A level-set approach for inverse problems involving obstacles Fadil SANTOSA

Santosa, Fadil. "A level-set approach for inverse problems involving obstacles Fadil SANTOSA." ESAIM: Control, Optimisation and Calculus of Variations 1 (2010): 17-33. <http://eudml.org/doc/116561>.

@article{Santosa2010,
abstract = { An approach for solving inverse problems involving obstacles is proposed. The approach uses a level-set method which has been shown to be effective in treating problems of moving boundaries, particularly those that involve topological changes in the geometry. We develop two computational methods based on this idea. One method results in a nonlinear time-dependant partial differential equation for the level-set function whose evolution minimizes the residual in the data fit. The second method is an optimization that generates a sequence of level-set functions that reduces the residual. The methods are illustrated in two applications : a deconvolution problem and a diffraction screen reconstruction problem. },
author = {Santosa, Fadil},
journal = {ESAIM: Control, Optimisation and Calculus of Variations},
keywords = {Inverse problems / level-set method / Hamilton-Jacobi equations / surface evolution / optimization / deconvolution / diffraction.; inverse problems; level-set method; Hamilton-Jacobi equations; surface evolution; optimization; deconvolution; diffraction},
language = {eng},
month = {3},
pages = {17-33},
publisher = {EDP Sciences},
title = {A level-set approach for inverse problems involving obstacles Fadil SANTOSA},
url = {http://eudml.org/doc/116561},
volume = {1},
year = {2010},
}

TY - JOUR
AU - Santosa, Fadil
TI - A level-set approach for inverse problems involving obstacles Fadil SANTOSA
JO - ESAIM: Control, Optimisation and Calculus of Variations
DA - 2010/3//
PB - EDP Sciences
VL - 1
SP - 17
EP - 33
AB - An approach for solving inverse problems involving obstacles is proposed. The approach uses a level-set method which has been shown to be effective in treating problems of moving boundaries, particularly those that involve topological changes in the geometry. We develop two computational methods based on this idea. One method results in a nonlinear time-dependant partial differential equation for the level-set function whose evolution minimizes the residual in the data fit. The second method is an optimization that generates a sequence of level-set functions that reduces the residual. The methods are illustrated in two applications : a deconvolution problem and a diffraction screen reconstruction problem.
LA - eng
KW - Inverse problems / level-set method / Hamilton-Jacobi equations / surface evolution / optimization / deconvolution / diffraction.; inverse problems; level-set method; Hamilton-Jacobi equations; surface evolution; optimization; deconvolution; diffraction
UR - http://eudml.org/doc/116561
ER -