Téléchargez le livre : Two-Dimensional Change Detection Methods

Two-Dimensional Change Detection Methods

Remote Sensing Applications

de

,

Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2012-06-22



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Description

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.
Pages
72 pages
Collection
SpringerBriefs in Computer Science
Parution
2012-06-22
Marque
Springer
EAN papier
9781447142546
EAN EPUB
9781447142553
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
2458 Ko
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Prix
52,74 €

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