DocumentCode :
2125091
Title :
Data fusion of SSM/I channels using multiresolution wavelet transform
Author :
Mehta, V.K. ; Hammock, C.M. ; Fieguth, P.W. ; Krim, H.
Author_Institution :
North Carolina State Univ., Raleigh, NC, USA
Volume :
4
fYear :
2002
fDate :
24-28 June 2002
Firstpage :
2421
Abstract :
This paper presents an approach to the fusion of SSM/I (Special Sensor Microwave/Imager) data from different resolutions, based on the prior statistical information about the data. The result is an estimated field that lives in a finer scale than any of the measurements. We apply a Wavelet Transform that increases speed and decreases memory requirements by sparsifying and preconditioning the statistics. This approach makes feasible the use of reprogrammable FPGA implementations for onboard satellite data processing, which greatly enhances flexibility and, most importantly, reduces communication burdens by limiting the extent to which raw, unprocessed data are transmitted to the ground.
Keywords :
atmospheric techniques; geophysical signal processing; geophysical techniques; oceanographic techniques; sensor fusion; terrain mapping; wavelet transforms; 19 to 85.5 GHz; EHF; SHF; SSM/I; Special Sensor Microwave/Imager; atmosphere; geophysical measurement technique; image fusion; land surface; meteorology; microwave radiometry; multiresolution wavelet transform; ocean; preconditioning; prior statistical information; satellite remote sensing; sea surface; sensor fusion; sparsifying; statistics; terrain mapping; Artificial satellites; Field programmable gate arrays; Frequency; Image sensors; Least squares approximation; Polarization; Satellite broadcasting; Sea measurements; Spatial resolution; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
Type :
conf
DOI :
10.1109/IGARSS.2002.1026564
Filename :
1026564
Link To Document :
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