Two-Dimensional Change Detection Methods

Remote Sensing Applications

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Application Software, Computer Graphics, General Computing
Cover of the book Two-Dimensional Change Detection Methods by Murat İlsever, Cem Ünsalan, Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Murat İlsever, Cem Ünsalan ISBN: 9781447142553
Publisher: Springer London Publication: June 22, 2012
Imprint: Springer Language: English
Author: Murat İlsever, Cem Ünsalan
ISBN: 9781447142553
Publisher: Springer London
Publication: June 22, 2012
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer London

Cover of the book Bone Metastases by Murat İlsever, Cem Ünsalan
Cover of the book Selected References in Orthopaedic Trauma by Murat İlsever, Cem Ünsalan
Cover of the book Anonymization by Murat İlsever, Cem Ünsalan
Cover of the book Project Management for the Creation of Organisational Value by Murat İlsever, Cem Ünsalan
Cover of the book Technology and Manufacturing Process Selection by Murat İlsever, Cem Ünsalan
Cover of the book Essentials of Autopsy Practice by Murat İlsever, Cem Ünsalan
Cover of the book Social Interaction, Globalization and Computer-Aided Analysis by Murat İlsever, Cem Ünsalan
Cover of the book Venous Embolization of the Liver by Murat İlsever, Cem Ünsalan
Cover of the book Prostaglandins and the Uterus by Murat İlsever, Cem Ünsalan
Cover of the book Computational Models for Neuroscience by Murat İlsever, Cem Ünsalan
Cover of the book Histopathology Reporting by Murat İlsever, Cem Ünsalan
Cover of the book Common Rail System for GDI Engines by Murat İlsever, Cem Ünsalan
Cover of the book Overactive Bladder in Clinical Practice by Murat İlsever, Cem Ünsalan
Cover of the book Dynamic Modeling, Simulation and Control of Energy Generation by Murat İlsever, Cem Ünsalan
Cover of the book Energy-Based Economic Development by Murat İlsever, Cem Ünsalan
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy