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Mitigation of window effects in inve...

Gunnala, Suman Kumar Reddy.

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Mitigation of window effects in inverse synthetic aperture radar (ISAR) imagery using multi-resolution technique.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mitigation of window effects in inverse synthetic aperture radar (ISAR) imagery using multi-resolution technique./
Author:	Gunnala, Suman Kumar Reddy.
Description:	62 p.
Notes:	Adviser: Saibun Tjuatja.
Contained By:	Masters Abstracts International44-06.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1435977
ISBN:	9780542723278

Mitigation of window effects in inverse synthetic aperture radar (ISAR) imagery using multi-resolution technique.
Gunnala, Suman Kumar Reddy.

Mitigation of window effects in inverse synthetic aperture radar (ISAR) imagery using multi-resolution technique. - 62 p.

Adviser: Saibun Tjuatja.

Thesis (M.S.)--The University of Texas at Arlington, 2006.

A method using Multi-Resolution technique for window effect mitigation in ISAR imagery, which occurs due to finite extent data, is presented in this work. Proposed method is supported with quantitative measure using both Structural Similarity (SSIM) and Mean Square Error (MSE). In addition, above index measures were used to determine the best choice of wavelet basis for window effect mitigation. Complete angular window and partial angular window are used as two cases to demonstrate the validation of above contributions. Scattering measurements of different test sets were done to validate the approach. Results which include reconstructed images and quantitative index measures are provided to support the approach.

ISBN: 9780542723278Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Mitigation of window effects in inverse synthetic aperture radar (ISAR) imagery using multi-resolution technique.
LDR:01625nam 2200277 a 45 001 974027
005 20110928
008 110928s2006 eng d
020 $a 9780542723278
035 $a (UMI)AAI1435977
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040 $a UMI $c UMI
100 1 $a Gunnala, Suman Kumar Reddy. $3 1297966
245 1 0 $a Mitigation of window effects in inverse synthetic aperture radar (ISAR) imagery using multi-resolution technique.
300 $a 62 p.
500 $a Adviser: Saibun Tjuatja.
500 $a Source: Masters Abstracts International, Volume: 44-06, page: 2914.
502 $a Thesis (M.S.)--The University of Texas at Arlington, 2006.
520 $a A method using Multi-Resolution technique for window effect mitigation in ISAR imagery, which occurs due to finite extent data, is presented in this work. Proposed method is supported with quantitative measure using both Structural Similarity (SSIM) and Mean Square Error (MSE). In addition, above index measures were used to determine the best choice of wavelet basis for window effect mitigation. Complete angular window and partial angular window are used as two cases to demonstrate the validation of above contributions. Scattering measurements of different test sets were done to validate the approach. Results which include reconstructed images and quantitative index measures are provided to support the approach.
590 $a School code: 2502.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Remote Sensing. $3 1018559
690 $a 0544
690 $a 0799
710 2 $a The University of Texas at Arlington. $3 1025869
773 0 $t Masters Abstracts International $g 44-06.
790 $a 2502
790 1 0 $a Tjuatja, Saibun, $e advisor
791 $a M.S.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1435977