植物智能识别与三维建模应用研究  

Research on the Application of Plant Intelligent Recognition and 3D Modeling

作　　者：孟秀芳 王晓燕[1] 杨盼 郜心如 陈翊可 MENG Xiufang;WANG Xiaoyan;YANG Pan;GAO Xinru;CHEN Yike(Hexi University,Zhangye Gansu 734000,China)

机构地区：[1]河西学院,甘肃张掖734000

出　　处：《信息与电脑》2024年第11期203-207,共5页Information & Computer

基　　金：2023年全国大学生创新创业训练计划项目省级项目“植物智能识别及其3D立体模型展示”(项目编号:S202310740062)研究成果;河西学院横向项目“新媒体市场营销管理创新模式构建及方案制作”(项目编号:H2019062)研究成果。

摘　　要：资料分析显示,基于国外植物图像的三维虚拟现实技术已广泛应用于多领域。该方法在保留原始纹理和颜色特征的基础上,实现了建模与模拟,便于研究者近距离、多角度观察植物,深入了解其形态特征与生理状况。本文分析了现有智能识别APP结合细胞神经网络(Cellular Neural Network,CNN)和支持向量机(Support Vector Machine,SVM)的无人机多光谱遥感拍照技术,在对比筛选提前录入数据库的植物以及在APP软件界面展示三维(3D)场景时存在的问题,提出了相应解决方案。文章最后就如何克服这些难题提出了建议,旨在为植物数字三维虚拟现实技术的发展提供参考。Data analysis shows that 3D virtual reality technology based on foreign plant images has been widely used in many fields.On the basis of retaining the original texture and color characteristics,this method realizes modeling and simulation,which is convenient for researchers to observe plants at close range and from multiple angles,and gain an in-depth understanding of their morphological characteristics and physiological conditions.This paper analyzes the existing Unmanned Aerial Vehicle(UAV)multispectral remote sensing technology of intelligent recognition APP combined with Cellular Neural Network(CNN)and Support Vector Machine(SVM)to compare and screen the plants entered into the database in advance,and the problems existing in the display of three-dimensional(3D)scenes in the APP software interface,and proposes corresponding solutions.Finally,how to overcome these problems is prospected,in order to provide a reference for the development of digital 3D virtual reality technology for plants.

关 键 词：三维虚拟现实技术 植物图像 智能识别APP 多光谱遥感拍照技术 无人机 CNN SVM 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]