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Mangrove extraction method based on hierarchical decision tree

An extraction method, mangrove technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problem of less consideration of wetland characteristics, and achieve the effect of accurate and rapid extraction

Inactive Publication Date: 2015-04-29
RES INST OF FOREST RESOURCE INFORMATION TECHN CHINESE ACADEMY OF FORESTRY
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  • Application Information

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Problems solved by technology

[0002] Because wetlands have their unique characteristics, such as the dual spectral characteristics of water and soil, and their own texture features, the commonly used maximum likelihood supervised classification methods, unsupervised classification and supervised classification methods, etc., seldom take wetland itself into consideration. Characteristics

Method used

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  • Mangrove extraction method based on hierarchical decision tree
  • Mangrove extraction method based on hierarchical decision tree

Examples

Experimental program
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Effect test

Embodiment 1

[0014] Example 1: Such as figure 1 , figure 2 As shown, a mangrove extraction method based on a hierarchical decision tree includes the following steps:

[0015] Perform KT transformation on remote sensing images, extract humidity components, refer to auxiliary data based on humidity components, such as field GPS sampling points, Google images, etc., select appropriate thresholds to extract wetlands; analyze the geographic distribution characteristics of mangrove wetlands, and filter by area criteria Excluding non-mangrove areas; further use the vegetation index method to select appropriate thresholds to extract mangroves based on the spectral characteristics of the mangroves. In the process of mangrove extraction, the key is to select an appropriate threshold and establish a decision tree model to extract mangrove wetlands. Test the accuracy of the classification results from different angles, and adjust the threshold to re-classify if problems are found, until a satisfactory ...

Embodiment 2

[0041] Example 2: Such as figure 1 As shown, the implementation case of this method mainly includes the following steps:

[0042] 1. Data acquisition steps;

[0043] Download Landsat TM / ETM image data through the USGS website and the Earth Observation Data Sharing website of the Chinese Academy of Sciences.

[0044] Obtain GPS sample data of typical mangrove distribution areas through field surveys.

[0045] 2. Remote sensing image preprocessing steps;

[0046] With 1:100,000 digital topographic map, combined with field high-precision GPS control point data, geometric correction is performed on the acquired remote sensing image, and the correction error is controlled within one pixel.

[0047] For ETM image data, the principal component method is used to image fusion of panchromatic band data and multispectral data.

[0048] 3. Dynamic threshold method to extract wetland steps;

[0049] Perform K-T transformation on the corrected image to obtain the humidity component. Refer to the auxili...

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Abstract

A mangrove extraction method based on a hierarchical decision tree belongs to the technical field of mangrove information extraction based on remote sensing data. On the basis of the deep analysis on the spectral signature and the spatial distribution regulation of mangrove wetland types, a decision tree classification model of a multi-knowledge rule is built, and mangrove is extracted from a remote sensing image; according to judging criteria described by the decision tree, each image element in the image is identified and classified layer by layer, a target is separated according to multiple times of middle distinguishing and masking is performed, as a coverage, the interference in and the influence on the extraction of other targets by the target are avoided, and mangrove information is extracted. The mangrove extraction method based on the hierarchical decision tree has the advantages that on the basis of the deep analysis on the spectral signature and the spatial distribution regulation of the mangrove wetland types, the decision tree classification model of the multi-knowledge rule is built, and the mangrove can be accurately and quickly extracted from the remote sensing image.

Description

Technical field [0001] The invention relates to a method for extracting mangrove forests based on hierarchical decision trees, and belongs to the technical field of mangrove information extraction based on remote sensing data. Background technique [0002] Due to the unique characteristics of wetlands, such as the dual spectral characteristics of water and soil, and its own texture characteristics, the commonly used maximum likelihood supervised classification, unsupervised classification and supervised classification combined methods, etc., take less consideration of the wetland itself Characteristics. Mangroves have a special geographical distribution pattern, distributed in open and flat coastal intertidal shoals, and present a layered distribution along the coast to the land. As a special vegetation type, mangrove forests have coastal wetland environment that makes mangrove remote sensing information not only have vegetation characteristics, but also have water body characte...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/188G06F18/24323
Inventor 赵峰张怀清刘华凌成星
Owner RES INST OF FOREST RESOURCE INFORMATION TECHN CHINESE ACADEMY OF FORESTRY
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