DocumentCode
3563695
Title
SAR image segmentation algorithms: Performance comparison and improvement proposals
Author
Fombellida, Juan ; Melgar, Ignacio ; Gome, Jaime ; Andina, Diego
Author_Institution
Sener Ing. y Sist.
fYear
2008
Firstpage
1
Lastpage
6
Abstract
Several SAR image segmentation algorithms, also known as extended target detection algorithms are studied and the results are compared. The schemata obtained are evaluated using criteria based on the similarity with visual segmentation of the image, and the computational resources used in the process. Finally, based in the algorithms studied some supplementary techniques are proposed in order to improve the segmentation results or the computational cost.
Keywords
image segmentation; object detection; radar imaging; synthetic aperture radar; target tracking; SAR image segmentation algorithms; extended target detection algorithms; synthetic aperture radar; Cost function; Image segmentation; Merging; Neural networks; Object detection; Pixel; Proposals; Speckle; Statistical distributions; Subspace constraints; Synthetic Aperture Radar; fuzzy ART; segmentation; speckle; statistic distribution; watershed; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Congress, 2008. WAC 2008. World
Print_ISBN
978-1-889335-38-4
Electronic_ISBN
978-1-889335-37-7
Type
conf
Filename
4699053
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