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toledo1301616331.pdf (1.82 MB)
ETD Abstract Container
Abstract Header
Extraction of Linear Features Based on Beamlet Transform
Author Info
Zhu, Yuan
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1301616331
Abstract Details
Year and Degree
2011, Master of Science, University of Toledo, Electrical Engineering.
Abstract
Over the past few decades, Synthetic Aperture Radar (SAR) images have been widely used to estimate the various features on the ground. As SAR is a radar system, its images are degraded by noise which limits the application of SAR images. Therefore, extracting features from SAR images with noise is an important issue. The goal of this thesis is to develop and implement a beamlet based method to extract the linear features from Synthetic Aperture Radar images with noise and a low signal-to-noise ratio (SNR). The basic concept of beamlet analysis is to approximate the linear objects by line segments called beamlets. Beamlet analysis performs well in a noisy environment; therefore, a beamlet based algorithm for linear feature extraction is proposed in this thesis. The proposed method uses digital image pre-processing techniques to offset the noise and low-contrast problems and to recalculate pixel values. Linear features such as a road network are then extracted by applying the beamlet transform based algorithm. The algorithm recursively partitions the image into sub-squares to build a beamlet dictionary to perform the transform. The complete linear features are then obtained with the post-processing algorithm to link the discontinuities. Experimental results have demonstrated the effectiveness of this method.
Committee
Ezzatollah Salari (Committee Chair)
Junghwan Kim (Committee Member)
Jackson Carvalho (Committee Member)
Subject Headings
Electrical Engineering
Keywords
Beamlet transform
;
linear features
;
SAR image
;
Canny's edge detection
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Citations
Zhu, Y. (2011).
Extraction of Linear Features Based on Beamlet Transform
[Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1301616331
APA Style (7th edition)
Zhu, Yuan.
Extraction of Linear Features Based on Beamlet Transform.
2011. University of Toledo, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1301616331.
MLA Style (8th edition)
Zhu, Yuan. "Extraction of Linear Features Based on Beamlet Transform." Master's thesis, University of Toledo, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1301616331
Chicago Manual of Style (17th edition)
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Document number:
toledo1301616331
Download Count:
1,011
Copyright Info
© 2011, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.