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Synthetic Aperture Radar Target Detection%2c Feature Extraction%2c And Image Formation Techniques by Chien Li
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1NASA Technical Reports Server (NTRS) 19950011236: Synthetic Aperture Radar Target Detection, Feature Extraction, And Image Formation Techniques
By NASA Technical Reports Server (NTRS)
This report presents new algorithms for target detection, feature extraction, and image formation with the synthetic aperture radar (SAR) technology. For target detection, we consider target detection with SAR and coherent subtraction. We also study how the image false alarm rates are related to the target template false alarm rates when target templates are used for target detection. For feature extraction from SAR images, we present a computationally efficient eigenstructure-based 2D-MODE algorithm for two-dimensional frequency estimation. For SAR image formation, we present a robust parametric data model for estimating high resolution range signatures of radar targets and for forming high resolution SAR images.
“NASA Technical Reports Server (NTRS) 19950011236: Synthetic Aperture Radar Target Detection, Feature Extraction, And Image Formation Techniques” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 19950011236: Synthetic Aperture Radar Target Detection, Feature Extraction, And Image Formation Techniques
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19950011236: Synthetic Aperture Radar Target Detection, Feature Extraction, And Image Formation Techniques” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - PATTERN RECOGNITION - RADAR IMAGERY - RADAR SIGNATURES - SYNTHETIC APERTURE RADAR - TARGET ACQUISITION - ALGORITHMS - FALSE ALARMS - HIGH RESOLUTION - RADAR TARGETS - RADAR TRACKING - TARGET RECOGNITION - Li, Jian
Edition Identifiers:
- Internet Archive ID: NASA_NTRS_Archive_19950011236
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The book is available for download in "texts" format, the size of the file-s is: 95.34 Mbs, the file-s for this book were downloaded 65 times, the file-s went public at Sat Oct 08 2016.
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