Relative radiation correction method of remote-sensing image

Abstract

The invention discloses a relative radiation correction method of a remote-sensing image. The method include steps: performing high and low frequency separation on a to-be-corrected image, performingrelative radiation correction on a low frequency portion, calculating a correction coefficient through linear regression of invariant feature points in the low frequency, protecting high frequency information containing the feature change reserved in the low frequency, and finding invariant feature points in the low frequency portion of the to-be-corrected image and a low frequency portion of a reference image by employing an adaptive threshold through an IR-MAD algorithm. According to the method, wavelet transformation and a multivariate alteration detection method are adopted, the problem ofrelative radiation correction is solved from high and low frequency separation and selection of the invariant feature points, the high frequency information containing the feature change reserved inthe low frequency is protected, and a radiation correction result is in favor of multi-temporal image analysis including change detection.

Description

technical field [0001] The invention relates to a relative radiation correction method of a remote sensing image, belonging to the technical field of remote sensing image processing. Background technique [0002] Changes in surface features are often reflected in changes in spectral radiation characteristics in remote sensing images, so existing change detection and time series analysis methods often determine whether there are changes by analyzing the radiation differences between remote sensing images. However, due to the influence of different atmospheric conditions, lighting conditions, surface fluctuations, soil moisture, vegetation climate, sensor imaging models, and side angles when imaging in different seasons and at different times, even if the ground objects do not change, the images formed in the same area Images also have large radiometric differences, which brings great difficulties to multi-temporal image processing and analysis such as change detection. For t...

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Problems solved by technology

However, after the high and low frequencies are separated, the change information of the ground objects will still remain in the low frequency components. The existing methods do not consider the changed parts and the unchanged parts of the low frequencies separately when processing the low frequency components, resulting in the radiation of the changing ground objects. Differences are weakened, which ultimately affects the accuracy of change detection

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