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Hi, On 03/21/2017 09:18 AM, Agustin Lobo
wrote:
This problem is more about sensor model fitting. You have an image in sensor geometry and you try to ortho-rectify it on ground based on a set of GCPs. The OTB already has an application to assess a RPC sensor model based on GCPs.I guess the second. Examples: http://geog.uoregon.edu/amarcus/geog418/Labs/Lab06_rectification.htmThe polynomial can be fit and applied using gdal_translate to incorporate the GCPs and then gdalwarp r near order 2 to apply the transformation but the way of introducing the GCPs is kind of inconvenient. No, at the moment there is no way to estimate a polynomial transform based on GCPs. If the transform is already computed, it can be fed into a *.geom file to act as a RPC model with denominator coefficients set like proposed.The polynomial model is a particular case of rational model, maybe setting the denominator coefficients to [1,0,0,...,0] will do the trick. GuillaumeYes, I agree. But can this be done in practice? Also, is there a tool in OTB to actually fit such a rational polynomial with prescribed denominators? The sensor models in OTB (RPC based or physical) should already take into account elevation. The inverse localization function is modeled like :Anyway, please consider also my suggestion of including the method described in Pala, V., and X. Pons. 1995. “Incorporation of Relief in Polynomial-Based Geometric Correction.” Photogrametrics Engineering & Remote Sensing 61: 935–44. https://www.researchgate.net/publication/244485309_Incorporation_of_relief_polynomial-based_geometric_corrections (row,col) = F_inv(x,y,z) --
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- Re: [otb-users] Simple geometry tools in OTB... Guillaume Pasero
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