Sciweavers

Share
INFFUS
2002

Image fusion techniques for remote sensing applications

10 years 11 months ago
Image fusion techniques for remote sensing applications
Image fusion refers to the acquisition, processing and synergistic combination of information provided by various sensors or by the same sensor in many measuring contexts. The aim of this survey paper is to describe three typical applications of data fusion in remote sensing. The first study case considers the problem of the synthetic aperture radar (SAR) interferometry, where a pair of antennas are used to obtain an elevation map of the observed scene; the second one refers to the fusion of multisensor and multitemporal (Landsat Thematic Mapper and SAR) images of the same site acquired at different times, by using neural networks; the third one presents a processor to fuse multifrequency, multipolarization and mutiresolution SAR images, based on wavelet transform and multiscale Kalman filter (MKF). Each study case presents also the results achieved by the proposed techniques applied to real data.
G. Simone, Alfonso Farina, Francesco Carlo Morabit
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where INFFUS
Authors G. Simone, Alfonso Farina, Francesco Carlo Morabito, Sebastiano B. Serpico, Lorenzo Bruzzone
Comments (0)
books