Method for detecting MTF of hyperspectral remote sensing system based on edge image

A technology of hyperspectral remote sensing and detection methods, which is applied in the field of imaging quality evaluation of hyperspectral remote sensing systems, and can solve the problems of low signal-to-noise ratio of hyperspectral remote sensing images, easily affected by noise during MTF detection, and difficult to select MTF detection area by knife edge method. , to reduce the sensitivity

Inactive Publication Date: 2011-02-23
BEIHANG UNIV
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Problems solved by technology

[0008] The technical problem solved by the present invention is: for the hyperspectral remote sensing system has many bands, the knife-edge method MTF detection area is difficult to select, the signal-to-no

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  • Method for detecting MTF of hyperspectral remote sensing system based on edge image
  • Method for detecting MTF of hyperspectral remote sensing system based on edge image
  • Method for detecting MTF of hyperspectral remote sensing system based on edge image

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Embodiment Construction

[0040] Such as figure 1 Shown, the concrete implementation method of the present invention is as follows:

[0041] 1. Read hyperspectral images;

[0042] 2. Select the horizontal edge area and vertical edge area for MTF detection from the image read in step 1. It is required that the selected area has adjacent uniform block-shaped objects, there is a certain contrast in brightness, and the boundary is a certain length straight line;

[0043] 3. Calculate the signal-to-noise ratio of each band of the image read in step 1. The calculation method is as follows:

[0044] Select a relatively flat area in the entire image, divide the image of each band in the area into 4×4, 5×5… sub-blocks, and calculate the mean and standard deviation of each block respectively:

[0045] m i = Σ j x ij / N , S i = ...

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Abstract

The invention relates to a method for detecting a modulation transfer function (MTF) of a hyperspectral remote sensing system based on an edge image. The method takes the influence of an image noise into consideration and comprises the following steps of: selecting edge areas in the horizontal direction and the vertical direction by calculating the modulation degrees of the edges of each wave band of a hyperspectral remote sensing image; performing differential operation on the edge areas to obtain linear spread functions; performing Gaussian function least squares fitting on the linear spread functions to obtain standard deviations; figuring the linear spread functions in the vertical direction and the horizontal direction out by using a median of the standard deviations of the linear spread functions in the vertical direction and the horizontal direction; performing discrete Fourier transform to obtain MTF curves in the two directions; and establishing a two-dimensional MTF matrix of the system by multiplying. The method can select suitable edge areas in the situation of a plurality of wave bands of the hyperspectral remote sensing image, and realize the extraction of the MTF ofthe system when the signal-to-noise ratio of the image is not high.

Description

technical field [0001] The invention relates to an MTF detection method of a hyperspectral remote sensing system based on an edge image, belongs to the field of imaging quality evaluation of a hyperspectral remote sensing system, and is particularly suitable for MTF detection of a hyperspectral remote sensing system. Background technique [0002] Modulation Transfer Function (MTF, Modulation Transfer Function) is an important factor to evaluate the image quality of remote sensing system. In the laboratory test stage, using special instruments to measure its MTF is the method with the highest accuracy and the best reliability at present. However, this method cannot compute the MTF of a running remote sensor. For remote sensors in operation, based on the research situation at home and abroad, it is more common to obtain MTF from remote sensing image information, that is, to use artificially arranged ground targets or select natural ground markers to image information on remot...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 赵慧洁秦宝龙贾国瑞李娜
Owner BEIHANG UNIV
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