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 :
بازگشت