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This, together with the results of the simulations, solves the ambiguity regarding sequences with 4 matches and suggests a certain bias in their uptake, though not sufficient to drive them to significant overrepresentation.
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Solving the ambiguity problem needs a complex method which is a combination of topology and geometry.
Relative rotation on two adjacent HF frequencies is used to solve the ambiguity problem.
Finally, the wide-lane observation equation and the basic observation equation are combined to solve the ambiguity of the L1 carrier phase, and the resolved ambiguity can be obtained by directly rounding.
In the macro parametrics approach of iCAD lab of KAIST a topology based persistent identification mechanism is applied which will solve the ambiguity problem arising from topology splitting and also in case of topology merging.
In the proposed method a pixel-level shadow mask is built by extending established thresholding methods with a new C4 index which enables to solve the ambiguity of shadow and water bodies.
This disparity provides a feasible way to solve the ambiguity.
It is difficult to solve the ambiguity based on the value of ( widehat{psi} ).
Different approaches can be applied to solve the ambiguity term c.
With combination based TCAR, it is somehow used to solving the ambiguity individually, especially for EWL AR.
It is especially difficult to solve the ambiguity when the scene has multiple isolated objects or abrupt depth changes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com