๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Target detection for very high-frequency synthetic aperture radar ground surveillance

โœ Scribed by Ye, W.; Paulson, C.; Wu, D.


Book ID
114443103
Publisher
The Institution of Engineering and Technology
Year
2012
Tongue
English
Weight
642 KB
Volume
6
Category
Article
ISSN
1751-9632

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Comparison of Selected Features for Targ
โœ Tristrom Cooke; Nicholas J. Redding; Jim Schroeder; Jingxin Zhang ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 148 KB

Several methods are available that capture the statistics of radar imagery. The best features, in the sense of man-made target discrimination, are expected to be different for different types of natural background and for different objects of interest such as vehicles. We demonstrate that discrimina

Multiscale Models for Target Detection a
โœ David Howard; Jim Schroeder ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 96 KB

Multiscale models can be used to capture the scale-dependent behavior of the statistics in radar imagery. This behavior is expected to be different for natural background compared to objects of interest such as vehicles. We demonstrate that multiscale autoregressive models can discriminate between s