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Imagine a SAR image of a smooth land surface whose NRCS does not change much within large areas. The image has been processed to full

Imagine a SAR image of a smooth land surface whose NRCS does not change much within large areas. The image has been processed to full spatial resolution, i.e. the de-tected pixel intensities have an exponential distribution. A calibration has been per-formed such that the pixel intensities can be assumed to represent realizations of NRCS measurements with speckle noise.

a) To get a first impression of the NRCS in one area of the image, you compute the mean value of 100 pixel values. How accurate is this NRCS estimate?

b) The NRCS in one area of the image seems to be larger than the NRCS in another area. You try to validate this by averaging over 20 20 pixels in each area, and you obtain NRCS values of 0.24 and 0.21. Is this a significant difference in the sense that the error bars (1 standard deviation) on the two values do not overlap?

c) A colleague of yours has analyzed another part of the image, and she tells you the NRCS in her test area is some dB value with an error bar of 0.1 dB. You try to un-derstand how she has obtained this result. Can you figure out over how many pixels she must have done the averaging to obtain an error bar of 0.1 dB?

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