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    14-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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Geocoding: Geometry

The location of the (i,j) pixel in a given image can be derived from knowledge
of the sensor position and velocity. More precisely, the location of the
antenna phase centre in an Earth referenced coordinate system is required.
The target location is determined by the simultaneous solution of three
equations:
1. range equation;
2. Doppler equation;
3. Earth model equation.
The figure shows the geocentrical coordinate system illustrating a graphical solution for the pixel location equations.

The range equation is given by

where:
R s sensor position vector
R t target position vector
For a given cross-track pixel number j in the slant range image, the range to the j th pixel is

where represents an initial offset in complex pixels (relative to the start of the sampling window) in the processed data set. This offset, which is nominally 0,
is required for pixel location in subswath processing applications, or for a design where the processor steps into the data set an initial number of pixels
to compensate for the range walk migration.

The Doppler equation is given by:

where:
radar wavelength
Doppler centroid frequency
sensor (antenna phase centre) velocity
target velocity
The target velocity can be determined from the target position by:

where
is the Earth's rotational velocity vector. The Doppler centroid in the Doppler equation is the value of the
used in the azimuth reference function to form the given pixel. An offset between the value of fDC in the reference function and the true
causes the target to be displaced in azimuth according to

where
is the difference between the true and the reference ,
is the Doppler rate used in the reference function,
and is the magnitude of the swath velocity.

To compensate for this displacement, when performing the target location, the identical
used in the reference function to form the pixel should be used in the Doppler equation. The exception to this rule is if an ambiguous
is used in the reference function. That is, if the true is offset from the reference
by more than +/- fp /2. In this case, the pixel shift will be according to the Doppler offset between the reference
and the Doppler centroid of the ambiguous Doppler spectrum, resulting in a pixel location error of

where m is the number of PRFs the reference is offset from its true value (i.e., the azimuth ambiguity number).
The third equation is the Earth model equation. An oblate ellipsoid can be used to model the Earth's shape as follows:

where Re is the radius of the Earth at the equator, h is the local target elevation relative to the assumed model, and Rp, the polar radius, is given by

where f is the flattening factor of the ellipsoid. If a topographic map of the area imaged is used to determine h, the Earth model parameters should match
those used to produce the map. Otherwise, a mean sea level model can be used.

The target location as given by {x t , y t , z t } is determined from the simultaneous solution of the Range, Doppler and Earth model equations for the three unknown target position parameters.
This is illustrated in the figure; it shows the Earth (geoid) surface intersected by a plane whose position is given by the Doppler centroid equation. This intersection, a line of constant Doppler, is then intersected by the slant range vector at a given point, the target location. The left-right ambiguity is resolved by knowledge of the sensor's pointing direction.

The accuracy of this location procedure (assuming an ambiguous was not used in the processing) depends on the accuracy of the sensor position and velocity vectors, the measurement accuracy of the pulse delay time, and knowledge of the target height relative to the assumed Earth model.
The location does not require attitude sensor information. The cross-track target position is established by the sampling window, independent of the
antenna footprint location (which does depend on the roll angle). Similarly, the azimuth squint angle, or aspect angle resulting from yaw and pitch of the
platform, is determined by the Doppler centroid of the echo, which is estimated using a clutterlock technique.
Thus the SAR pixel location is inherently more accurate than that of optical sensors, since the attitude sensor calibration accuracy does not contribute to
the image pixel location error.

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