SAR surveys from separate passes show relative shifts of the ground wavenumber spectra that depend on the local slope and the off-nadir angle. The authors discuss the exploitation of this spectral shift for different applications: 1) generation of “low noise” interferograms benefiting phase unwrapping, 2) generation of quick-look interferograms, 3) decorrelation reduction by means of tunable SAR systems (TINSAR), 4) range resolution enhancement, and 5) the combination of SAR data gathered by different platforms (airborne and satellite) for a “long-time coherence” stud
SAR coherence can be exploited for applications of repeated surveys like digital elevation map generation, improvement of ground range resolution, measurement of small changes of the terrain. Results of the Bonn experiment are presented. The main goal of the experiment was the validation of differential interferometry technique for small terrain motions estimation. However, many other interesting results, a few of them not yet interpreted, have been obtained
A highly informative content makes visible and infrared images the most used remotely sensed data (generally speaking) in earth resource and environmental analysis. On the other hand, sensitivity to surface roughness, water content, and independence of weather conditions and sunlight are the features that justify the growing interest and use of microwave radar data. The previous considerations clearly indicate data fusion as a key point for remote-sensing image classification. In this paper, a knowledge-based system to exploit such numerous and diverse sources of information is proposed. The authors started with the problem of fusing Landsat- MSS and Seasat-SAR images for terrain classification in order to increase the reliability of results with respect to single-sensor analysis. A new approach to the fusion of 2-D images, called the 'region overlapping' technique, is employed, and its advantages for terrain classification are shown. Experimental results are presented and discussed to show the interest of the approach
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