Abstract:
We formulate the spotlight-mode synthetic aperture radar (SAR) imaging problem as a maximum a posteriori (MAP) estimation problem. Our statistical perspective offers an a...Show MoreMetadata
Abstract:
We formulate the spotlight-mode synthetic aperture radar (SAR) imaging problem as a maximum a posteriori (MAP) estimation problem. Our statistical perspective offers an alternative to standard SAR processing techniques by incorporating prior knowledge about either the data quality or the underlying reflectivity function. In our formulation we consider exploiting the similarity between computer assisted tomography (CAT) and spotlight-mode SAR, which was first exposed by Munson et al. (1983). We present the effectiveness of the proposed approach by imagery formed from simulated spotlight-mode SAR data.
Date of Conference: 26-29 October 1997
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-8186-8183-7
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- SAR Data ,
- High-resolution ,
- Signal-to-noise ,
- Low-pass ,
- Fast Fourier Transform ,
- Image Reconstruction ,
- Image Formation ,
- Observation Points ,
- Range Resolution ,
- Projection Operator ,
- Posterior Mode ,
- Flight Path ,
- Point Target ,
- SAR Images ,
- Filtered Back Projection ,
- Chirp Signal ,
- Unknown Field ,
- Filtered Back-projection Algorithm
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- SAR Data ,
- High-resolution ,
- Signal-to-noise ,
- Low-pass ,
- Fast Fourier Transform ,
- Image Reconstruction ,
- Image Formation ,
- Observation Points ,
- Range Resolution ,
- Projection Operator ,
- Posterior Mode ,
- Flight Path ,
- Point Target ,
- SAR Images ,
- Filtered Back Projection ,
- Chirp Signal ,
- Unknown Field ,
- Filtered Back-projection Algorithm