Onboard Detection of Snow, Ice, Clouds and Other Geophysical Processes Using Kernel Methods (2003)
by
Ashok N. Srivastava
| Citations: | 15 - 2 self |
BibTeX
@MISC{Srivastava03onboarddetection,
author = {Ashok N. Srivastava},
title = {Onboard Detection of Snow, Ice, Clouds and Other Geophysical Processes Using Kernel Methods},
year = {2003}
}
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Abstract
The detection of clouds within a satellite image is essential for retrieving surface geophysical parameters from optical and thermal imagery.
Citations
| 1057 | An Introduction to Support Vector Machines and Other Kernel-based Learning Methods - Cristianini, Shawe-Taylor - 2000 |
| 31 | Mercer kernel based clustering in feature space - Girolami - 2002 |
| 29 | SEM algorithm and unsupervised statistical segmentation of satellite images - Masson, Pieczynski - 1993 |
| 12 | Convolution kernels on discrete structures (Tech - Haussler - 1999 |
| 5 | S.: Cloud classification of satellite radiance data by multicategory support vector machines - Lee, Wahba, et al. |
| 5 | Assessment of greenland albedo variability from the AVHRR polar pathfinder data set - Stroeve - 2002 |
| 3 | The Cloud and Surface Parameter Retrieval (CASPR) system for polar AVHRR user’s guide - Key - 2002 |
