Semi-Supervised Classification of Terrain Features in Polarimetric SAR Images using H/A/alpha and the General Four-Component Scattering Power Decompositions.
Abstract
Abstract not provided.
- Authors:
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1242710
- Report Number(s):
- SAND2014-20040C
547387
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Conference
- Resource Relation:
- Conference: Proposed for presentation at the Asilomar Conference on Signals, Systems, and Computers held November 2-5, 2014 in Pacific Grove, CA.
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Dauphin, Stephen Michael, West, Roger Derek, Riley, Robert M,, and Simonson, Katherine Mary. Semi-Supervised Classification of Terrain Features in Polarimetric SAR Images using H/A/alpha and the General Four-Component Scattering Power Decompositions.. United States: N. p., 2014.
Web.
Dauphin, Stephen Michael, West, Roger Derek, Riley, Robert M,, & Simonson, Katherine Mary. Semi-Supervised Classification of Terrain Features in Polarimetric SAR Images using H/A/alpha and the General Four-Component Scattering Power Decompositions.. United States.
Dauphin, Stephen Michael, West, Roger Derek, Riley, Robert M,, and Simonson, Katherine Mary. 2014.
"Semi-Supervised Classification of Terrain Features in Polarimetric SAR Images using H/A/alpha and the General Four-Component Scattering Power Decompositions.". United States. https://www.osti.gov/servlets/purl/1242710.
@article{osti_1242710,
title = {Semi-Supervised Classification of Terrain Features in Polarimetric SAR Images using H/A/alpha and the General Four-Component Scattering Power Decompositions.},
author = {Dauphin, Stephen Michael and West, Roger Derek and Riley, Robert M, and Simonson, Katherine Mary},
abstractNote = {Abstract not provided.},
doi = {},
url = {https://www.osti.gov/biblio/1242710},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Nov 01 00:00:00 EDT 2014},
month = {Sat Nov 01 00:00:00 EDT 2014}
}
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