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Small target super resolution reconstruction method for remote sensing image

A technology for super-resolution reconstruction and remote sensing images, which is applied in the field of high-efficiency super-resolution image reconstruction algorithms for satellite remote sensing images, can solve problems such as image influence, achieve fast algorithm speed, increase image high-frequency detail information, and improve spatial resolution Effect

Inactive Publication Date: 2006-07-19
WUHAN UNIV
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Problems solved by technology

[0005] However, the key issue in the current research on super-resolution images is still the impact of the amplification of high-frequency noise on the image in the process of image restoration.

Method used

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  • Small target super resolution reconstruction method for remote sensing image
  • Small target super resolution reconstruction method for remote sensing image
  • Small target super resolution reconstruction method for remote sensing image

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Embodiment Construction

[0036] 1. Theoretical basis

[0037] Satellite remote sensing imaging systems are inevitably subject to defocusing, undersampling, and system random noise caused by atmospheric disturbances, imaging system relative ground object scene motion, geometric deformation, etc., resulting in descaling and degradation of remote sensing images. The support domain of the observation image, the atmospheric disturbance layer brings serious deformation to the observation image. Super-resolution reconstruction is an algorithm for reconstructing images with better image quality and higher spatial resolution from images with poorer quality and lower resolution. It is actually an inverse problem. When performing inversion operation, the inversion does not necessarily have a solution, that is, a singular problem; in addition, the inversion equation may have multiple solutions. Both of these situations are known as the pathological nature of image restoration.

[0038] Theoretically, the suppor...

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Abstract

The invention relates to a remotely sensed image small object super-resolution rebuilding method, which provides a remotely sensed image small object super-resolution rebuilding model; the space resolution factor adds 1.5 ploidy of the initial picture and effect depresses the extraneous wave; the linear material and the empirical distribution estimate the atmosphere disturb image parameter H; the redundancy wavelet distribution adopts mirror-image wavelet base function and uses the cross cut correlation to achieve morphology wavelet non-linear wavelet encoding and depresses the high frequency immediately noise; it dynamically evens the effect of high frequency noise signal and high frequency detail signal. It is applied in satellite image military target identifying, small target detecting and earth source remotely sensed image measuring.

Description

technical field [0001] The invention belongs to a high-efficiency algorithm for satellite remote sensing image super-resolution image reconstruction, and is mainly used in satellite image military target recognition, small target detection, remote sensing image measurement, and high-definition television (HDTV). Background technique [0002] In the process of satellite optical imaging, transmission, and acquisition of remote sensing images, due to the influence of atmospheric disturbance, defocus, and relative motion on the imaging system, the image will be degraded to varying degrees, typically blurring, distortion, and additive noise. Super-resolution reconstruction is an algorithm for reconstructing images with better image quality and higher spatial resolution from images with poorer quality and lower resolution. It is mainly used in satellite image military target recognition, small target detection and remote sensing image measurement. . In 2002, France successfully a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/48G01S17/89
Inventor 秦前清孙涛杨志高蒋志勇林立宇
Owner WUHAN UNIV
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