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Method for evaluating remote sensing inversion accuracy of chlorophyll a in water body

A technology of remote sensing inversion and accuracy evaluation, which is applied in the direction of color/spectral characteristic measurement, etc. It can solve the problems of comprehensive accuracy information, inaccurate accuracy information in local areas, etc., and achieve detailed accuracy information, improve utilization rate, and practicability strong effect

Inactive Publication Date: 2010-10-06
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

The traditional inversion accuracy evaluation method, which uses regression coefficient or root mean square error as the inversion accuracy description index, has the disadvantages of too comprehensive and not detailed accuracy information, and inaccurate local area accuracy information.

Method used

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  • Method for evaluating remote sensing inversion accuracy of chlorophyll a in water body
  • Method for evaluating remote sensing inversion accuracy of chlorophyll a in water body

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Embodiment Construction

[0022] In order to better illustrate a method for evaluating the accuracy of water chlorophyll a remote sensing inversion involved in the present invention, the model establishment and verification data set of the present invention are Hyperion hyperspectral image data at 10:00 am on August 19, 2004 and satellite Transit synchronized water quality concentration data. The present invention is a method for evaluating the accuracy of remote sensing inversion of chlorophyll a in water body, and the specific implementation steps are as follows:

[0023] (1) Reading in experimental data and image data: read in the Hyperion hyperspectral image data, chlorophyll a concentration and other data of Taihu Lake on August 19, 2004;

[0024] (2) Establish a four-band semi-analytical model for chlorophyll a remote sensing inversion. based on an exponential regression model, and choose λ 1 =671.02nm, λ 2 =701.55nm, λ 3 =711.72nm and λ 4 =742.25nm, as the inversion band of the four-band se...

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Abstract

The invention relates to a method for evaluating the remote sensing inversion accuracy of chlorophyll a in a water body, which comprises the following steps of: (1) reading in chlorophyll a concentration data, water surface spectral data and a hyperspectral remote sensing image; (2) searching a regression model of the optimal parameter and chlorophyll a concentration; (3) calculating the difference between a model predicted value and a measured value by taking measured concentration as a true concentration value of a pixel, and taking the difference as an inversion error of a four-band remote sensing inversion model; (4) constructing two band models near a concentration node section based on the uncertainty principle by taking the calculated result in the step (3) as the inversion error; and (5) calculating the relative error and absolute error of the chlorophyll a concentration inversion result by using the band models.

Description

technical field [0001] The invention relates to a method for realizing the accuracy evaluation of water body chlorophyll a remote sensing inversion, belongs to the technical field of ocean water color remote sensing and inland water environment remote sensing, and is suitable for theoretical method and application technology research of quantitative remote sensing. Background technique [0002] At present, the inland and offshore waters are seriously polluted and face the threat of eutrophication. The use of remote sensing technology can monitor water quality status and changing trends in a timely, rapid and large-scale synchronously, which is of great significance for water resources management and water environmental protection. [0003] The problem of accuracy evaluation and accuracy expression of water color remote sensing products is the hot and difficult point of current water color remote sensing research. In the process of traditional water color remote sensing theo...

Claims

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Application Information

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IPC IPC(8): G01N21/25
Inventor 周冠华陈军温珍河
Owner BEIHANG UNIV
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