Simone, Giovanni and Farina, Alfonso and Morabito, Francesco and Serpico, Sebastiano Bruno and Bruzzone, Lorenzo (2002) Image fusion techniqes for remote sensing applications. UNSPECIFIED.
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. Each study case presents also results achieved by the proposed techniques applied to real data.
|Item Type: ||Departmental Technical Report|
|Department or Research center: ||Information Engineering and Computer Science|
|Subjects: ||T Technology > T Technology (General)|
|Uncontrolled Keywords: ||Remote Sensing, Synthetic Aperture Radar (SAR), SAR Interferometry, Neural Networks, Discrete Wavelet Transform (DWT), Multiscale Kalman Filter|
|Additional Information: ||Also appeared on Information Fusion, Vol. 3, No. 2, March 2002|
|Report Number: ||DIT-02-025|
|Repository staff approval on: ||22 Jan 2003|
Actions (login required)