摘要
不同海水养殖模式用地面积的获取是海水养殖区域进行合理规划、长期稳定发展的基础性工作之一。本文以广东省柘林湾海水养殖区为实验区,采用面向对象遥感分类方法实现了对3种海水养殖模式的分类提取,研究结果表明:面向对象的海水养殖模式遥感分类结果精度为83.87%,较监督分类提取精度提高了9.61%;此方法对塘埂的剔除效果较明显,且能有效对不同池塘养殖模式进行分类。
The land area for different mariculture patterns is one of the basic work of rational planning and long-term stable development in mariculture area. This paper selected Zhelin Bay of Guangdong Province as the example areas,extracted different types of mariculture in remote sensing by object-oriented classification approach. The results showed that： the precision of object-oriented classification approach is 83.87%,which is 9.61% higher than that of traditional supervised classification. This method is effective to eliminate the pond culture and can effectively classify the different pond culture patterns.
作者
徐珊
夏立华
彭海波
刘曦
XU Shan;XIA Lihua;PENG Haibo;LIU Xi(Land and Resources Information Center of Hunan Province, Changsha 410003,China; School of Geographical Sciences, Guangzhou University, Guangzhou 510006,China)
出处
《测绘与空间地理信息》
2018年第5期110-112,共3页
Geomatics & Spatial Information Technology
关键词
海水养殖模式
遥感
面向对象
柘林湾
mariculture models
remote sensing
object-oriented classification
Zhelin Bay
