DocumentCode
1744241
Title
High resolution sensing and anisotropic segmentation for SAR imagery
Author
Georgiou, Tryphon T. ; Tannenbaum, Allen
Author_Institution
Dept. of Electr. & Comput. Eng., Minnesota Univ., MN, USA
Volume
5
fYear
2000
fDate
2000
Firstpage
4324
Abstract
The purpose of the paper is to introduce new methodologies for high resolution image processing and knowledge-based segmentation for SAR imagery. These techniques could also have a major impact on problems in radar and remote sensing where modern mathematical tools and optimization techniques are likely to advance significantly the current state of the art
Keywords
image segmentation; radar imaging; remote sensing by radar; synthetic aperture radar; SAR imagery; anisotropic segmentation; high resolution image processing; high resolution sensing; knowledge-based segmentation; modern mathematical tools; optimization techniques; Anisotropic magnetoresistance; Image analysis; Image resolution; Image segmentation; Light scattering; Magnetic separation; Radar scattering; Sensor arrays; Spectral analysis; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location
Sydney, NSW
ISSN
0191-2216
Print_ISBN
0-7803-6638-7
Type
conf
DOI
10.1109/CDC.2001.914582
Filename
914582
Link To Document