Research on Tree Classification Algorithm Based on Morphology and Leaf

机译：基于形态和叶片的树分类算法研究

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摘要

For a long time, forestry workers carry out forestry field investigation work, when they do not know the tree species, they can only search the relevant literature such as “tree annals”. The query procedure is tedious and the accuracy is not high, which seriously affects the efficiency of forestry production. In this paper, after data augmentation of tree images, GAP (Global Average Pooling) was used to fine-tune Inception-V3, ResNet50 and Xception for transfer learning. Feature vectors of the model were extracted and merged, and two feature vectors of tree overall shape and leaves were obtained through training. After feature fusion, SoftMax was used for classification, and the result of tree species determination was obtained. The practice has proved that the tree classification method proposed in this paper has a great advantage and the accuracy is higher.

机译：长期以来，林业工人进行林业实地调查工作，当他们不了解树种时，他们只能搜索相关文献，如“树年纪元”。查询程序乏味，准确性不高，这严重影响了林业生产的效率。在本文中，在树图像的数据增强之后，GAP（全局平均池）用于微调Inception-V3，ResET50和Xception进行转移学习。提取和合并模型的特征向量，通过训练获得了两种树木形状和叶子的两个特征向量。在特征融合后，SoftMax用于分类，获得树种测定的结果。实践证明，本文提出的树木分类方法具有很大的优势，准确性更高。

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《International Conference on Computer Vision, Image and Deep Learning》|2020年|227-231|共5页
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KE Jing; WANG Fuwei; LI Dong; KE Yu; LI Buying;
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Feature extraction; Vegetation; Training; Computational modeling; Convolution; Image recognition; Forestry;

机译：特征提取;植被;培训;计算建模;卷积;图像识别;林业;

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3. Dynamic tree based classification of Web Queries using B-tree and Simple Ordinal classification algorithm [J] . Lakshmi L., Reddy P. Bhaskara, Shoba Bindu C. Journal of digital information management . 2017,第3期

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4. Forest mapping and classification of forest Type using LiDAR data and tree specie identification through image processing based on leaf extraction algorithms [C] . Alejandro H. Ballado, Ramon G. Garcia, Joanne Gem Z. Chichoco, 2017 IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and ManagementbElectronic resource . 2017

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Research on Tree Classification Algorithm Based on Morphology and Leaf

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