## Abstract Maximum likelihood (ML) list‐mode expectation maximization (EM) reconstruction for positron emission tomography (PET) permits all acquired information to be used directly in the reconstruction process without preprocessing. This feature is particularly useful for high spatial and tempor
High-resolution radar image reconstruction based on genetic algorithms
✍ Scribed by Chunyang Yu; Deyuan Gao
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 104 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0895-2477
No coin nor oath required. For personal study only.
✦ Synopsis
The nonlinear model-fitting scheme is used for high-resolution radar imaging under the assumption that the objects consist of point scatters; genetic algorithms are then applied for the minimization of the fitting error. Numerical results of the method are compared with those of the Powell method to show their superiority.
📜 SIMILAR VOLUMES
## Abstract In this letter, we compare the experimental performance of data‐extrapolation algorithms for high‐resolution radar imaging. The three methods considered in this paper are based on the autoregressive (AR) model, including the Burg method, the modified covariance method, and the modified
A method of crystal structure determination by electron crystallographic image processing based on the combination of high-resolution electron microscopy (HREM) and electron diffraction is introduced. It consists of two stages: image deconvolution and resolution enhancement. In the first stage an i
## Abstract Computer‐based visualization of large tissue volumes with high resolution based on composing series of high‐resolution confocal images is presented. GlueMRC and LinkMRC programs are introduced, implementing composition of overlapping series of optical sections captured by a confocal mic