Keywords
backscatter, data acquisition, geophysical signal processing, hydrological techniques, image reconstruction, image resolution, microwave imaging
Abstract
Recent developments in reconstruction and resolution enhancement for microwave instruments suggest a possible tradeoff between computation, resolution, and downlink data rate based on postcollection reconstruction/resolution enhancement processing. The Hydrospheric State (HYDROS) mission is designed to measure global soil moisture and freeze/thaw state in support of weather and climate prediction, water, energy, and carbon cycle studies, and natural hazards monitoring. It will use an active and passive L-band microwave system that optimizes measurement accuracy, spatial resolution, and coverage. The active channels use synthetic aperture radar-type processing to achieve fine spatial resolution, requiring a relatively high downlink data rate and ground processor complexity. To support real-time applications and processing, an optional postcollection reconstruction and resolution enhancement method is investigated. With this option, much lower rate real-aperture radar data are used along with ground-based postprocessing algorithms to enhance the resolution of the observations to achieve the desired 10-km resolution. Several approaches are investigated in this paper. It is determined that a reconstruction/resolution enhancement technique combining both forward- and aft-looking measurements enables estimation of 10-km resolution or better backscatter values at acceptable accuracy. Key tradeoffs to achieve this goal are considered.
Original Publication Citation
Long, D. G., M. W. Spencer, and E. G. Njoku. "Spatial Resolution and Processing Tradeoffs for HYDROS: Application of Reconstruction and Resolution Enhancement Techniques." Geoscience and Remote Sensing, IEEE Transactions on 43.1 (25): 3-12
BYU ScholarsArchive Citation
Long, David G.; Spencer, Michael W.; and Njoku, Eni G., "Spatial resolution and processing tradeoffs for HYDROS: application of reconstruction and resolution enhancement techniques" (2005). Faculty Publications. 401.
https://scholarsarchive.byu.edu/facpub/401
Document Type
Peer-Reviewed Article
Publication Date
2005-01-01
Permanent URL
http://hdl.lib.byu.edu/1877/1115
Publisher
IEEE
Language
English
College
Ira A. Fulton College of Engineering and Technology
Department
Electrical and Computer Engineering
Copyright Status
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