Information assessment of SAR data for ATR

Author

Blasch, Capt Erik P ; Bryant, Mike

Author_Institution

Inst. of Technol., Wright-Patterson AFB, OH, USA

fYear

1998

fDate

13-17 Jul 1998

Firstpage

414

Lastpage

419

Abstract

Without successful adaptive multisensor fusion or online registration techniques, automatic target recognition (ATR) algorithms are prone to poor object classifications. Multisensor fusion for a given situation assessment includes identifying measurement information for task completion and reducing image uncertainty in the presence of clutter. By extracting synthetic aperture radar (SAR) image informational features, image registration and target classification is achievable. This paper examines SAR information-theoretic features for a target orientation and proposes a method for target classification

Keywords

feature extraction; image recognition; military computing; radar clutter; radar tracking; sensor fusion; synthetic aperture radar; target tracking; ATR; SAR data; adaptive multisensor fusion; automatic target recognition algorithms; clutter; image informational features; image registration; image uncertainty; information-theoretic features; invariant feature detection; multisensor fusion; object classifications; online registration; situation assessment; synthetic aperture radar; target classification; target orientation; task completion; Aerospace electronics; Clutter; Image registration; Image sensors; Object recognition; Radar detection; Radar tracking; Sensor phenomena and characterization; Synthetic aperture radar; Target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1998. NAECON 1998. Proceedings of the IEEE 1998 National

Conference_Location

Dayton, OH

ISSN

0547-3578

Print_ISBN

0-7803-4449-9

Type

conf

DOI

10.1109/NAECON.1998.710144

Filename

710144