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Efficient Algorithms for Large-Scale Image Analysis

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This work develops highly efficient algorithms for analyzing large images. Applications include object-based change detection and screening. The algorithms are 10-100 times as fast as existing software, sometimes even outperforming FGPA/GPU hardware, because they are designed to suit the computer architecture. This thesis describes the implementation details and the underlying algorithm engineering methodology, so that both may also be applied to other applications.

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No copy data

Detail Information

Series Title

-

Call Number

003 WAS e

Publisher

: KIT Scientific Publishing., 2012

Collation

-

Language

English

ISBN/ISSN

978-3-86644-786-8

Classification

003

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Computer Science

Specific Detail Info

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Statement of Responsibility

Jan Wassenberg

Other Information

Cataloger

Kurnadi

Source

-

Validator

maya

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