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Remote sensing measurement method for level of crops pollution stress

A measurement method and crop technology, applied in the field of agricultural science, which can solve the problem of inability to obtain results, etc.

Inactive Publication Date: 2010-06-09
CHINA UNIV OF GEOSCIENCES (BEIJING)
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Problems solved by technology

Therefore, for this complex nonlinear relationship, conventional and traditional analysis methods cannot obtain ideal results.

Method used

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  • Remote sensing measurement method for level of crops pollution stress
  • Remote sensing measurement method for level of crops pollution stress
  • Remote sensing measurement method for level of crops pollution stress

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Embodiment Construction

[0075] The present invention will be further described below through a specific embodiment in conjunction with the accompanying drawings.

[0076] This method divides the actually collected sample data into two groups of training data and test data. First, the training data is used to continuously adjust the neural network structure independently, and finally a stable optimized structure is formed, and then the test data is used to evaluate the generalization ability and Accuracy, after confirming that the structural model meets the requirements, it is applied to the analysis and processing of practical problems.

[0077] The sample data used in this embodiment were collected by the inventor in Beijing Changping, Jiangsu Dongqiao, Changchun Xixin Town and other places in the summer of 2008. The canopy spectrum and corresponding physiological and biochemical parameters were measured for rice, and corresponding crop samples and soil samples were collected. Among them, the canop...

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Abstract

The invention discloses a remote sensing measurement method for level of crops pollution stress, which belongs to the technical field of agricultural science. The method comprises: a) selecting a set amount of polluted-crops sample data, wherein each group of sample data comprises a set amount of input parameters and a set amount of output parameters comprising remote sensing parameters; b) obtaining a neural network structure comprising more than one fuzzy rule through fuzzy neural network analysis, judging whether to modify a current neural network structure at the same time according to set standards each time one group of sample data is input and modifying if so; and c) obtaining a corresponding output value through the input parameters of crops according to a final neural network structure and determining the level of pollution stress in a set association way according to the output value. The method can be used for the remote sensing measurement of the level of crops pollution stress, in particular the remote sensing monitoring of the level of heavy metal pollution stress.

Description

technical field [0001] The invention relates to crop pollution remote sensing detection, in particular to a remote sensing measurement method for crop pollution stress level, belonging to the field of agricultural science and technology. Background technique [0002] As a new detection method, remote sensing can conveniently, quickly and dynamically obtain spatially continuous ground object spectral information. At present, many scholars at home and abroad have devoted themselves to the study of the plant spectral effects of pollutants. By establishing the correlation between pollutants and plant spectra, the changes in plant spectral characteristics are used to monitor the status of vegetation pollution. [0003] In terms of multi-band remote sensing, as early as the early 1980s, there have been reports on the application of plant spectral effects to air pollution monitoring: through the study of leaf clusters in long-term air-polluted areas, Horler et al. (Horler D H N, Do...

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Application Information

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IPC IPC(8): G01S17/89G01N21/00G06N3/02
Inventor 刘湘南王群江南吴伶刘美玲梁惠平
Owner CHINA UNIV OF GEOSCIENCES (BEIJING)
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