DocumentCode
3353262
Title
Automatic change detection in RapidEye data using the combined MAD and kernel MAF methods
Author
Nielsen, Allan A. ; Hecheltjen, Antje ; Thonfeld, Frank ; Canty, Morton J.
Author_Institution
DTU Space - Nat. Space Inst., Tech. Univ. of Denmark, Lyngby, Denmark
fYear
2010
fDate
25-30 July 2010
Firstpage
3078
Lastpage
3081
Abstract
The IR-MAD components show changes in the agricultural areas as well as in the mine, and the kMAF components focus on extreme changes in the mine. Due to lack of change in the spectral signal (the change occurs in the height of the surface only) excavation of material (here brown coal) leaving the same material behind is not detected.
Keywords
coal; correlation methods; image processing; iterative methods; minerals; IR-MAD components; MAD methods; RapidEye data; agricultural areas; automatic change detection; brown coal; iteratively reweighted multivariate alteration detection; kMAF components; kernel MAF methods; kernel maximum autocorrelation factor; material excavation; mine; spectral signal; Correlation; Data mining; Fuel processing industries; Internet; Kernel; Pixel; Principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5652663
Filename
5652663
Link To Document