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SpringerBriefs in Computer Science

Two-Dimensional Change Detection Methods

Remote Sensing Applications

Authors: İlsever, Murat, Unsalan, Cem

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  • Discusses change detection methods for remote sensing applications
  • Summarizes well-known methods in the literature
  • Proposes novel methods to solve the problem
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About this book

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.

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook 46,00 €
price for Spain (gross)
  • ISBN 978-1-4471-4255-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-1-4471-4254-6
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Two-Dimensional Change Detection Methods
Book Subtitle
Remote Sensing Applications
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2012
Publisher
Springer-Verlag London
Copyright Holder
Cem Ünsalan
eBook ISBN
978-1-4471-4255-3
DOI
10.1007/978-1-4471-4255-3
Softcover ISBN
978-1-4471-4254-6
Series ISSN
2191-5768
Edition Number
1
Number of Pages
X, 72
Number of Illustrations
26 b/w illustrations, 22 illustrations in colour
Topics

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