首页> 外文会议>Asian conference on remote sensing >Development of the forest type classification technique for the mixed forest with coniferous and broad-leaved species using the high resolution satellite data
【24h】

Development of the forest type classification technique for the mixed forest with coniferous and broad-leaved species using the high resolution satellite data

机译:使用高分辨率卫星数据的针叶和阔叶物种森林型分类技术的发展

获取原文

摘要

This research aimed to develop forest type classification technique for the mixed forest with coniferous and broad-leaved species using the high resolution satellite data. QuickBird data was used as satellite data. The method of this research was to extract satellite data for every single tree crown using image segmentation technique, then to evaluate the accuracy of classification by changing grouping criteria such as tree species, families, coniferous or broad-leaved species, and timber prices. As a result, the classification of tree species and families level was inaccurate, on the other hand, coniferous or broad-leaved species and timber price level was high accurate.
机译:该研究旨在使用高分辨率卫星数据对针叶和阔叶物种的混合林开发森林型分类技术。 QuickBird数据用作卫星数据。本研究的方法是使用图像分割技术提取每个树冠的卫星数据,然后通过改变树种,家庭,针叶树或广阔的物种等分组标准来评估分类的准确性,以及木材价格。结果,树种和家庭水平的分类是不准确的,另一方面,针叶树或阔叶物种和木材价格水平高。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号