Multispectral Satellite Image Understanding (Record no. 105254)

000 -LEADER
fixed length control field 04525nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-0-85729-667-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083714.0
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 130531s2011 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780857296672
-- 978-0-85729-667-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-0-85729-667-2
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1637-1638
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1637-1638
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQV
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM012000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM016000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.6
Edition number 23
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.37
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ünsalan, Cem.
Relator term author.
245 10 - TITLE STATEMENT
Title Multispectral Satellite Image Understanding
Medium [electronic resource] :
Remainder of title From Land Classification to Building and Road Detection /
Statement of responsibility, etc by Cem Ünsalan, Kim L. Boyer.
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2011.
300 ## - PHYSICAL DESCRIPTION
Extent XVIII, 186 p.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Advances in Computer Vision and Pattern Recognition,
International Standard Serial Number 2191-6586
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Part I: Sensors -- Remote Sensing Satellites and Airborne Sensors -- Part II: The Multispectral Information -- Linearized Vegetation Indices -- Linearized Shadow and Water Indices -- Part III: Land Use Classification -- Review on Land Use Classification -- Land Use Classification using Structural Features -- Land Use Classification via Multispectral Information -- Graph Theoretical Measures for Land Development -- Part IV: Extracting Residential Regions -- Feature Based Grouping to Detect Suburbia -- Detecting Residential Regions by Graph Theoretical Measures -- Part V: Building and Road Detection -- Review on Building and Road Detection -- House and Street Network Detection in Residential Regions -- Part VI: Summarizing the Overall System -- Final Comments.
520 ## - SUMMARY, ETC.
Summary, etc Rapid development of remote sensing technology in recent years has greatly increased availability of high-resolution satellite image data.  However, detailed analysis of such large data sets also requires innovative new techniques in image and signal processing. This important text/reference presents a comprehensive review of image processing methods, for the analysis of land use in residential areas.  Combining a theoretical framework with highly practical applications, making use of both well-known methods and cutting-edge techniques in computer vision, the book describes a system for the effective detection of single houses and streets in very high resolution.  Topics and features: With a Foreword by Prof. Dr. Peter Reinartz of the German Aerospace Center Provides end-of-chapter summaries and review questions Presents a detailed review on remote sensing satellites Examines the multispectral information that can be obtained from satellite images, with a focus on vegetation and shadow-water indices Investigates methods for land-use classification, introducing precise graph theoretical measures over panchromatic images Addresses the problem of detecting residential regions Describes a house and street network-detection subsystem Concludes with a summary of the key ideas covered in the book This pioneering work on automated satellite and aerial image-understanding systems will be of great interest to researchers in both remote sensing and computer vision, highlighting the benefit of interdisciplinary collaboration between the two communities.  Urban planners and policy makers will also find considerable value in the proposed system. Dr. Cem Ünsalan is an Associate Professor in the Department of Electrical and Electronics Engineering at Yeditepe University, Istanbul, Turkey.  Dr. Kim Boyer is Professor and Head of the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute, Troy, NY, USA.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Optical pattern recognition.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image Processing and Computer Vision.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern Recognition.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Boyer, Kim L.
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 9780857296665
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Advances in Computer Vision and Pattern Recognition,
-- 2191-6586
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-0-85729-667-2
912 ## -
-- ZDB-2-SCS

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