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Enhancing the RS2 ortho-rectification accuracy
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Enhancing the RS2 ortho-rectification accuracy
orthorectification accuracy rs2
5/16/12 2:35 PM
Hi everybody,

Has someone tried to compare the accuracy of orthorectification procedure of NEST?

I've orthorectified a RS2 QP image using PCI Geomatica and NEST 4B-1, and using the same auxiliary (DEM, Orbital segment and Rational Functions, ...) data and parameters (pixel size, projection system, ...).

But when I superimposed my vector layer onto both products, the Nest one is misplaced 2-3 pixels in X, and 1-2 pixels in Y direction, while the PCI product has much more better accuracy.

Another question: does someone know how we can add some GCPs (manually selected) to the orthorectification procedure in NEST?

Thanks for your answer/comment in advance

Saeid
RE: Enhancing the RS2 ortho-rectification accuracy
5/16/12 5:47 PM as a reply to Saeid Homayouni.
Which terrain correction did you use? NEST does not make use of the RS2 rational functions.
The SARSimTC can achieve better results depending on the terrain. Over mountainous terrain it's able to simulate a SAR image better than of course over flat terrain and the accuracy can also depend on the coregistration between the simulate image and the input image.

Both terrain correction methods use the DEM rather than manually entered GCP points.
RE: Enhancing the RS2 ortho-rectification accuracy
5/17/12 8:18 AM as a reply to Saeid Homayouni.
Hi Saeid,

>>Has someone tried to compare the accuracy of orthorectification procedure of NEST?

The Terrain Correction Operator implements a Rigorous Backward Range Doppler Approach (please refer to the help and help references if you want the details about the method) to geocode or orthorectify Radar Images.

The accuracy of final orthorectifed product depends on few parameters, like quality of the orbits, DEM accuracy and resolution, quality of timing information etc..

On the other side, from my point of view, the evaluation of the accuracy of orthorectified product is not a trivial thing at all and depends on what (and its accuracy) you are using to evaluate it, that is GCPs and their number or vector files.

Coming now to your question, of course we have done several tests to evaluate the accuracy and robustness of the procedure but again I can't say or report an absolute value in terms of final accuracy because what I said above

>>I've orthorectified a RS2 QP image using PCI Geomatica and NEST 4B-1, and using the same auxiliary (DEM, Orbital segment and Rational Functions, ...) data and parameters (pixel size, projection system, ...). But when I superimposed my vector layer onto both products, the Nest one is misplaced 2-3 pixels in X, and 1-2 pixels in Y direction, while the PCI product has much more better accuracy.

Well, I don't know how PCI Geomatica implements the Geocoding or orthorectification than I can't say anything about this.
Instead I can add that NEST does not use the Rational Functions approach.

Relating the misplacement you are reporting it is hard to comment. It would be interesting to know if you get always this off-set also with other images.

>> Another question: does someone know how we can add some GCPs (manually selected) to the orthorectification procedure in NEST?
If you mean to add point DURING the Terrain Correction operation, the Answer is NO way, since the procedure is fully automatic.

Best wishes,
Andrea

PS: the use of SarSIM TC (what Luis has reported in his email) is strongly affected by the DEM used and from the area covered by the image. I think that with current Spaceborne Radar sensor this approach can be avoided for geocoding the image.
RE: Enhancing the RS2 ortho-rectification accuracy
5/17/12 2:28 PM as a reply to Luis Veci.
Thanks Luis for your good comments

I wanted to to say that I compared the NEST terrain corrected product using SARSimTC and PCI orthorectified product using rational function model.

My area of study is an relatively flat of agricultural lands, so as you mentioned these misplacement could be because of that!

Saeid
RE: Enhancing the RS2 ortho-rectification accuracy
5/17/12 2:33 PM as a reply to Andrea Minchella.
Andrea,

Thanks for giving the practical hints.

I will read more about the theoretical background of NEST TC approach.

And I will test other images over this area to see the accuracy of them too.

All the best
Saeid
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