An efficient feature extraction and tree species recognition method oriented to a tree laser point cloud

A feature extraction, laser point cloud technology, applied in character and pattern recognition, image enhancement, image analysis, etc., can solve the problems of low aerial photography, time-consuming, labor-intensive accuracy
CN109446986AActive Publication Date: 2019-03-08浙江中南绿碳科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
浙江中南绿碳科技有限公司
Publication Date
2019-03-08

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Abstract

The invention discloses an effective feature extraction and tree species identification method oriented to a tree laser point cloud, which comprises the following steps of obtaining full-coverage point cloud data of a target tree; denoising the full coverage point cloud data of the target tree to remove anomalies; according to the point cloud data obtained after noise reduction, analyzing the treecharacteristics of three kinds of target trees respectively; extracting the optimal feature parameter group based on the relative clustering feature of trees; extracting the optimal feature parameters based on point cloud distribution features; extracting the optimal feature parameters based on apparent features of trees; combining and inputting the optimal feature parameters of three tree species to SVM classifier as variables to classify tree species. The invention achieves higher tree species classification accuracy, provides a powerful tool for obtaining more accurate forest tree speciesdistribution, reduces the high cost of field entity investigation, is time-consuming and laborious, and reduces the error caused by manual interpretation.
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Description

technical field

[0001] The invention relates to the technical field of tree species classification, in particular to an effective feature extraction and tree species identification method for tree laser point clouds. Background technique

[0002] As the main body of renewable natural resources and terrestrial ecosystems on the earth, forests provide abundant material resources for human survival and development, and play an important role in maintaining ecological processes and ecological balance. The correct identification of forest species is the basis and basis for utilizing and protecting forest resources. Over the past forty years, advances in remote sensing technology have enabled tree species classification within several sensor types. Most tree species classification methods at this stage rely on some high-cost, time-consuming, laborious field entity survey methods or low-accuracy aerial photos for manual interpretation.

[0003] At present, many studies have explo...

Claims

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