geophysical signal processing, geophysical techniques, image enhancement, image resolution, radiometry, remote sensing
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.
Original Publication Citation
Long, D. G., and D. L. Daum. "Spatial Resolution Enhancement of SSM/I Data." Geoscience and Remote Sensing, IEEE Transactions on 36.2 (1998): 47-17
BYU ScholarsArchive Citation
Long, David G. and Daum, Douglas L., "Spatial resolution enhancement of SSM/I data" (1998). Faculty Publications. 647.
Ira A. Fulton College of Engineering and Technology
Electrical and Computer Engineering
© 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information