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    15-Feb-2012
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Radar Course III
43. Texture and image analysis
42. Temporal averaging
12. Synthetic Aperture Radar (SAR)
34. Space, time and processing constraints
15. Slant range / ground range
8. Side-looking radars
19. Shadow
10. Real Aperture Radar: Range resolution
11. Real Aperture Radar: Azimuth resolution
9. Real Aperture Radar (RAR)
7. Radar principles
38. Radar image interpretation
35. The radar equation
36. Parameters affecting radar backscatter
16. Optical vs. microwave image geometry
25. Method
18. Layover
32. Landers Earthquake in South California
23. Introduction
27. Interferogramme of Naples (Italy)
29. Interferogramme and DEM of Gennargentu (Italy)
2. Independence of clouds coverage
40. Image interpretation: Speckle
41. Image interpretation: Speckle filters
39. Image interpretation: Tone
20. Geometric effects for image interpretation
22. Geocoding: Geometry
17. Foreshortening
26. First ERS-1/ERS-2 tandem interferogramme
6. Electromagnetic spectrum
30. Differential interferometry
45. Data reduction: 16 to 8 bit, blockaverage vs incrementing
4. Control of imaging geometry
3. Control of emitted electromagnetic radiation
24. Concept
28. Coherence image of Bonn area (Germany)
44. Classification of ERS-1 SAR images with Neural Networks
37. Bragg scattering
5. Access to different parameters compared to optical systems
13. SAR processing
33. SAR interferometric products
21. SAR image geocoding
14. ERS SAR geometric configuration
31. The Bonn experiment
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Temporal averaging

Another approach in image filtering is presented here. This simple technique can be called temporal averaging. It has the advantage of reducing the speckle without loosing spatial resolution: the contrary is the case of multilooking.

A subscene from Flevoland/The Netherlands has been used. The ERS SAR image to the left is the acquisition of 23 May 1993. To the right is a pixel by pixel averaged image of a data set consisting of 11 superimposed SAR scenes of that year (one each month with the exception of July).

As a result, fields become more homogeneous and their boundaries are better defined. Point-targets are enhanced, rendering the image much more focused.

Such simple techniques can be applied to improve spatial resolution, in the case high resolution optical data are not available or can not be afforded. It is required as input for the extraction of field boundaries in order to segment SAR images. The scope is to extract mean-values and other statistical parameters of each field of individual scenes for subsequent classification.

A more general application is its use in mapping, for the detection and interpretation of smaller objects.

(M.Mangolini, ESA/ESRIN, now at Aerospatiale Cannes)

Keywords: ESA European Space Agency - Agence spatiale europeenne, observation de la terre, earth observation, satellite remote sensing, teledetection, geophysique, altimetrie, radar, chimique atmospherique, geophysics, altimetry, radar, atmospheric chemistry