Sampling method based on remote sensing images

A remote sensing image and image technology, applied in 2D image generation, image enhancement, image data processing, etc., can solve the problems of slow calculation speed, unguaranteed convergence, and unsatisfactory remote sensing image effect.

Inactive Publication Date: 2012-07-11
SUN YAT SEN UNIV
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Problems solved by technology

The feedback-control framework works better for videos and ordinary photos, but its convergence is not guaranteed, and experiments have shown that the effect on remote sensing images is not ideal. The biggest problem is the obvious loss of high-frequency information and slow calculation speed

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  • Sampling method based on remote sensing images
  • Sampling method based on remote sensing images
  • Sampling method based on remote sensing images

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Embodiment Construction

[0043]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0044] Aiming at remote sensing images, the present invention proposes a new remote sensing image up-sampling method based on convex set projection method and complex wavelet envelope. This method can achieve good results not only in the restoration and reconstruction of high-frequency details, but also in deblurring and noise reduction.

[0045] The present invention provides that the biggest difference between a high-resolution image and a low-resolution image lie...

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Abstract

The invention discloses a sampling method based on remote sensing images. The method comprises the steps of adopting projections onto convex sets POCS to perform up-sampling on remote sensing images, obtaining an intermediate result which can properly reconstruct a high-frequency detail part through superiorities of POCS, adopting a simple and effective prior art suitable for characteristics of the remote sensing images, setting Gaussian functions of a modulation transfer function MTF which presents anisotropy between the intermediate result and a real result, utilizing a Bayesian method to perform adaptive estimation on parameters, and utilizing the decomposition technology of a complex wavelet packet field for further deblurring and denoising, so as to obtain more accurate high-definition images. The method has good effects in terms of recovery and reconstruction of the high-frequency detail part and deblurring and denoising.

Description

technical field [0001] The invention relates to the technical field of computer image processing, in particular to a sampling method based on remote sensing images. Background technique [0002] In the field of geospatial information, sometimes there is no other data for the scene of interest, only a low-resolution image corrupted by blur and noise. How to restore a clear high-resolution image from a single piece of data is a complex and pathological inverse problem. There are many factors that cause remote sensing image degradation, including atmospheric influence, optical blur, relative motion, sensor factors and downsampling, etc. Therefore, high-quality remote sensing image upsampling and reconstruction must handle the resampling transformation of the image lattice and deblurring Problems such as image restoration with noise. [0003] Image upsampling is a doubly ill problem because neither the image nor the blur is known. In the past 20 years, many valuable methods h...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00G06T5/00
Inventor 陈子琦王若梅林格李飞燕傅明
Owner SUN YAT SEN UNIV
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