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Title: Poyang Lake Wetland Information Extraction and Change Monitoring Based on Spatial Data Mining
Authors: Liu Chuanli, Liu Xiaosheng, Liao Qiumin
Journal: Information Technology Journal
Publisher: Asian Network for Scientific Information (ANSInet)
Country: Pakistan
Year: 2013
Volume: 12
Issue: 21
Language: English
DOI: 10.3923/itj.2013.6143.6148
In order to realize high-precision, automatic abstraction
and live, dynamic monitoring of wetland information in Poyang Lake Area, this
study researches on RS image classification and change monitoring based on knowledge
rules. It first reviews the development of wetland RS monitoring and probes
RS classification methods based on Spatial Data Mining secondly it gives analysis
on spectrum features of RS images of Poyang Lake wetland and sets up the Decision
Trees Model and then it classifies 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 master the dynamic change to provide scientific
proof for government decision making.
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