Name
Abstract | ||
|---|---|---|
In this paper we present first results regarding the analysis of individual business district buildings on very high resolution SAR images. In particular, we focus on the filtering of the periodic patterns appearing in the layover area of the buildings, which are related to façade structure (e.g. floors, windows, balconies). The proposed processing chain is based on spectral analysis of the layover amplitude image, and exploits an adaptive filtering strategy to filter out the periodic components, in order to enhance the non-periodic component related to the presence of different objects on the portion of ground in front of the building, interested by the layover phenomenon. The algorithm is applied on a spotlight high resolution image of the business center of Naples, Italy. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IGARSS.2013.6723775 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
adaptive filters,feature extraction,geophysical image processing,image resolution,remote sensing by radar,spectral analysis,synthetic aperture radar,Italy,Naples,adaptive filtering strategy,building feature extraction,layover amplitude image,periodic pattern filtering,single amplitude SAR images,spectral analysis,urban areas,very high resolution SAR images,SAR,spectral estimation,urban areas | Synthetic aperture radar,Computer science,Remote sensing,Layover,Artificial intelligence,Adaptive filter,Amplitude,Computer vision,Filter (signal processing),Algorithm,Feature extraction,Facade,Image resolution | Conference |
ISSN | ISBN | Citations |
2153-6996 | 978-1-4799-1114-1 | 1 |
PageRank | References | Authors |
0.41 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gerardo Di Martino | 1 | 117 | 12.23 |
| Antonio Iodice | 2 | 453 | 73.07 |
| Daniele Riccio | 3 | 781 | 118.99 |
| Giuseppe Ruello | 4 | 164 | 36.57 |