Buch, Englisch, 72 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 143 g
Remote Sensing Applications
Buch, Englisch, 72 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 143 g
Reihe: SpringerBriefs in Computer Science
ISBN: 978-1-4471-4254-6
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Geowissenschaften Geologie Geodäsie, Kartographie, Fernerkundung
- Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung
Weitere Infos & Material
Introduction.- Pixel-Based Change Detection Methods.- Transformation-Based Change Detection Methods.- Structure-Based Change Detection Methods.- Fusion of Change Detection Methods.- Experiments.- Final Comments.
