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Wavelets And Statistics by Anestis Antoniadis
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1DTIC ADA321080: Use Of Wavelets To Extract Higher Order Statistics For Separation Of Targets And Clutter.
By Defense Technical Information Center
Summarizes work performed in 1995 by McDonnell Douglas Aerospace on a contract under the ARPA University-Industry ATR Initiative. The focus is on an investigation into the use of wavelets to extract higher order statistics for separation of targets from clutter in sensor imagery.
“DTIC ADA321080: Use Of Wavelets To Extract Higher Order Statistics For Separation Of Targets And Clutter.” Metadata:
- Title: ➤ DTIC ADA321080: Use Of Wavelets To Extract Higher Order Statistics For Separation Of Targets And Clutter.
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA321080: Use Of Wavelets To Extract Higher Order Statistics For Separation Of Targets And Clutter.” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Meany, James - MCDONNELL DOUGLAS AEROSPACE ST LOUIS MO - *IMAGE PROCESSING - *TARGET RECOGNITION - ALGORITHMS - FORWARD LOOKING INFRARED SYSTEMS - MAXIMUM LIKELIHOOD ESTIMATION - PROBABILITY DENSITY FUNCTIONS - INFRARED IMAGES - PATTERN RECOGNITION - ORDER STATISTICS - WAVELET TRANSFORMS.
Edition Identifiers:
- Internet Archive ID: DTIC_ADA321080
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 20.65 Mbs, the file-s for this book were downloaded 69 times, the file-s went public at Wed Apr 04 2018.
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