Detection of spot target in infrared clutter with morphological filter

Author

Jicheng, Li ; ZhengKang, Shen ; Tao, Lan

Author_Institution

Dept. of Electron. Eng., Nat. Univ. of Defense Tech., Hunan, China

Volume

1

fYear

1996

fDate

20-23 May 1996

Firstpage

168

Abstract

The morphological filters are a class of nonlinear signal processing algorithms, which have been applied extensively to computer vision, image processing, and more recently target detection. This paper presents a morphology-based algorithm for spot target detection in IR clutter. The algorithm utilizes a prior knowledge of target size to suppress background clutter and remove noise. The experimental results show that the approach can detect spot target in the presence of clutter for low signal-to-noise ratio (SNR). The probability of detection and false alarm is presented as ROC curves for sky, ground and sea clutter background

Keywords

clutter; filtering theory; optical tracking; target tracking; IR clutter; IR tracking; ROC curves; background clutter; detection probability; false alarm; ground clutter; infrared clutter; morphological filter; nonlinear signal processing algorithms; sea clutter; signal-to-noise ratio; sky clutter; spot target; target detection; target size; Algorithm design and analysis; Background noise; Computer vision; Filtering theory; Filters; Image processing; Infrared detectors; Object detection; Signal processing algorithms; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1996. NAECON 1996., Proceedings of the IEEE 1996 National

Conference_Location

Dayton, OH

ISSN

0547-3578

Print_ISBN

0-7803-3306-3

Type

conf

DOI

10.1109/NAECON.1996.517633

Filename

517633