Tree species classification method, device and equipment based on SAR and optical remote sensing time sequence data

A technology of optical remote sensing and time-series data, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of small differences in vegetation phenology and tree species, and the inability to use optical remote sensing data, etc., to achieve robustness and universality good sex effect

Active Publication Date: 2019-03-15
XIAMEN UNIV OF TECH
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  • Claims
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Problems solved by technology

It can overcome the defect that optical remote sensing data cannot be used in cloudy and rainy areas in the south, and at the same time solve the pro...

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  • Tree species classification method, device and equipment based on SAR and optical remote sensing time sequence data
  • Tree species classification method, device and equipment based on SAR and optical remote sensing time sequence data
  • Tree species classification method, device and equipment based on SAR and optical remote sensing time sequence data

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no. 1 example

[0045] see figure 1 , the first embodiment of the present invention provides a tree species classification method based on SAR and optical remote sensing time series data, including:

[0046] S10, pre-select some forest shifts in the research area as the training area, and the remaining forest shifts as the verification area data.

[0047] S20. After preprocessing the optical remote sensing image data and the SAR image data, collect the optical remote sensing image time series data and the SAR image time series data of the training area, and extract the features of the SAR image and the optical remote sensing image respectively, so as to obtain time series change features.

[0048] In this embodiment, multi-temporal optical remote sensing image HJ-1A / B CCD data is collected, radiometric calibration, atmospheric correction, and geometric correction resampling are performed, and the gray value of the original pixel is converted into the reflection value of the surface pixel. Th...

no. 2 example

[0079] see figure 2 , the second embodiment of the present invention provides a tree species decision tree classification device based on SAR and optical remote sensing, including:

[0080] The acquisition module 10 is used to pre-select some forest shifts in the research area as training data, and the remaining forest shifts as verification data, and collect optical remote sensing image data and SAR image data according to the training data;

[0081] The feature extraction module 20 is used to perform feature extraction on the SAR image and the optical remote sensing image respectively after preprocessing the optical remote sensing image data and the SAR image data, so as to obtain time-series variation features;

[0082] Clustering analysis module 30, for carrying out clustering analysis to described time-series change feature, establishes tree species classification system;

[0083] The construction module 40 is used for constructing the decision rules of single-category ...

no. 3 example

[0115] The third embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processing, when the processor executes the computer program, the above implementation The method of tree species decision tree classification based on SAR and optical remote sensing is described as an example.

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Abstract

The invention discloses a tree species classification method, device and equipment based on SAR (Synthetic Aperture Radar) and optical remote sensing time sequence data, and the method comprises the steps: selecting a part of forest classes in a research region as a training region in advance, taking the rest forest classes as verification data, and collecting the optical remote sensing image timesequence data and the SAR image time sequence data according to the training data; And preprocessing the optical remote sensing image data and the SAR image data, and performing feature extraction respectively to obtain forest shift time sequence change features. And performing clustering analysis on the time sequence change characteristics, and establishing a tree species classification system.And according to the multi-feature decision tree model and the tree classification system, constructing a decision rule of a single classification time sequence feature index or a multi-classificationfeature index, and according to the decision rule, carrying out step-by-step classification on the tree species in the predetermined area to obtain a tree species decision tree classification model.Verifying the result of the tree species decision tree classification model according to the verification data, evaluating the precision, and adjusting the decision tree threshold value according to the precision evaluation result to update the tree species decision tree classification model. And extracting a tree species distribution map according to the updated tree species decision tree classification model.

Description

technical field [0001] The invention relates to the technical field of image intelligent processing, in particular to a tree species classification method, device, equipment and storage medium based on SAR and optical remote sensing time series data. Background technique [0002] Urban trees are an important part of urban ecosystems. Quantitatively evaluating the ecological service functions of urban trees, analyzing the interaction between human activities and urban tree growth, and improving the ecological benefits of trees have become the focus of research in the field of urban ecology in recent years. The types of urban vegetation are different, the biomass is different, and their ecological functions and greening effects are also different. Classification and mapping of urban forest tree species are the prerequisites for realizing the evaluation of urban forest ecological service functions, and are of great significance for further improving the urban ecological environ...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/24323G06F18/214
Inventor 李晖韦钦桦李万凯满旺吴学文花利忠
Owner XIAMEN UNIV OF TECH
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