Publikationsansicht

A Self-organizing Principle for Segmenting and Super-resolving ISAR Images (2007)

Abstract
We present and illustrate the use of a bottleneck system for the segmentation and super-resolution of ISAR targets. The system is shown to be comprised of three basic subsystems: a compressing transformation, a bottleneck processor, and a decompressing transformation. We describe each subsystem and discuss the processing responsible for segmentation and super-resolution within this framework. Results using this network are assessed and issues regarding performance are introduced. 1.

Details der Publikation
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.20.8346
Quelle http://www.cnel.ufl.edu/bib/pdf_papers/candocia_iuw97.pdf
Mitarbeiter CiteSeerX
Archiv CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Typ text
Sprache Englisch
Verknüpfungen 10.1.1.18.5139