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Fusing AMSR-E and QuikSCAT Imagery for Improved Sea Ice Recognition.
- Source :
- IEEE Transactions on Geoscience & Remote Sensing; Jul2009 Part 1 of 2, Vol. 47 Issue 7, p1980-1989, 10p, 2 Diagrams, 7 Charts, 1 Graph
- Publication Year :
- 2009
-
Abstract
- The benefits of augmenting Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) image data with Quick Scatterometer (QuikSCAT) image data for supervised sea ice classification in the Western Arctic region are investigated. Experiments compared the performance of a maximum likelihood classifier when used with the AMSR-E-only data set against using the combined data. The preferred number of bands to use for classification was examined, as well as whether principal component analysis (PCA) can be used to reduce the dimensionality of the data. The reliability of training data over time was also investigated. Adding QuikSCAT often improves classifier accuracy in a statistically significant manner and never decreases it significantly when a sufficient number of bands are used. Combining these data sets is beneficial for sea ice mapping. Using all available bands is recommended, data fusion with PCA does not offer any benefit for these data, and training data from a specific date remains reliable within 30 days. [ABSTRACT FROM AUTHOR]
- Subjects :
- MICROWAVES
RADIOMETERS
SEA ice
MAXIMUM likelihood statistics
STATISTICS
Subjects
Details
- Language :
- English
- ISSN :
- 01962892
- Volume :
- 47
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Geoscience & Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 43222928
- Full Text :
- https://doi.org/10.1109/TGRS.2009.2013632