Title :
Spatial resolution enhancement of SSM/I data
Author :
Long, David G. ; Daum, Douglas L.
Author_Institution :
Brigham Young Univ., Provo, UT, USA
fDate :
3/1/1998 12:00:00 AM
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
Keywords :
geophysical signal processing; geophysical techniques; image enhancement; image resolution; radiometry; remote sensing; Backus-Gilbert inversion; EHF; SHF; SSM/I; Special Sensor Microwave/Imager; algorithm; geophysical measurement technique; image enhancement; image processing; image resolution; land surface; measurement technique; microwave radiometry; mm wave; remote sensing; scatterometer image-reconstruction algorithm; spatial resolution enhancement; terrain mapping; vegetation mapping; Antenna measurements; Atmospheric measurements; Brightness; Directive antennas; Ice; Image resolution; Radar measurements; Radiometers; Spatial resolution; Vegetation;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
