Next Article in Journal
Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA
Next Article in Special Issue
Correction: Garthwaite, M.C. on the Design of Radar Corner Reflectors for Deformation Monitoring in Multi-Frequency InSAR. Remote Sens. 2017, 9, 648
Previous Article in Journal
The Impact of Precipitation Deficit and Urbanization on Variations in Water Storage in the Beijing-Tianjin-Hebei Urban Agglomeration
Previous Article in Special Issue
Time Series Analysis of Very Slow Landslides in the Three Gorges Region through Small Baseline SAR Offset Tracking
Open AccessFeature PaperArticle

The Role of Resolution in the Estimation of Fractal Dimension Maps From SAR Data

Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Napoli, Italy
Institute for Electromagnetic Sensing of the Environment, Research National Council (CNR), Via Diocleziano 328, 80124 Napoli, Italy
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(1), 9;
Received: 29 September 2017 / Revised: 13 November 2017 / Accepted: 20 December 2017 / Published: 22 December 2017
(This article belongs to the Special Issue Advances in SAR: Sensors, Methodologies, and Applications)
This work is aimed at investigating the role of resolution in fractal dimension map estimation, analyzing the role of the different surface spatial scales involved in the considered estimation process. The study is performed using a data set of actual Cosmo/SkyMed Synthetic Aperture Radar (SAR) images relevant to two different areas, the region of Bidi in Burkina Faso and the city of Naples in Italy, acquired in stripmap and enhanced spotlight modes. The behavior of fractal dimension maps in the presence of areas with distinctive characteristics from the viewpoint of land-cover and surface features is discussed. Significant differences among the estimated maps are obtained in the presence of fine textural details, which significantly affect the fractal dimension estimation for the higher resolution spotlight images. The obtained results show that if we are interested in obtaining a reliable estimate of the fractal dimension of the observed natural scene, stripmap images should be chosen in view of both economic and computational considerations. In turn, the combination of fractal dimension maps obtained from stripmap and spotlight images can be used to identify areas on the scene presenting non-fractal behavior (e.g., urban areas). Along this guideline, a simple example of stripmap-spotlight data fusion is also presented. View Full-Text
Keywords: synthetic aperture radar; rough surfaces; fractals synthetic aperture radar; rough surfaces; fractals
Show Figures

Graphical abstract

MDPI and ACS Style

Di Martino, G.; Iodice, A.; Riccio, D.; Ruello, G.; Zinno, I. The Role of Resolution in the Estimation of Fractal Dimension Maps From SAR Data. Remote Sens. 2018, 10, 9.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop