Title :
Radiometric calibration of airborne SAR imagery
Author :
Holecz, Francesco ; Meier, Erich ; Piesbergen, Jens ; Wegmüller, Urs ; Nüesch, Daniel
Author_Institution :
Remote Sensing Labs., Zurich Univ., Switzerland
Abstract :
A method to compute a fully calibrated airborne synthetic aperture radar (SAR) image is presented. In a first step the data is processed taking motion compensation errors into account by using the reflectivity displacement method (RDM). This paper focuses on the second step, namely the rigorous determination of the backscattering coefficient σ0 and γ. To determine the exact local area and the local incidence angle, high precision flight path data, a high resolution digital elevation model (DEM), as well as sensor and processor characteristics need to be considered. Radiometric distortions due to the antenna diagram, to the reciprocal value of the third power of the slant range, and to the sine of the local incidence angle are also corrected, by taking into account aircraft displacements and terrain height variations. Magnitude data of the E-SAR system of the German Aerospace Research Establishment (DLR) collected over a hilly region in Switzerland are used to demonstrate the calibration technique.
Keywords :
airborne radar; backscatter; calibration; geophysical techniques; motion compensation; radar applications; radar cross-sections; radar imaging; remote sensing by radar; synthetic aperture radar; SAR method; SLAR; airborne SAR imagery; antenna diagram; backscattering coefficient; calibration; geophysical measurement technique; high resolution digital elevation model; land surface terrain mapping; local incidence angle; motion compensation error; radar imaging; radar scattering; radiometric calibration; radiometric distortion; reciprocal value; side looking airborne radar; slant range; synthetic aperture radar; third power; Aircraft; Backscatter; Calibration; Data mining; Digital elevation models; Motion compensation; Radar cross section; Radar imaging; Radiometry; Reflectivity; Sensor phenomena and characterization; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399354