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Planemos / Planetary geology / Face detection / Mars / Planetary science / Astronomy / Moons


Detection of Sub-Kilometer Craters in High Resolution Planetary Images Using Shape and Texture Features
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Document Date: 2011-09-05 11:14:04


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File Size: 1,38 MB

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City

Lisboa / Boston / /

Country

Portugal / /

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Facility

University of Massachusetts Boston / College of Science / Open Computer Vision library / University of Cincinnati / /

IndustryTerm

paramount tool / crater detections algorithms / test site / hybrid algorithm / possible algorithms / signal processing / shape processing / exhaustive search / Texture feature extraction algorithms / crater detection algorithms / learning algorithm / /

NaturalFeature

Abstract Counting craters / Sub-Kilometer Craters / /

Organization

University of Massachusetts Boston / Wei Ding Department of Computer Science / College of Science / USA Tomasz F. Stepinski Department of Geography / University of Cincinnati / Cincinnati / Instituto Superior Tecnico / High Resolution Planetary Images Using Shape and Texture Features Louren¸co Bandeira∗ Centre for Natural Resources and the Environment / /

Person

Wei Ding / Tomasz F. Stepinski / /

Position

non∗ Corresponding author / /

ProvinceOrState

Ohio / Massachusetts / /

Technology

Texture feature extraction algorithms / crater detection algorithms / shape-based algorithm / boosting algorithm / Existing algorithms / AdaBoost learning algorithm / machine learning / crater detections algorithms / dedicated algorithm / PDF / texture-based algorithm / designing crater detection algorithms / /

URL

http /

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