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。
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.
出处
《内蒙古林业调查设计》
2012年第5期89-90,14,共3页
Inner Mongolia Forestry Investigation and Design
关键词
遥感
信息提取
森林资源
神经网络
Remote sensing
information extraction
forest resource
neural network
