Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Improved Multi-Dimensional Hough Transform as a Track-Before-Detect Method
Date
2014-04-25
Author
Sahin, Gozde
Demirekler, Mübeccel
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
170
views
0
downloads
Cite This
This study proposes an improved Multi-Dimensional Hough Transform technique for the detection of low SNR targets (dim targets) in radar data. The proposed Track-Before-Detect technique improves the Multi-Dimensional Hough Transform by limiting the target's maximum velocity and incorporating the SNR values of the targets in the algorithm. In addition, the performance is enhanced by confirming the Hough Transform results with a score-based confirmation algorithm.
Subject Keywords
Track-before-detect
,
Hough transform
,
Multi-dimensional Hough transform
,
Score-based track confirmation
URI
https://hdl.handle.net/11511/52679
Collections
Graduate School of Natural and Applied Sciences, Conference / Seminar
Suggestions
OpenMETU
Core
A Multi-Dimensional Hough Transform Algorithm Based on Unscented Transform as a Track-Before-Detect Method
Sahin, Gozde; Demirekler, Mübeccel (2014-07-10)
In this study, a new Multi-Dimensional Hough Transform technique is proposed for the detection of dim targets in radar data. Multi-Dimensional Hough Transform is a Track-Before-Detect method that fuses Hough Transform results obtained on (x-t), (y-t) and (x-y) domains. The proposed study models Hough Transform results in (x-t) and (y-t) domains by Gaussians and transforms these Gaussians to (x-y) domain using Unscented Transform. This improves the computational efficiency significantly without degrading per...
Detection of the Weak Targets by Using Multi Dimensional Hough Transform Based Track Before Detect Algorithm
Turhan, Hasan Ihsan; Demirekler, Mübeccel (2016-05-19)
This study proposes a multi-dimensional Hough transform algorithm that is improved from [1] by detecting weak targets in the high clutter. In the proposed algorithm execution time is reduced by eliminating the measurements considering speed and SNR values before the Hough transform. The skor-based track confirmation algorithm proposed in [1] is improved and tracks that belong to same target are eliminated. The proposed algorithm is tested with real data and results are presented.
Robust Automatic Target Recognition in FLIR imagery
Soyman, Yusuf (2012-04-24)
In this paper, a robust automatic target recognition algorithm in FLIR imagery is proposed. Target is first segmented out from the background using wavelet transform. Segmentation process is accomplished by parametric Gabor wavelet transformation. Invariant features that belong to the target, which is segmented out from the background, are then extracted via moments. Higher-order moments, while providing better quality for identifying the image, are more sensitive to noise. A trade-off study is then perform...
Apertureless scanning near field optical microscope with sub-10 nm resolution
Bek, Alpan; KERN, KLAUS (AIP Publishing, 2006-04-01)
We report on the implementation of a versatile dynamic mode apertureless scanning near field optical microscope (aSNOM) for nanoscopic investigations of optical properties at surfaces and interfaces. The newly developed modular aSNOM optomechanical unit is essentially integrable with a multitude of laser sources, homemade scanning probe microscopes (SPMs) as well as commercially available SPMs as demonstrated here. The instrument is especially designed to image opaque surfaces without a restriction to trans...
INVESTIGATION OF RANGE MIGRATION COMPENSATION IN RADAR DETECTION
ÇULHA, ONUR; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2022-9-1)
In this study, range migration compensation methods in radar detection are examined from two different aspects: proposing novel methods to compromise between computational complexity and detection performance, and investigating range migration compensation under clutter and target fluctuation. We proposed a low complexity implementation of repetitive chirp-z transform (CZT) in order to be employed in Keystone transform and Radon Fourier transform with no loss in performance. Another efficient method has bee...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
G. Sahin and M. Demirekler, “Improved Multi-Dimensional Hough Transform as a Track-Before-Detect Method,” 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52679.