首页> 外文会议>International Conference on Fuzzy Systems and Knowledge Discovery >Detect the different structures of vegetation patches using circular hough transform at Gudong oil field
【24h】

Detect the different structures of vegetation patches using circular hough transform at Gudong oil field

机译:在冈东油田循环河流变换检测植被斑块的不同结构

获取原文

摘要

The extending phenomenon of vegetation community caused by seismic exploration of Shengli Oil Field has been found in the many areas of the Yellow River Delta. The spatial structure of vegetation community is believed to have an influence on the landscape pattern and functions of wetland ecosystem. Numbers, areas, shapes and locations of vegetation community patch are the important parameters for vegetation function and structure researches. In this paper, Vegetation community patches with the different spatial shapes are extracted from SPOT 5 high spatial resolution fusion images using Circular Hough Transform (CHT). The total detection accuracy of the patches is about 89.4%. The experiments show that CHT is simple and effective for detecting vegetation patches from the SPOT 5 high resolution fusion images.
机译:黄河三角洲的许多地区发现了由胜利油田的地震勘探引起的植被群落的延伸现象。据信植被群落的空间结构对湿地生态系统的景观模式和功能有影响。植被群落贴片的数字,地区,形状和地点是植被功能和结构研究的重要参数。本文使用圆形霍夫变换(CHT)从点5个高空间分辨率融合图像中提取具有不同空间形状的植被群落块。斑块的总检测精度约为89.4%。实验表明,从点5个高分辨率融合图像中检测植被贴片,CHT简单且有效。

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