Research on Poyang Lake Wetland Information Extraction and Change Monitoring Based on Spatial Data Mining

被引:4
|
作者
Liu, Chuanli [1 ]
Liu, Xiaosheng [1 ]
机构
[1] Jiangxi Univ Sci & Technol, JXUST, Sch Architectural & Surveying Engn, Ganzhou, Peoples R China
关键词
Spatial Data Mining; Wetland; Change Monitoring; Decision Trees Model;
D O I
10.1016/j.phpro.2012.05.231
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Poyang Lake wetland is the largest "kidney of the mainland". It plays an important role in many aspects such as water storage, flood control, climate mediation and biological diversity protection. This paper first reviews the development of wetland RS monitoring and probes RS classification methods based on Spatial Data Mining; secondly gives analysis on spectrum features of RS images of Poyang Lake wetland, and sets up the Decision Trees Model; and then classified RS image by Decision Trees Model in Expert Classifier module of Erdas Imagine 2010 software, and achieves a relatively high precision. Finally it gives dynamic change monitoring on Poyang Lake Wetland based on multi-temporal RS image and grasps the changed situation to provide scientific proof for government decision making. (C) 2012 Published by Elsevier B.V. Selection and/or peer-review under responsibility of ICMPBE International Committee.
引用
收藏
页码:1412 / 1419
页数:8
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