Electronic Resource

Satellite Image Analysis: Clustering and Classification

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Penilaian

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Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise. In turn, satellite images play a vital role in providing essential geographical information. Highly accurate automatic classification and decision support systems can facilitate the efforts of data analysts, reduce human error, and allow the rapid and rigorous analysis of land use and land cover information. Integrating Machine Learning (ML) technology with the human visual psychometric can help meet geologists’ demands for more efficient and higher-quality classification in real time.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001764	EB0002393	621.367 8 Bor s	Central Library	Available

Detail Information

Series Title

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Call Number

621.367 8 Bor s

Publisher

Singapore : Springer Singapore., 2019

Collation

XVI, 97p.:Ill

Language

English

ISBN/ISSN

978-981-13-6424-2

Classification

621.367 8

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Remote-sensing images

Specific Detail Info

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Statement of Responsibility

BRF

Other version/related

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