SAR image enhancement for small target detection

Author

Zhang, Jingxin ; Schroeder, Jim ; Redding, Nicholas J.

Author_Institution

Sch. of Eng. & Technol., Deakin Univ., Geelong, Vic., Australia

Volume

3

fYear

2003

fDate

6-10 April 2003

Abstract

The paper investigates the impact of SAR image enhancement on the performance of small target detection in SAR images. Three SAR image enhancement algorithms are evaluated on large SAR image data-sets. The evaluation results show that image enhancement can greatly improve the performance of false alarm mitigation, and that the level of performance improvement is correlated with the resolution and background suppression of the enhanced images. The higher the resolution and the level of background suppression, the higher the level of performance improvement.

Keywords

image enhancement; interference suppression; object detection; radar detection; radar imaging; radar resolution; signal classification; synthetic aperture radar; MUSIC algorithm; SAR image enhancement; background suppression; false alarm mitigation; minimum variance algorithm; multi-look processing algorithm; multiple signal classification algorithm; resolution; small target detection; speckle reduction; Australia; History; Image enhancement; Image resolution; Layout; Multiple signal classification; Object detection; Signal resolution; Speckle; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1199508

Filename

1199508