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Position: Home > Articles > Forest Resource Information Extract Technology Base on SPOT5 Image Inner Mongolia Forestry Investigation and Design 2012,35 (5) 19+94-95

基于SPOT5影像的森林资源信息提取技术研究

作  者:
周宝祥
单  位:
内蒙古自治区林业监测规划院
关键词:
遥感;信息提取;森林资源;神经网络
摘  要:
森林资源调查所使用的遥感影像分辨率不断提高,遥感影像分类技术随之发展成熟,这为森林资源信息的提取,提供了较好的数据资源及技术基础。根据SPOT5遥感的高分辨率特征以及多光谱特征,利用神经网络工具提取森林资源特征,然后进行森林资源的自动提取。将自动提取的结果,结合其他小班区划条件人工进行修改,最终使数据达到资源调查所需要的精度。
译  名:
Forest Resource Information Extract Technology Base on SPOT5 Image
作  者:
ZHOU Bao-xiang(Monitoring and Planning Institute of Forestry of Inner Mongolia,Hohhot 010020,China)
关键词:
Remote sensing;information extraction;forest resource;neural network
摘  要:
With the resolution enhancement of remote sensing image in forest resource investigation,the remote sensing image classification technology becomes full-fledged,which offers better data resource and technological base to forest resource information extraction.Because of high resolution and multi-spectrum of SPOT5 image,the forest resource information is extracted automatically with neural network.Then the extracted result is revised according to the other conditions of small class division,so that we could offer high-precision data for the forest resource investigation.

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