Fusion of the Multi-Sensor Data of the COSMO-SkyMed Mission
Abstract
The COSMO-SkyMed mission will provide remotely-sensed data of the Earth that are very interesting for two main reasons. First, the short revisit time over ground areas, made possible by the constellation of satellites involved, will allow to extract information about the territory or the sea surface on a daily basis. Second, this mission will provide data acquired by sensors of different and complementary nature: SAR, multispectral camera with high- spatial resolution (HRC), and hyperspectral camera (HYC). An appropriate signal processing, based on a synergistic use of the data that will be acquired and transmitted to ground stations, will represent a powerful and flexible tool for the investigation of the state of the soil and its changes, and for object detection. Data fusion techniques will be of primary importance in order to exploit the complementary nature of the sensors involved. The purposes may be different, such as a composite display of the information derived from different sensors, target detection, classification, change detection, etc. In this paper, after recalling some basic information about the COSMO-SkyMed mission, a brief survey of the most widespread techniques for the fusion of remote sensing data will be provided. Experimental results obtained with real data will also be presented.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2000
- Accession Number
- ADP010842
Entities
People
- F. Caltagirone
- F. Melgani
- R. Vigliotti
- S. B. Serpico
Organizations
- University of Genoa