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Effects of noise on optimal deconvolution accuracy in microwave observations.
- Source :
-
International Journal of Remote Sensing . Nov2013, Vol. 34 Issue 21, p7811-7820. 10p. 1 Color Photograph, 2 Charts, 1 Graph, 1 Map. - Publication Year :
- 2013
-
Abstract
- Due to large footprints of remotely sensed microwave brightness temperatures, accuracy of microwave observations in areas of large surface heterogeneity has always been a technological challenge. Microwave observations in areas dominated by waterbodies typically exhibit observed brightness temperature several tens of kelvins lower than areas having no surface water. The non-linearity between brightness temperature and other geophysical quantities such as soil moisture makes the accuracy of microwave observations a critical element for accurate estimation of these quantities. In retrieving soil moisture estimates, an error of 1 K in remotely sensed microwave brightness temperatures results in about 0.5–1% error in volumetric soil moisture. Large uncertainties in the observed brightness temperatures make such observations unusable in areas of large brightness temperature contrast. In this article, we discuss a deconvolution method to improve accuracy using the overlap in the adjacent microwave observations. We have shown that the method results in improved accuracy of 40% in brightness temperature estimation in regions of high brightness temperature contrast. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 01431161
- Volume :
- 34
- Issue :
- 21
- Database :
- Academic Search Index
- Journal :
- International Journal of Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 90274079
- Full Text :
- https://doi.org/10.1080/01431161.2013.822595