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Simulation method for remote sensing data under arbitrary spectral response characteristic

A technology of spectral response and remote sensing data, applied in radio wave measurement systems, instruments, etc., can solve the problems of low accuracy and does not consider the weighted average effect of hyperspectral data sources, etc., achieve high accuracy and improve the accuracy of cross-radiation calibration Compared with the data to verify the accuracy and reduce the effect of spectral averaging effect

Inactive Publication Date: 2012-10-03
BEIHANG UNIV
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Problems solved by technology

These two types of methods are generally used to simulate hyperspectral data and multispectral data from hyperspectral data respectively; and they do not consider the weighted average effect corresponding to the spectral resolution of the hyperspectral data source itself, causing the accuracy of the simulated data to be affected by the hyperspectral data. The spectral resolution of the source is restricted, and the accuracy is not high when the spectral resolution of the data to be simulated is similar to that of the hyperspectral data source

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  • Simulation method for remote sensing data under arbitrary spectral response characteristic
  • Simulation method for remote sensing data under arbitrary spectral response characteristic
  • Simulation method for remote sensing data under arbitrary spectral response characteristic

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Embodiment Construction

[0027] The specific embodiment of the present invention is as figure 1 and figure 2 shown. Taking the radiance spectrum of the American spaceborne hyperspectral remote sensor Hyperion to simulate the radiance spectrum of the American spaceborne multispectral remote sensor Advanced Land Imager (ALI) as an example, the specific steps are as follows:

[0028] 1. Input hyperspectral data

[0029] Input the radiance spectrum L(λ) extracted from the Hyperion L1 data i ), i=1,..., M as the data source, where M is the number of bands of Hyperion.

[0030] 2. Iterative decorrelation

[0031] (a) Current hyperspectral data L 1 (λ i ), i=1,..., M is taken as the Hyperion radiance spectrum L(λ i ), i=1,...,M;

[0032] (b) Using the cubic spline interpolation method, for L 1 (λ i ), i=1,..., M carry out encrypted sampling to obtain hyperspectral data L with a sampling interval of 1nm 2 (λ);

[0033] (c) According to Hyperion's spectral response characteristic R i (λ), i=1,......

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Abstract

The invention discloses a simulation method for remote sensing data under arbitrary spectral response characteristic, and belongs to the technical field of earth observation. In the method, the input hyperspectral data is subjected to iteration decorrelation, and hyperspectral data with improved spectral resolution is acquired; and the hyperspectral data with the improved spectral resolution is sampled according to the spectral response characteristic to be simulated, and hyperspectral or multispectral data under the spectral response characteristic to be simulated is acquired. The simulationmethod can be used for simulating the hyperspectral or multispectral data with arbitrary central wavelength position, arbitrary spectral resolution or arbitrary shape spectral response function by the existing hyperspectral data, and has higher accuracy of simulating data than the conventional spectral interpolation method and wave-band synthesis method so as to contribute to improving radiometric cross-calibration accuracy and data comparison and verification accuracy of a hyperspectral remote sensor.

Description

technical field [0001] The invention relates to a simulation method of remote sensing data under arbitrary spectral response characteristics, belongs to the technical field of earth observation, and is a remote sensing data processing technology. Background technique [0002] The spectral response characteristics of the remote sensor are described by the set of spectral response functions of all bands. The central wavelength and spectral resolution of the bands commonly used in remote sensing are the peak wavelength and full width at half maximum of the spectral response functions of the bands, respectively. All optical remote sensing data are the result of weighted average sampling of continuous spectral signals in the real world by the remote sensor with its spectral response function. Because different remote sensors have different spectral response characteristics, even if the same area is observed at the same time and position, the data obtained by them are different du...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/48
Inventor 贾国瑞赵慧洁李娜
Owner BEIHANG UNIV
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