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Texture / Segmentation / Scientific method / Science / Chemistry / 3D computer graphics / Texture synthesis / Image processing


OPEN-ENDED TEXTURE CLASSIFICATION FOR TERRAIN MAPPING Rupert Paget and I. Dennis Longstaff Cooperative Research Centre for Sensor, Signal, and Information Processing Department of Electrical Engineering and Computer Scie
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Document Date: 2009-01-20 17:59:18

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File Size: 338,22 KB

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City

DSTO / London / Boston / /

Company

World Scientific / Surveillance Research Laboratory / Smith System Engineering Ltd / P. S. P. / Computer Vision Group / Modeling Group / /

Country

Australia / United Kingdom / Singapore / /

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Facility

University Bonn / University of Queensland / Computer Science University of Queensland / /

IndustryTerm

classification algorithm / texture classification algorithm / /

Organization

I. Dennis Longstaff Cooperative Research Centre for Sensor / MIT Media Lab / International Congress / University of Queensland / Committee on Earth Observation Satellites / Sensor / Signal / and Information Processing Department of Electrical Engineering / Microwave Radar Division / European Space Agency / Pattern Analysis and Machine Intelligence / /

Person

Dennis Longstaff / Rupert Paget / /

Position

representative / representative model for natural textures / /

ProvinceOrState

Queensland / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / /

Technology

Microwave / classification algorithm / texture classification algorithm / Image Processing / /

URL

http /

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