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Two-Dimensional Change Detection Methods (Record no. 21141)

000 -LEADER
fixed length control field 02709nam a22004575i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151111.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120621s2012 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781447142553
978-1-4471-4255-3
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1637-1638
Classification number TA1637-1638
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.6
Edition number 23
Classification number 006.37
Edition number 23
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2012.
912 ## -
-- ZDB-2-SCS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name İlsever, Murat.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Two-Dimensional Change Detection Methods
Medium [electronic resource] :
Remainder of title Remote Sensing Applications /
Statement of responsibility, etc by Murat İlsever, Cem Ünsalan.
300 ## - PHYSICAL DESCRIPTION
Extent X, 72 p. 48 illus., 22 illus. in color.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title SpringerBriefs in Computer Science,
International Standard Serial Number 2191-5768
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Pixel-Based Change Detection Methods -- Transformation-Based Change Detection Methods -- Structure-Based Change Detection Methods -- Fusion of Change Detection Methods -- Experiments -- Final Comments.
520 ## - SUMMARY, ETC.
Summary, etc Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. The latter two methods form the basis for a structural analysis of change detection. Three thresholding algorithms are compared, and their effects on the performance of change detection methods are measured. These tests on existing and novel change detection methods make use of a total of 35 panchromatic and multi-spectral Ikonos image sets. Quantitative test results and their interpretations are provided.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Computer vision.
Topical term or geographic name as entry element Optical pattern recognition.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Image Processing and Computer Vision.
Topical term or geographic name as entry element Pattern Recognition.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ünsalan, Cem.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781447142546
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-4255-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-08AUM Main Library2014-04-08 2014-04-08 E-Book   AUM Main Library006.6

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