Details
Two-Dimensional Change Detection Methods
Remote Sensing ApplicationsSpringerBriefs in Computer Science
|
53,49 € |
|
| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 22.06.2012 |
| ISBN/EAN: | 9781447142553 |
| Sprache: | englisch |
| Anzahl Seiten: | 72 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>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.</p>
<p>Introduction.- Pixel-Based Change Detection Methods.- Transformation-Based Change Detection Methods.- Structure-Based Change Detection Methods.- Fusion of Change Detection Methods.- Experiments.- Final Comments.</p>
<p>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.</p>
Discusses change detection methods for remote sensing applications Summarizes well-known methods in the literature Proposes novel methods to solve the problem Includes supplementary material: sn.pub/extras Includes supplementary material: sn.pub/extras
Diese Produkte könnten Sie auch interessieren:
Mixed-Signal Layout Generation Concepts
von: Chieh Lin, Arthur H.M. van Roermund, Domine Leenaerts
96,29 €
System-Level Design Techniques for Energy-Efficient Embedded Systems
von: Marcus T. Schmitz, Bashir M. Al-Hashimi, Petru Eles
96,29 €
