Title
Sequential classification of MODIS time series
Abstract
In this paper a sequential time-varying maximum likelihood classifier is applied on coarse resolution MODIS surface reflectance data. It is shown that good class separability can be obtained after considering only one year of data. Finally it is shown that after NDVI, band 2 has the highest separability of all the MODIS land bands, and band 6 has the lowest separability for the presented case study.
Year
DOI
Venue
2012
10.1109/IGARSS.2012.6352683
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
geophysical image processing,image classification,image resolution,maximum likelihood estimation,radiometry,terrain mapping,MODIS land band,MODIS time series,NDVI,class separability,coarse resolution MODIS surface reflectance data,land cover classification,sequential classification,sequential time-varying maximum likelihood classifier,Land cover classification,MODIS,sequential,time series,time-varying maximum likelihood classifier
Pattern recognition,Computer science,Remote sensing,Maximum likelihood,Radiometry,Normalized Difference Vegetation Index,Maximum likelihood classifier,Artificial intelligence,Contextual image classification,Reflectivity,Class separability,Image resolution
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4673-1158-8
978-1-4673-1158-8
0
PageRank 
References 
Authors
0.34
0
7