Remote sensing image fusion method, system and device based on fusion derivative index and medium

A remote sensing image and fusion method technology, which is 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: 2021-08-10
PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
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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 o

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  • Remote sensing image fusion method, system and device based on fusion derivative index and medium
  • Remote sensing image fusion method, system and device based on fusion derivative index and medium
  • Remote sensing image fusion method, system and device based on fusion derivative index and medium

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Embodiment 1

[0145] The color reconstruction effect evaluation technology includes visual evaluation and quantitative evaluation, the specific description is as follows:

[0146] 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

[0236] Steps S101 and S102 in this embodiment are the same as in Embodiment 1, except for steps S103 and S104.

[0237] Such as Figure 13 As shown, in this embodiment, step S103 specifically includes:

[0238] 1) According to the ratio index derived from fusion, its maximum value and average value are obtained statistically.

[0239] 2) Calculate the normalized index, the maximum value of the normalized index, and the normalized index value corresponding to the average value of the ratio index according to the fusion-derived ratio index and its maximum value and average value.

[0240] For a specific satellite remote sensing image, the fusion-derived 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 the power function of the normalized index according to the ratio index, it is necessary to ensure that the base of the power function...

Embodiment 3

[0291] Steps S101 and S102 in this embodiment are the same as in Embodiment 1, except for steps S103 and S104.

[0292] Such as Figure 21As shown, in this embodiment, step S103 specifically includes:

[0293] 1) According to the ratio index derived from the fusion, its maximum value is obtained statistically.

[0294] For a specific satellite remote sensing image, the fusion-derived 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:

[0295]

[0296] Among them, 0≤1. Its minimum value is maximum f max =2. In the [0,+∞) interval, the first derivative is greater than or equal to 0, and the second derivative is less than or equal to 0, so 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...

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Abstract

The invention discloses a remote sensing image fusion method and system based on a fusion derivative index, computer equipment and a storage medium. The method comprises the following steps: acquiring a satellite remote sensing image with a near-infrared band, a red band, a green band and a blue band; performing inter-spectrum fusion on the near-infrared band and one or more of the red band, the green band and the blue band to obtain a fused result; calculating a ratio index of fusion derivation by taking the wave band result after fusion as a numerator and the corresponding wave band before fusion as a denominator; reconstructing a red wave band and a green wave band according to the ratio index of fusion derivation; and according to the reconstructed red wave band, the reconstructed green wave band and the original blue wave band, synthesizing the final color image. According to the method, the visual resolution and computer resolution of the true color remote sensing image can be improved, so that the application potential of the historical remote sensing data true color image mode is mined, and the application effect of the current situation and the future remote sensing data true color image mode is improved.

Description

technical field [0001] The invention relates to a fusion derivative index-based remote sensing image fusion method, system, computer equipment and storage medium, belonging to the field of satellite remote sensing image fusion. Background technique [0002] Visible light multi-spectral satellite remote sensing data generally selects three bands to form color images according to the red, green, and blue channels. The more abundant the remote sensing image bands, the more color combinations. It is generally divided into standard false color, true color, false color, and 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 with the red, green, and blue channels of the image display to synthesize a color image. Its distinctive feature is that the vegetation in the image is red; The red, green, and blue bands of remote sensing images correspond one-to-one to th...

Claims

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Application Information

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IPC IPC(8): G06T7/90G06K9/62
CPCG06T7/90G06T2207/10041G06F18/2135G06F18/25
Inventor 余顺超邹华志曾碧球黄燕何颖清邹显勇冯佑斌叶荣辉黄春华翁中华苏波
Owner PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
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