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A new tavi combination algorithm

A combined algorithm and remote sensing image technology, applied in the re-radiation of electromagnetic waves, the use of re-radiation, measurement devices, etc., can solve the problems that affect the wide-scale popularization and application of TAVI, the unstable calculation results of SVI, and the lack of uniform standards, so as to avoid adverse reactions. The effect of reduced performance accuracy, great promotion and application potential, and easy operation

Active Publication Date: 2018-08-17
FUZHOU UNIV
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Problems solved by technology

[0006] Due to the large number of CVI, there is no uniform standard for choosing a specific vegetation index in practical applications, which is easy to cause confusion
The numerator of the SVI algorithm is a variable, resulting in unstable SVI calculation results
The original combination of RVI and SVI has great uncertainty, which affects the large-scale promotion and application of TAVI

Method used

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Embodiment Construction

[0021] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0022] A new TAVI combination algorithm, the main flow chart can be found in figure 1 . Specifically include the following steps:

[0023] Step S1: Radiation correction. Firstly, perform radiation correction on the remote sensing image to obtain the apparent reflectance data of the remote sensing image.

[0024] Step S2: Calculate new SVI n (Such as figure 2 shown), the formula is as follows:

[0025]

[0026] Of which: SVI n is the new shaded vegetation index; B r is the apparent reflectance data in the red band of the remote sensing image.

[0027] Step S3: Construct a new TAVI combination algorithm, specifically as follows:

[0028]

[0029] Among them: TAVI n Adjust the vegetation index for the new terrain; f(Δ) is the terrain adjustment factor; B ir is the apparent reflectance data in the near-infrared band of the remote sensing im...

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Abstract

The invention relates to a new TAVI combination algorithm, and the algorithm is characterized in that the algorithm comprises the following steps: S1, carrying out the radiation correction: carrying out the radiation correction of a remote sensing image at first, and then obtaining the apparent reflectance data of the remote sensing image; S2, calculating a new SVIn; S3, building a new TAVI combination algorithm which is specifically shown in the description; S4, carrying out the optimization: calculating the new TAVI. The new TAVI combination algorithm consists of an RVI sub-model and an SVI sub-model. The RVI sub-model and the SVI sub-model can meet the requirement of a band ratio module, and the forms are concise and similar. Moreover, the denominators are the infrared band data of the remote sensing image, and have the stronger band ratio physical significance basis. The new TAVI combination algorithm provided by the invention guarantees that a terrain adjustment vegetation index can effectively eliminate impact on the vegetation information from the terrain. The new TAVI combination algorithm achieves an effect of terrain correction and atmospheric correction, and solves a problem that the inversion accuracy of surface vegetation information decreases because of the difference of the registration precisions of the remote sensing images and DEM data.

Description

technical field [0001] The invention relates to a new TAVI combination algorithm. Background technique [0002] The existing terrain-adjusted vegetation index (TAVI, formula 1, formula 2, national patent number 200910111688.X) combined algorithm is shown in formula 1, wherein CVI refers to the commonly used vegetation index, which includes a wide range; the SVI algorithm is shown in formula 2. [0003] TAVI=CVI+f(Δ) SVI (1) [0004] [0005] In the formula, CVI is the conventional vegetation index, such as normalized difference vegetation index (NDVI), ratio vegetation index (RVI), etc.; SVI is the shadow vegetation index, where Br represents the red-light band data of remote sensing images, and Mr represents the red-light band data The maximum value; f(Δ) is the terrain adjustment factor. [0006] Due to the large number of CVI, there is no uniform standard for choosing a specific vegetation index in practical applications, which is likely to cause confusion. The nume...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S17/89
CPCG01S17/89
Inventor 江洪汪小钦吴波
Owner FUZHOU UNIV
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