Spatial resolution enhancement of SSM/I data

Author

Long, David G. ; Daum, Douglas L.

Author_Institution

Brigham Young Univ., Provo, UT, USA

Volume

36

Issue

2

fYear

1998

fDate

3/1/1998 12:00:00 AM

Firstpage

407

Lastpage

417

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;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.662726

Filename

662726