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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5652663
