DocumentCode :
1210508
Title :
Spatial resolution and processing tradeoffs for HYDROS: application of reconstruction and resolution enhancement techniques
Author :
Long, David G. ; Spencer, Michael W. ; Njoku, Eni G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
Volume :
43
Issue :
1
fYear :
2005
Firstpage :
3
Lastpage :
12
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.
Keywords :
backscatter; data acquisition; geophysical signal processing; hydrological techniques; image reconstruction; image resolution; microwave imaging; microwave measurement; moisture measurement; radar signal processing; remote sensing; soil; HYDROS; Hydrospheric State mission; active L-band microwave system; active channels; aft-looking measurements; backscatter; carbon cycle; climate prediction; downlink data; energy cycle; forward-looking measurements; freeze state; global soil moisture measurement; ground processor complexity; ground-based postprocessing algorithms; image reconstruction; image resolution enhancement; microwave instruments; natural hazard monitoring; passive L-band microwave system; postcollection reconstruction; real-time applications; real-time processing; spatial processing; spatial resolution; synthetic aperture radar-type processing; thaw state; water cycle; weather prediction; Downlink; Energy measurement; Energy resolution; Hazards; Instruments; Moisture measurement; Soil measurements; Soil moisture; Spatial resolution; Weather forecasting;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2004.838385
Filename :
1381614
Link To Document :
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