Spatial resolution enhancement of SSM/I data

One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To ameliorate this limitation, resolution-enhancement algorithms can be applied to the data. In this paper, the Backus-Gilbert inversion (BGI) techni...

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Published in:IEEE transactions on geoscience and remote sensing Vol. 36; no. 2; pp. 407 - 417
Main Authors: Long, D.G., Daum, D.L.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.03.1998
Institute of Electrical and Electronics Engineers
Subjects:
Antenna measurements
Applied geophysics
Atmospheric measurements
Brightness
Directive antennas
Earth sciences
Earth, ocean, space
Exact sciences and technology
Ice
Image resolution
Internal geophysics
Radar measurements
Radiometers
Spatial resolution
Vegetation
Brazil
Guyana
Amazon River
South America
algorithms
Space remote sensing
vegetation
digital simulation
microwave methods
image reconstruction
image analysis
deconvolution
reconstruction
spatial resolution
correlation coefficient
deltas
ISSN:0196-2892
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Abstract One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To ameliorate this limitation, resolution-enhancement algorithms can be applied to the data. In this paper, the Backus-Gilbert inversion (BGI) technique and the scatterometer image-reconstruction (SIR) algorithm are investigated as possible methods for creating enhanced resolution images from SSM/I data. The two algorithms are compared via both the simulation and the actual SSM/I data. The algorithms offer similar resolution enhancement, though SIR requires significantly less computation. Sample results over two land regions of South America are presented.
AbstractList One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To ameliorate this limitation, resolution-enhancement algorithms can be applied to the data. In this paper, the Backus-Gilbert inversion (BGI) technique and the scatterometer image-reconstruction (SIR) algorithm are investigated as possible methods for creating enhanced resolution images from SSM/I data. The two algorithms are compared via both the simulation and the actual SSM/I data. The algorithms offer similar resolution enhancement, though SIR requires significantly less computation. Sample results over two land regions of South America are presented. (Author)
One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To ameliorate this limitation, resolution-enhancement algorithms can be applied to the data. In this paper, the Backus-Gilbert inversion (BGI) technique and the scatterometer image-reconstruction (SIR) algorithm are investigated as possible methods for creating enhanced resolution images from SSM/I data. The two algorithms are compared via both the simulation and the actual SSM/I data. The algorithms offer similar resolution enhancement, though SIR requires significantly less computation. Sample results over two land regions of South America are presented
One of the limitations in using Special Sensor Microwave/Imager (SSM/I) data for land and vegetation studies is the relatively low-spatial resolution. To ameliorate this limitation, resolution-enhancement algorithms can be applied to the data. In this paper, the Backus-Gilbert inversion (BGI) technique and the scatterometer image-reconstruction (SIR) algorithm are investigated as possible methods for creating enhanced resolution images from SSM/I data. The two algorithms are compared via both the simulation and the actual SSM/I data. The algorithms offer similar resolution enhancement, though SIR requires significantly less computation. Sample results over two land regions of South America are presented.
Author Long, D.G.
Daum, D.L.
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Issue 2
Keywords South America
algorithms
Space remote sensing
vegetation
digital simulation
microwave methods
image reconstruction
image analysis
deconvolution
reconstruction
spatial resolution
correlation coefficient
deltas
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SubjectTerms Antenna measurements
Applied geophysics
Atmospheric measurements
Brightness
Directive antennas
Earth sciences
Earth, ocean, space
Exact sciences and technology
Ice
Image resolution
Internal geophysics
Radar measurements
Radiometers
Spatial resolution
Vegetation
Title Spatial resolution enhancement of SSM/I data
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