Interferometric SAR coherence classification utility assessment
Abstract
The classification utility of a dual-antenna interferometric synthetic aperture radar (IFSAR) is explored by comparison of maximum likelihood classification results for synthetic aperture radar (SAR) intensity images and IPSAR intensity and coherence images. The addition of IFSAR coherence improves the overall classification accuracy for classes of trees, water, and fields. A threshold intensity-coherence classifier is also compared to the intensity-only classification results.
- Authors:
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE, Washington, DC (United States)
- OSTI Identifier:
- 650376
- Report Number(s):
- SAND-98-0725C; CONF-980715-
ON: DE98005036; BR: GC0404000; TRN: AHC2DT04%%290
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Conference
- Resource Relation:
- Conference: IEEE international geoscience and remote sensing symposium, Seattle, WA (United States), 6-10 Jul 1998; Other Information: PBD: Mar 1998
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 44 INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; INTERFEROMETRY; RADAR; IMAGES; COMPARATIVE EVALUATIONS; MAXIMUM-LIKELIHOOD FIT; CLASSIFICATION; REMOTE SENSING
Citation Formats
Yocky, D A. Interferometric SAR coherence classification utility assessment. United States: N. p., 1998.
Web.
Yocky, D A. Interferometric SAR coherence classification utility assessment. United States.
Yocky, D A. 1998.
"Interferometric SAR coherence classification utility assessment". United States. https://www.osti.gov/servlets/purl/650376.
@article{osti_650376,
title = {Interferometric SAR coherence classification utility assessment},
author = {Yocky, D A},
abstractNote = {The classification utility of a dual-antenna interferometric synthetic aperture radar (IFSAR) is explored by comparison of maximum likelihood classification results for synthetic aperture radar (SAR) intensity images and IPSAR intensity and coherence images. The addition of IFSAR coherence improves the overall classification accuracy for classes of trees, water, and fields. A threshold intensity-coherence classifier is also compared to the intensity-only classification results.},
doi = {},
url = {https://www.osti.gov/biblio/650376},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Mar 01 00:00:00 EST 1998},
month = {Sun Mar 01 00:00:00 EST 1998}
}
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