Multi-targets miss distance measurement based on a sequence of image processing techniques

Shujuan Hou*, Siliang Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Multi-targets miss distance measurement is studied in this paper based on a sequence of image processing techniques. Firstly, echoes from multi-targets are represented as a gray image with spectral intensity as its gray values by time-frequency transform. Then an adaptive threshold based on constant false alarm rate (CFAR) detection is devised to convert the gray image into a binary image. Further, a set of morphological operations is used to remove background noise from the binary image. Finally, miss distance parameters of multi-targets are obtained based on randomized Hough transform (RHT). The experimental results show the efficiency of proposed method.

Original languageEnglish
Title of host publication8th International Conference on Signal Processing, ICSP 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)0780397371, 9780780397378
DOIs
Publication statusPublished - 2006
Event8th International Conference on Signal Processing, ICSP 2006 - Guilin, China
Duration: 16 Nov 200620 Nov 2006

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume2

Conference

Conference8th International Conference on Signal Processing, ICSP 2006
Country/TerritoryChina
CityGuilin
Period16/11/0620/11/06

Fingerprint

Dive into the research topics of 'Multi-targets miss distance measurement based on a sequence of image processing techniques'. Together they form a unique fingerprint.

Cite this