panchromatic multi-spectral image to obtain a high-resolution multi-spectral image, and then a time-spatial fusion algorithm is used to obtain a corresponding high time-sequence and high-resolution image. Remote sensing image technology. Background technique [0002] The current remote sensing data reconstruction methods mainly include space-time fusion, interpolation technology, image inpainting, super-resolution reconstruction technology, etc. Among them, the most widely used is the space-time fusion technology. The essence of space-time fusion technology is to apply the radiation correlation model established based on low spatial-high temporal resolution remote sensing images of multiple acquisition phases to high spatial-low temporal resolution remote sensing ...

AI Technical Summary

Problems solved by technology

The panchromatic multispectral image fusion method can effectively improve the spatial resolution of the reconstructed data, but due to the limitation of the sensor itself, it cannot achieve high time series reconstruction

Time series modeling interpolation technology uses the model to fit the missing data according to the similarity of time or space, and finally completes the interpolation filling, but the spatial resolution is not greatly improved

Images