DocumentCode
3001923
Title
Remote sensing image change detection based on spatial neighborhood analysis
Author
Huijuan Chen ; Ping Liu ; Xing Huang
Author_Institution
Shenzhen Inst. of Adv. Technol., Shenzhen, China
fYear
2013
fDate
Nov. 29 2013-Dec. 1 2013
Firstpage
296
Lastpage
299
Abstract
Remote sensing image change detection can analyze surface coverage change trends and evolution law of the land use/cover, disaster monitoring, forest vegetation change, urban expansion and layout, and many other fields play an important role in positively, has the urgent scientific applications demand and extensive application prospect. In this paper, we discussed remote sensing image change detection, and introduced one method based on spatial neighborhood analysis. Case study shows that, the effect of the method introduced is obvious where detection area is spatial neighborhood correlation.
Keywords
disasters; geophysical image processing; land cover; land use; remote sensing; vegetation; disaster monitoring; forest vegetation change; land cover; land use; remote sensing image change detection; spatial neighborhood analysis; spatial neighborhood correlation; surface coverage change trends; surface coverage evolution law; urban expansion; urban layout; Colored noise; Image color analysis; Image segmentation; Remote sensing; Sensors; bilateral filtering; image change detection; remote sensing; spatial neighborhood analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on
Conference_Location
Mindeb
Print_ISBN
978-1-4799-1506-4
Type
conf
DOI
10.1109/ICCSCE.2013.6719977
Filename
6719977
Link To Document