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Forest three- dimensional canopy morphological structure extraction method on the basis of active contour model

An active contour model and morphological structure technology, applied in the field of forestry remote sensing image intelligent processing, can solve the problems of low elevation accuracy, difficult selection of control points, and high cost

Inactive Publication Date: 2016-05-18
BEIJING FORESTRY UNIVERSITY
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Problems solved by technology

Photogrammetry technology is difficult to select and match control points in forest areas, resulting in low elevation accuracy; during the scanning process of the laser radar system, due to external environmental factors blocking and covering the scanning target, and the reflection characteristics of the ground objects themselves are not good. Uniform, there will be scanning holes, and the cost is significantly higher than that of photogrammetry technology

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  • Forest three- dimensional canopy morphological structure extraction method on the basis of active contour model
  • Forest three- dimensional canopy morphological structure extraction method on the basis of active contour model

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[0014] The technical solutions in the implementation examples of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the examples of the present invention. Obviously, the described implementation examples are only part of the implementation examples of the present invention, not all implementation examples. Based on the implementation examples in the invention, all other implementation examples obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0015] like figure 1 As shown, a method for extracting 3D canopy structure in forest area based on active contour model, the implementation steps are as follows:

[0016] Step1: Obtain the forest canopy height model based on the improved SURF stereo matching algorithm, such as figure 2 As shown, the detailed process is:

[0017] 1) Select stereo image pairs with high spatial resolution ...

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Abstract

The present invention belongs to the forestry remote sensing image intelligent processing field technology, and especially relates to a forest three-dimensional canopy morphological structure extraction method on the basis of an active contour model. The method comprises the steps: obtaining corresponding image points through adoption of a SURF stereo matching algorithm based on a structural information consistency examination mechanism, resolving the three-dimensional space information through combination of a light beam method rigorous solution, constructing a three-dimensional shape model according to the significance area segmentation algorithm and the dynamic contour model based on a selectivity visual attention mechanism, and obtaining forest three-dimensional canopy morphological structure information. The forest three- dimensional canopy morphological structure extraction method on the basis of an active contour model is helpful to greatly improve the forest region tree species partition degrees and serves the comprehensive control and monitoring of forest resources.

Description

1. Technical field [0001] The invention belongs to the field of intelligent processing of forestry remote sensing images, and in particular relates to a method for extracting a three-dimensional canopy morphological structure of a forest based on an active contour model, which is used for extracting a three-dimensional canopy morphological structure in a forest area. 2. Technical background [0002] Trees of different tree species and different ages usually have very similar spectral characteristics (that is, the phenomenon of "different objects with the same spectrum"), and the same tree species sometimes have significantly different spectral characteristics (that is, the phenomenon of "same object with different spectra"). Only based on spectral characteristics, It is difficult to achieve high-precision classification and identification of forest tree species. Forests are mostly distributed in areas with certain topographical fluctuations. Through the analysis of tree phen...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/46
CPCG06T2207/10032G06T2207/30188G06V10/462
Inventor 王瑞瑞石伟于旭宅
Owner BEIJING FORESTRY UNIVERSITY
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