Manifold learning-based method for monitoring water quality by remote sensing

A technology of water quality monitoring and manifold learning, applied in the direction of color/spectral characteristic measurement, instrument, scene recognition, etc., can solve the problems of reducing the reliability of water quality evaluation results, not revealing the essential laws of multispectral remote sensing image data, etc.

Inactive Publication Date: 2011-07-20
CHONGQING UNIV
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Problems solved by technology

This means that the traditional water quality evaluation model cannot effectively discover the essential laws in the multispectral data, and does not

Method used

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  • Manifold learning-based method for monitoring water quality by remote sensing
  • Manifold learning-based method for monitoring water quality by remote sensing
  • Manifold learning-based method for monitoring water quality by remote sensing

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Embodiment 1

[0085] refer to figure 1 , a remote sensing water quality monitoring method based on manifold learning, including the following steps:

[0086] (1) Read the remote sensing image data into the computer, and extract the rectangular range containing the water body;

[0087] (2) Use the mask matrix to mask each band of the remote sensing image, and remove the background information from the image to generate remote sensing data that only includes the entire water body;

[0088] (3) Obtain the water quality remote sensing data of each monitoring point and the corresponding field monitoring data of water quality parameters, select the water quality remote sensing data of some monitoring points as samples, and calculate the Euclidean distance between the sample points;

[0089] (4) According to the distance of the Euclidean distance between the sample points, the neighbor weight matrix and the non-neighbor weight matrix are constructed;

[0090] (5) Utilize the neighbor weight matr...

Embodiment 2

[0137] The method of the invention is used to monitor the water quality of the water quality remote sensing image data of the Shaanxi section of the Weihe River in 2006. In 2006, the water quality remote sensing images of the Shaanxi section of the Weihe River had 4 bands, with a total of 3451×3654 data. The [1260:2100, 400:2300] range was selected to include all monitoring points, including Gengzhen and Chengyang, with a total of 841×1901 data, including 60,944 water body data. At the same time, a total of 13 sets of water quality remote sensing data and corresponding field monitoring data were obtained from some monitoring points in the Shaanxi section of the Weihe River from 2000 to 2006. The data are distributed in 9 monitoring sections in the Shaanxi section of the Weihe River. The water quality parameter indicators include the permanganate index of each monitoring point (COD mn ), etc. Since the pollution in the Shaanxi section of the Weihe River is mainly organic matte...

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Abstract

The invention discloses a manifold learning-based method for monitoring water quality by remote sensing, and particularly relates to a manifold learning-based method for monitoring water quality by multispectral remote sensing, which comprises the following steps of: training a sample point by a manifold learning method to obtain a projection matrix of water quality remote sensing data in low-dimensional embedded space; building a nonlinear model by using a support vector regression algorithm according to a feature matrix of the low-dimensional embedded space of the sample point and corresponding water quality parameter site monitoring data; and inverting an integral water body by utilizing the nonlinear model to obtain a concentration value of a water quality parameter of the integral water quality, and providing different colors for the water body according to different intervals in which the water body is positioned to display the concentration condition of the water quality parameter of the integral water body visually, so that the water quality evaluation and monitoring of the water body are realized. In the method, the essential law hidden in multispectral remote sensing image data is disclosed effectively, and the nonlinear problem of the water quality evaluation is solved.

Description

technical field [0001] The invention relates to the technical field of water quality monitoring methods and applications, in particular to a multispectral remote sensing water quality monitoring method based on manifold learning. Background technique [0002] Judging from the current situation of water resources in various provinces and cities in my country, problems such as the lack of total water resources and the deterioration of water quality are common. It is an inland water body, and its water quality directly affects national production and people's daily life, so it is imminent to solve the water quality problem. Therefore, it is necessary to strengthen the monitoring of water body water quality, understand and grasp the degree of influence and development trend of water body pollution, and strengthen water body pollution control. Water quality monitoring data is the basis for water quality evaluation. Traditional water quality monitoring is to collect water samples ...

Claims

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Application Information

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IPC IPC(8): G01N21/25G01N21/27G06N99/00G06V20/13
CPCG06K9/0063G06V20/13
Inventor 黄鸿冯海亮王立志秦高峰何同弟
Owner CHONGQING UNIV
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