Paper
21 December 2000 New algorithm for processing hybrid strip-map/spotlight-mode synthetic aperture radar data
Gianfranco Fornaro, Riccardo Lanari, Eugenio Sansosti, F. Serafino, Simona Zoffoli
Author Affiliations +
Abstract
We present a new algorithm for processing hybrid strip-map/spotlight SAR data which is based on a two-step focusing strategy. The first step performs an azimuth raw data filtering operation implemented via the (azimuth) convolution between the SAR data and a chirp signal with a properly chosen constant chirp rate. Following this step, the spectral folding of the azimuth raw signal spectrum is resolved and the space-variant characteristics of the system transfer function are preserved. Therefore, we can achieve the full focusing of the data by a conventional strip-map processing step implemented in frequency domain and requiring only a minor modification. The proposed algorithm is simple, efficient and has the unique feature of being suitable for processing strip-map, spotlight and hybrid strip-map/spotlight mode, the first two being particular cases of the more general last one. The presented experiments are carried out on simulated data relative to the COSMO/SkyMed sensors operating in the hybrid strip- map/spotlight mode; these results clarify the rationale of the proposed approach and confirm its validity.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gianfranco Fornaro, Riccardo Lanari, Eugenio Sansosti, F. Serafino, and Simona Zoffoli "New algorithm for processing hybrid strip-map/spotlight-mode synthetic aperture radar data", Proc. SPIE 4173, SAR Image Analysis, Modeling, and Techniques III, (21 December 2000); https://doi.org/10.1117/12.410667
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Synthetic aperture radar

Sensors

Antennas

Data acquisition

Signal processing

Argon

Image processing

Back to Top