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