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Hyperspectral-imager index optimization method based on remote-sensing application

A technology for hyperspectral imaging and index optimization, which is applied in the field of hyperspectral remote sensing application and optimization design, can solve the problems of remote sensors that do not involve the application ability of hyperspectral data, etc., and is conducive to close integration, accurate application ability and estimated application efficiency Effect

Active Publication Date: 2014-05-07
BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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Problems solved by technology

These studies are mainly aimed at the general evaluation of image quality, and do not involve hyperspectral data application capabilities and remote sensor index design

Method used

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  • Hyperspectral-imager index optimization method based on remote-sensing application
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  • Hyperspectral-imager index optimization method based on remote-sensing application

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Embodiment Construction

[0030] Such as figure 1 As shown, the present invention provides a hyperspectral imager index optimization method based on remote sensing applications, and the specific implementation of the present invention is as follows:

[0031] (1) Determine the application purpose of hyperspectral data, and preset hyperspectral load performance index parameters and design index parameters according to the application purpose of hyperspectral data and load design index requirements. The application purpose of hyperspectral data includes target detection and object classification;

[0032] Hyperspectral payload performance index parameters include: ground resolution, spectral resolution, signal-to-noise ratio / signal-to-clutter ratio, spatial modulation transfer function, and spectral modulation transfer function;

[0033]Hyperspectral load design index parameters include optical system design index parameters, detector design index parameters and imaging circuit design index parameters; op...

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Abstract

Disclosed is a hyperspectral-imager index optimization method based on remote-sensing application. Firstly, a hyperspectral data application objective is determined and according to the application objective and load design index requirements, hyperspectral load performance index parameters and design index parameters are preset; then an atmospheric radiation transmission model is used to perform hyperspectral signal simulation before pupil entrance of a remote sensing load; then according to a push-broom hyperspectral imaging principle, a hyperspectral imaging simulation model is established so that imaging simulation of the hyperspectral load at a space dimension and a spectral dimension is realized and hyperspectral imaging data and hyperspectral load performance index parameter values are obtained and a hyperspectral data processing method is used to obtain an application result and the relation between an application effect index and a load performance index is established; and at last, an optimization index is determined through a least square method. The hyperspectral-imager index optimization method based on the remote-sensing application introduces a remote-sensing application index into a load index optimization design and considers hyperspectral load index optimization from an application angle so that a reliable and effective means is provided to hyperspectral load design and hyperspectral data application performance evaluation.

Description

technical field [0001] The invention relates to an index optimization method of a hyperspectral imager based on remote sensing application, belongs to the technical field of hyperspectral remote sensing application and optimization design, and can be used for hyperspectral load index optimization design, hyperspectral remote sensing data quality evaluation, and application performance evaluation. Background technique [0002] With the extensive development of optical satellite remote sensing applications, the quality of remote sensing data directly affects its application capabilities. At the same time, it is also an important symbol for evaluating the imaging performance of remote sensors. Therefore, the quality evaluation of remote sensing data is an important link between remote sensor design and remote sensing data applications. bridge. With the urgent need for high-precision quantitative remote sensing applications, the quality of optical remote sensing data is becoming...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J3/28
Inventor 鲍云飞何红艳王殿中刘爽周楠岳春宇刘薇李岩李方琦
Owner BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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