Remote sensing image fusion method, system, equipment and medium based on characteristic ratio index

A feature ratio and fusion method technology, applied in the field of satellite remote sensing image fusion, can solve the problems of weak layering, low efficiency, and spectral response distortion of image ground objects in true color combined images, so as to improve the visual resolution of true color remote sensing images. Force and computer analytical power, clear physical meaning, and the effect of expanding application space

Active Publication Date: 2022-03-08
PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
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  • Claims
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Problems solved by technology

[0004] Although satellite remote sensing true-color images are widely used, the fly in the ointment is that this image application mode also has certain flaws: because the true-color satellite image data has a strong correlation between bands, and the blue band is affected by atmospheric interference such as water vapor, the images of ground objects Spectral response produces inherent defects such as distortion, resulting in a lack of layering, low brightness and clarity in the true color combined image, especially the vegetation and other ground objects are dim, showing a blue-gray tone, and it is almost impossible to see the mixed pixels with vegetation. Visual identification of vegetation features leads to external shortcomings such as unnatural natural color and unreal true color, which affects the application effect of true color mode mapping and classification
[0005] Direct use of general enhancement techniques such as traditional histogram adjustment can overcome its external shortcomings to a certain extent, but it is difficult and inefficient; and cannot overcome its inherent defects

Method used

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  • Remote sensing image fusion method, system, equipment and medium based on characteristic ratio index
  • Remote sensing image fusion method, system, equipment and medium based on characteristic ratio index
  • Remote sensing image fusion method, system, equipment and medium based on characteristic ratio index

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Effect test

Embodiment 1

[0112] The color reconstruction effect evaluation technology includes visual evaluation and quantitative evaluation, the specific description is as follows:

[0113] 1) Visual evaluation: As we all know, although the original remote sensing true-color image has the same color as the ground features on the water body and bare land, but the color is dim and the layers are unclear in the vegetation area. Generally, true-color images need to obtain true-color images in which the above-mentioned ground features are consistent with the ground color by enhancing the vegetation. That is to say, the vegetation is based on green, and vegetation of different types and coverages presents various shades and shades of green; the water body is based on blue, except for components such as vegetation coverage on the water surface, high concentration of sand, and high pollution. In addition to different green, yellow, black, etc., the main body is various shades of blue; other exposed land such...

Embodiment 2

[0185] Steps S101 and S102 in this embodiment are the same as in Embodiment 1, except for steps S103 and S104.

[0186] Such as Figure 13 As shown, in this embodiment, step S103 specifically includes:

[0187] 1) According to the characteristic ratio index, its maximum value and average value are obtained statistically.

[0188] 2) According to the characteristic ratio index and its maximum value and average value, calculate the normalized index, the normalized index value corresponding to the maximum value of the normalized index and the average value of the ratio index.

[0189] For a specific satellite remote sensing image, the characteristic ratio index FI has a corresponding statistical maximum value and a statistical minimum value, respectively denoted as: FI min ,FI max . The corresponding normalized index When constructing a power function modeled on the characteristic ratio index When constructing the power function of the normalized index, it is necessary ...

Embodiment 3

[0243] Steps S101 and S102 in this embodiment are the same as in Embodiment 1, except for steps S103 and S104.

[0244] Such as Figure 21 As shown, in this embodiment, step S103 specifically includes:

[0245] 1) According to the characteristic ratio index, the maximum value is obtained statistically.

[0246] For a specific satellite remote sensing image, the characteristic ratio index FI has a corresponding statistical maximum value and a statistical minimum value, respectively denoted as: FI min ,FI max , then the expression of the color reconstruction function f(FI) is as follows:

[0247]

[0248] Wherein, 0 maximum f max =2. In the [0,+∞) interval, its first-order derivative is greater than or equal to 0, and its second-order derivative is less than or equal to 0. Therefore, no matter what value n takes on the domain, the color reconstruction function is a monotonically increasing convex curve. Such a function has the same monotonicity as the ratio index, and a...

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Abstract

The invention discloses a remote sensing image fusion method, system, computer equipment and storage medium based on a feature ratio index. The method includes: acquiring satellite remote sensing images with near-infrared, red, green and blue bands; The band is used as the numerator, and one of the red band, the green band and the blue band is used as the denominator, and the characteristic ratio index is calculated; according to the characteristic ratio index, the red band and the green band are reconstructed; according to the reconstructed red band , the reconstructed green band and the original blue band are synthesized to obtain the final color image. The invention can improve the visual resolution and computer resolution of the true-color remote sensing image, tap the application potential of the true-color image mode of historical remote-sensing data, and improve the application effect of the current and future remote-sensing data true-color image mode.

Description

technical field [0001] The invention relates to a remote sensing image fusion method, system, computer equipment and storage medium based on a feature ratio index, and belongs to the field of satellite remote sensing image fusion. Background technique [0002] Visible light multispectral satellite remote sensing data generally selects three bands to form color images according to the combination of red, green, and blue channels. The more abundant the remote sensing image bands, the more color combinations, generally divided into standard false color, true color, false color, false true color and other color image synthesis modes. The standard false color mode combines the near-infrared band, red band, and green band of the remote sensing image to correspond to the red, green, and blue channels of the image display, and synthesizes a color image. The salient feature is that the vegetation in the image is red; The red, green, and blue bands of the remote sensing image are mat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06V10/44G06V10/764
CPCG06V10/44G06V10/56G06F18/241G06F18/253
Inventor 余顺超邹显勇何颖清叶荣辉冯佑斌邹华志苏波黄燕曾碧球翁忠华黄春华
Owner PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
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