根据植物茎叶图像模拟根系图像的人工神经网络算法  

Artificial Neuro-network to Simulate Root Systemimage by Botanic Leaf-stalkimage

作　　者：丛沛桐[1] 祖元刚[1] 于景华[1] 赵则海[1] 谷会岩[1] 

机构地区：[1]东北林业大学森林植物生态学开放研究实验室,哈尔滨150040

出　　处：《生态学报》2002年第2期163-168,共6页Acta Ecologica Sinica

基　　金：国家自然科学基金"九五"重大资助项目 ( 3989336 0 ) ;国家林业局专项调查资助项目

摘　　要：以内蒙古野生甘草产区为试验地 ,采用图像关联的小波 -神经网络综合算法建立了甘草茎叶 -根系图像联结的 BP人工神经网络模型。该模型具有运算速度快 ,易于处理复杂图像数据的特点。通过植物茎叶图像对根系图像的模拟 ,实现块茎植物生物量数量化评估和农作物估产。The patterns of botanic root system exist in an obvious correlation with the organs over the ground,such as leaves,branches,and stalks.Different species present varied features which mirror biological habits of a species being in correlation with the pattern of its own structure.Related researches have shown that root number,weight,and diameter offer a close relationship with the corresponding parts over the ground,so that it is possible to simulate the root system image with the leaf-stalk image.;In accordance with the principle of phytoecology,and based on biological habits of licorice,this paper recommended the wild licorice population structure in Chifeng region of the Inner Mongolia as a sample to establish a model of licorice artificial neuro-network linking up the leaves and stalks to its root system by using the technique of artificial neuro-nework integrated with image-information computer treatment.Through learning,training,and self-adaptation with the neuor-network,the ability to recognize and simulate the root system of the neuro-network got to be improved successively.It could randomize a single or multiple licorice leaf-stalk images to simulate the correspoding root system image by applying of the artificial neuro-network technique.A goal of simulating botanic root system image from vegetable leaf-stalk image was achieved at long.;On-the-spot inivestigation at the wild licorice growing area in Chifeng region,Inner Mongolia,the author selected both of 4 sampling units and premesured sample spots,of which the data of thd former were employed for the simulation and training of the neuro-network,and the latter for the assessment of distinguishing the artificial neuro-network and its imitation capacity.Around hundred of licorice leaf-stalk images and related data were gathered at the sample plots,meanwhile,the bio-variables related to some environmental parameters of ecological geography were collected too.;The chosen geographic environmental factors involved 4 categories:soil type,moisture state in grow

关 键 词：植物茎叶 图像模拟 根系图像 植物根系 生物量评估 人工神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]