DocumentCode :
2120116
Title :
A study on wetland change information image segmentation based on remote sensing
Author :
Xu, Jun ; Li, Jiansong
Author_Institution :
School of Remote Sensing and Information Engineering, Wuhan University, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
3490
Lastpage :
3493
Abstract :
In this paper, the region-based image segmentation method is adopted to segment the remote sensing images after continuous analyzing and testing. The author extracts the wetland information from the remote sensing image by region-based image segmentation, and compares the segmentation results with the interpretation results by conventional methods. According to the result of the comparison, the author evaluates the image segmentation accuracy based on the common evaluation criteria that are used to evaluate the image segmentation. After analyzing the result of the segmentation evaluation, the author confirms the reliability that wetland information is extracted from the remote sensing images through the methods of region-based image segmentation.
Keywords :
Accuracy; Clustering methods; Data mining; Image segmentation; Iterative methods; Pixel; Remote sensing; clustering; image processing; image segmentation; iterative threshold; regional expansion; remote sensing; segmentation evaluation; wetland;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5690116
Filename :
5690116
Link To Document :
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