Title
A Novel Approach for Disaster Monitoring: Fractal Models and Tools
Abstract
In this paper, we present a complete framework to support the monitoring of natural and man-made disasters by means of synthetic aperture radar (SAR) images. The fractal geometry is the most appropriate mathematical instrument in describing the irregularity of a natural observed scene, by means of few effective and reliable parameters. Therefore, fractal concepts can be used to model and identify geometrical changes that occurred in areas hit by disasters. We present an overall framework employing fractal-based models, algorithms, and tools to support the identification of natural area changes due to natural or man-made disasters. Such a framework includes an algorithm used to extract fractal parameters from a 2-D signal, a fractal interpolation tool, and a SAR raw-signal simulator. The combined use of these tools provides an innovative instrument for disaster monitoring applications. In this paper, we implement the fractal framework to obtain a relation between the fractal parameters of a SAR image and those of the relative imaged area. In addition, a case study is discussed, showing the potentiality of our framework for flooding detection
Year
DOI
Venue
2007
10.1109/TGRS.2006.887024
Geoscience and Remote Sensing, IEEE Transactions
Keywords
Field
DocType
disasters,fractals,geophysical signal processing,geophysical techniques,image processing,synthetic aperture radar,2D signal,SAR images,SAR raw signal simulator,flooding detection,fractal geometry,fractal interpolation tool,fractal models,fractal parameter extraction,man made disaster monitoring,natural area changes,natural disaster monitoring,synthetic aperture radar,Change detection,fractals,synthetic aperture radar (SAR)
Disaster monitoring,Change detection,Mathematical instrument,Synthetic aperture radar,Fractal,Interpolation,Remote sensing,Image processing,Mathematics,Geophysical signal processing
Journal
Volume
Issue
ISSN
45
6
0196-2892
Citations 
PageRank 
References 
20
1.25
10
Authors
4
Name
Order
Citations
PageRank
Gerardo Di Martino111712.23
Antonio Iodice245373.07
Daniele Riccio3781118.99
Ruello, Giuseppe4779.35