Phase calibration unwrapping algorithm for phase data corrupted by strong decorrelation speckle noise
نویسندگان
چکیده
منابع مشابه
modeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
Phase-unwrapping algorithm for noisy phase-map processing.
Automated fringe-pattern processing is important in a great number of industrial applications, such as optical data testing and quality control. One of the main problems that arises with these processes is the automated phase unwrapping of the phase map associated with the fringe pattern. Usually the phase map presents problems such as noise, and low-modulation areas. A new phase-unwrapping alg...
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Phase unwrapping is one of the most important parts of InSAR techniques. In order to estimate the grand surface displacements, interferomtric phases modulated between 0 to 2π must be unwrapped. Based on the use of either the conventional method or persistent scatterer (PS), phases will be spread both regularly and irregularly. The phases of PSs can be unwrapped by reducing phases into a regular...
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This paper aims to provide an effective and distortion-free approach for the phase unwrapping of digital speckle pattern interferometry (DSPI) maps. DSPI is a very powerful measurement tool among industrial users. However, high percentages of noise are present in the experimental data obtained from the method and, therefore, most phase unwrapping algorithms fail to restore the correct phase fil...
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ژورنال
عنوان ژورنال: Optics Express
سال: 2016
ISSN: 1094-4087
DOI: 10.1364/oe.24.028713