Band noise removal method for medium resolution imaging spectrometer based on variational method

An imaging spectrometer and stripe noise technology, which is applied in the field of remote sensing image processing, can solve the problems of ineffective denoising, enhanced random noise, blurred important details of remote sensing images, etc. Effect

Active Publication Date: 2011-12-14
中国人民解放军理工大学气象学院
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However, this method may enhance random noise while removing bands between detectors, making subsequent deno

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  • Band noise removal method for medium resolution imaging spectrometer based on variational method
  • Band noise removal method for medium resolution imaging spectrometer based on variational method
  • Band noise removal method for medium resolution imaging spectrometer based on variational method

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[0017] A method for removing band noise of a medium resolution imaging spectrometer based on a variational method of the present invention includes the following steps:

[0018] Step 1. Separate the MODIS data according to the resolution; when the MODIS data is separated according to the resolution, since the 250m resolution data of MODIS is 40 yuan for scanning, the 500m resolution data is 20 yuan for scanning, and the resolution is 1km. The data is 10 yuan for parallel scanning, and considering mirror scanning, the 250m resolution data is regarded as 2 groups of 40 detectors with a total of 80 detectors, and the 500m resolution data is regarded as 2 groups of 20 detectors with a total of 40 detectors. The 1km resolution data is regarded as 2 groups of 10 detectors, a total of 20 detectors; the first row in the set data is generated by the No. 1 detector, the second row is generated by the No. 2 detector, and so on to get the corresponding number Detector subimages, numbered ...

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Abstract

The invention discloses a variational method-based method for reducing stripe noise of a moderate-resolution imaging spectroradiometer (MODIS). The method comprises the following steps that: data separation is carried out on MODIS data according to a resolution; obtained detector subimages are divided into two categories: subimages not containing stripe noises or containing unobvious stripe noises belong to one category and subimages containing obvious stripe noises belong to the other category; stripe noise removal is carried out on the subimages containing obvious stripe noises by utilizinga variational method; and at last, combination is carried out on all the detector subimages that have been processed by the stripe noise removal and the subimages that do not contain the stripe noises according to a number sequence so as to obtain images after stripe noise removal. According to the invention, it can be realized that noises of stripes between detectors and a random noise stripe ofan MODIS can be removed simultaneously, so that a condition that one stripe noise is enhanced when the other kind of stripe noise is removed can be avoided; moreover, a stripe noise influence is effectively solved and simultaneously, physical characteristics of original data are reserved to the greatest extent.

Description

technical field [0001] The invention belongs to the field of remote sensing image processing, in particular to a method for removing band noise of a medium-resolution imaging spectrometer based on a variational method. Background technique [0002] The Moderate Resolution Imaging Spectroradiometer (MODIS) is an advanced space-based Earth observation sensor. The sensor has 36 bands and adopts multi-element simultaneous scanning, among which the resolution of 250m is 40 yuan, the resolution of 500m is 20 yuan, and the resolution of 1km is 10 yuan. While multi-parallel scanning technology improves data acquisition and scanning efficiency, it is difficult to achieve a completely consistent response level among multiple detectors, coupled with the complex electromagnetic environment of space and the error of the device itself, resulting in the generation of stripe noise. The existence of band noise not only seriously affects the effect of spectral feature enhancement and spatial...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 马宁白衡严卫周则明
Owner 中国人民解放军理工大学气象学院
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