DocumentCode :
1158550
Title :
Airborne SAR processing of highly squinted data using a chirp scaling approach with integrated motion compensation
Author :
Moreira, Alberto ; Huang, Yonghong
Author_Institution :
Inst. for Radio Frequency Technol., German Aerosp. Res. Establ., Oberpfaffenhofen, Germany
Volume :
32
Issue :
5
fYear :
1994
fDate :
9/1/1994 12:00:00 AM
Firstpage :
1029
Lastpage :
1040
Abstract :
Proposes a new approach for high-resolution airborne SAR data processing, which uses a modified chirp scaling algorithm to accommodate the correction of motion errors, as well as the variations of the Doppler centroid in range and azimuth. By introducing a cubic phase term in the chirp scaling phase, data acquired with a squint angle up to 30° can be processed with no degradation of the impulse response function. The proposed approach is computationally very efficient, since it accommodates the variations of Doppler centroid without using block processing. Furthermore, a motion error extraction algorithm can be incorporated into the proposed approach by means of subaperture processing in azimuth. The new approach, denoted as extended chirp scaling, is considered to be a generalized algorithm suitable for the high-resolution processing of most airborne SAR systems
Keywords :
geophysical techniques; geophysics computing; motion estimation; remote sensing by radar; synthetic aperture radar; Doppler centroid; SAR imaging; airborne SAR; chirp scaling algorithm; cubic phase term; data processing; extended chirp scaling; geophysical measurement technique; highly squinted data; image processing; impulse response function; integrated motion compensation; land surface; motion error correction; radar remote sensing; signal processing; subaperture processing; synthetic aperture radar; terrain mapping; Azimuth; Chirp modulation; Frequency domain analysis; Frequency modulation; Image coding; Interpolation; Polarization; Pulse modulation; Signal processing; Time domain analysis;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.312891
Filename :
312891
Link To Document :
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