摘要
为了提高生态环境保护的量化指标规划能力,提出基于地理信息识别的生态环境保护指标规划方法,构建生态环境保护指标分布结构模型,采用大数据融合技术进行生态环境保护指标规划的信息融合和特征提取处理,构建生态环境保护指标规划方案,采用地理信息识别技术进行生态环境保护规划中的信息特征采集和自适应融合,构建生态环境保护指标的空间区域规划模型,结合模糊相关性聚类检测技术进行生态环境保护指标中的地理信息识别,实现生态环境保护指标规划优化。
In order to improve the ability of quantitative index planning of ecological environment protection,a planning method of ecological environment protection index based on geographic information recognition is proposed,and the distribution structure model of ecological environment protection index is constructed.The information fusion and feature extraction of eco-environment protection index planning were carried out by big data fusion technology,and the planning scheme of eco-environment protection index was constructed.The spatial-regional planning model of eco-environmental protection index is constructed by adopting geographic information recognition technology to collect and self-adapt the information feature collection and adaptive fusion in ecological environment protection planning,and construct the spatial regional planning model of eco-environmental protection index.The fuzzy correlation cluster detection technology is used to identify the geographical information of eco-environmental protection index and realize the optimization of eco-environmental protection index planning.
作者
臧玉魏
谢连科
王飞
巩泉泉
马新刚
Zang Yuwei;Xie Lianke;Wang Fei;Gong Quanquan;Ma Xingang(Electric Power Research Institute of State Grid Shandong Electric Power Company,Jinan 250002,China;State Grid Shandong Electric Power Company,Jinan 250002,China)
出处
《环境科学与管理》
CAS
2019年第9期42-45,共4页
Environmental Science and Management
关键词
地理
信息识别
生态环境保护
指标规划
geography
information identification
ecological environment protection
index planning
