Liu Chuanli
School of Architectural and surveying Engineering, Jiangxi University of Science and Technology, Jiangxi, Ganzhou, 341000, China
Liu Xiaosheng
School of Architectural and surveying Engineering, Jiangxi University of Science and Technology, Jiangxi, Ganzhou, 341000, China
Liao Qiumin
Faculty of Foreign Studies, Jiangxi University of Science and Technology, Jiangxi, Ganzhou, 341000, China
ABSTRACT
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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How to cite this article
Liu Chuanli, Liu Xiaosheng and Liao Qiumin, 2013. Poyang Lake Wetland Information Extraction and Change Monitoring Based on Spatial Data Mining. Information Technology Journal, 12: 6143-6148.
DOI: 10.3923/itj.2013.6143.6148
URL: https://scialert.net/abstract/?doi=itj.2013.6143.6148
DOI: 10.3923/itj.2013.6143.6148
URL: https://scialert.net/abstract/?doi=itj.2013.6143.6148
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