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
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;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2001.914582
