Image Fusion Techniques for Remote Sensing Applications

Image fusion refers to the acquisition, processing andsynergistic combination of information providedby 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 usedto obtain an elevation map of the observedscene; the secondone refers to the fusion of multisensor andmultitemporal (Landsat Thematic Mapper and SAR) images of the same site acquired at different times, by using neural networks; the thirdone presents a processor to fuse multifrequency, multipolarization andmutiresolution SAR images, basedon wavelet transform andmultiscale Kalman filter (MKF). Each study case presents also the results achievedby the proposedtechniques applied to real data