Satellite Image Analysis: Clustering and Classification (Record no. 77904)

000 -LEADER
fixed length control field 03435nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-981-13-6424-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801215827.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190208s2019 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811364242
-- 978-981-13-6424-2
082 04 - CLASSIFICATION NUMBER
Call Number 621.382
100 1# - AUTHOR NAME
Author Borra, Surekha.
245 10 - TITLE STATEMENT
Title Satellite Image Analysis: Clustering and Classification
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVI, 97 p. 53 illus., 22 illus. in color.
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Computational Intelligence,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Preface -- Introduction -- Image Pre-processing Techniques -- Satellite Image Clustering -- Satellite Image Classification -- Applied Examples -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc 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. This book introduces readers to key concepts, methods and models for satellite image analysis; highlights state-of-the-art classification and clustering techniques; discusses recent developments and remaining challenges; and addresses various applications, making it a valuable asset for engineers, data analysts and researchers in the fields of geographic information systems and remote sensing engineering.
700 1# - AUTHOR 2
Author 2 Thanki, Rohit.
700 1# - AUTHOR 2
Author 2 Dey, Nilanjan.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-13-6424-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2019.
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-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
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-- rdacarrier
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Telecommunication.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer vision.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing .
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Communications Engineering, Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Vision.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2625-3712
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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