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04292nam a22004575i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20140310151109.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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130531s2011 xxk| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780857296672 |
|
978-0-85729-667-2 |
| 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, |
| -- |
2011. |
| 912 ## - |
|---|
| -- |
ZDB-2-SCS |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ünsalan, Cem. |
| Relator term |
author. |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| 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. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XVIII, 186 p. |
| Other physical details |
online resource. |
| 440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
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. |
|
|---|
| 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 |
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 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-0-85729-667-2 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
E-Book |
