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

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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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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