Data mining in problems of imaging with superresolution
Автор: Lagovsky B.A., Samokhin A.B., Chikina A.G.
Рубрика: Информатика и вычислительная техника
Статья в выпуске: 3, 2017 года.
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To improve the quality of the target image identification we need to improve the angular resolution. The numerical solutions became unstable when we try to obtain the angular resolution better then Rayleigh criterion allows. The additional information allows to enter new conditions in the form of the equations and inequalities. The use of received additional information about the solution is the regularizing factor which allows to improve the quality of the solution of the inverse problem
Angular superresolution, stability of inverse problems, data mining, regularizing factor
Короткий адрес: https://sciup.org/148160319
IDR: 148160319
