Remote Sensing Image Enhancement Method Based on Super Empirical Pattern Decomposition

Abstract

The invention relates to a remote sensing image enhancement method based on super-empirical mode decomposition. The method includes the steps: performing multi-scale multidirectional decomposition for a remote sensing image to be enhanced from high frequency to low frequency to obtain high-frequency intrinsic mode components and low-frequency remaining components at all levels of scales; enhancing the high-frequency intrinsic mode components and the low-frequency remaining components at all levels of scales by the aid of a nonlinear enhancement function; reversely reconstructing the enhanced high-frequency intrinsic mode components and the enhanced low-frequency remaining components at all levels of scales to obtain an enhanced image. The method can effectively extract detailed information of a source image, realizes remote sensing image enhancement based on a brand-new multi-scale decomposition structure and has complete data driven adaptivity, higher detailed information acquisition capacity and important significance and practical values for application in the field of remote sensing image enhancement, and the high-frequency intrinsic mode components and the low-frequency remaining components are enhanced by the aid of the nonlinear enhancement function, so that the quality of the enhanced image is improved.

Description

technical field [0001] The invention belongs to the technical field of image enhancement, and relates to a remote sensing image enhancement method based on super-empirical pattern decomposition. Background technique [0002] The purpose of image enhancement is to improve the visual effect of the image, aiming at the application of a given image, purposefully emphasize the overall or local characteristics of the image, make the original unclear image clear or emphasize some interesting features, expand The difference between different object features in the image, suppressing uninteresting features, improving image quality, enriching information, enhancing image interpretation and recognition effects, meeting the needs of some special analysis, suitable for computer understanding, analysis and subsequent processing demand. [0003] Remote sensing image enhancement is an important application in image enhancement. Due to the spatial noise and the influence of the equipment i...

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Problems solved by technology

[0007] The purpose of the present invention is to provide a remote sensing image enhancement method based on super-empirical mode decomposition, which does not cause distortion in images enhanced by wavelet and super-wavelet fusion algorithms, and does not appear in window empirical mode decomposition, which is less effective in remote sensing image enhancement problem to enhance the details of the image well

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