Fitting algorithm for surfaces of anomalies based on the analysis of the gravity gradient vector.

№3 (2018)

Senner A.E., Pimanova N.N.,Danilov M.S.

AbstractAbout the AuthorsReferences
The construction of 3D models of Earth anomalies is an important scientific and practical task. The article describes the developed algorithm for recognition and fitting the surfaces of anomalies. The initial data are the values of the gravity gradient vector specified at the nodes of a 3D regular network. A step-by-step algorithm and its variable parameters are described in detail. The algorithm can be used not only for the processing of gravity data, but also for solving some of the problems that analyze vector physical parameters in 3D space.

Senner Alexander Yevgenievich, Ph.D., leading research scientist of Geoinformatics Department “VNIIGeosystem”, FGBU “VNIGNI”. 117105, Russia, Moscow, Varshavskoye sh., 8. Email: senner_a_e@mail.ru.

Pimanova Nadezhda Nikolaevna, Ph.D., leading research scientist of Geoinformatics Department “VNIIGeosystem”, FGBU “VNIGNI”». 117105, Russia, Moscow, Varshavskoye sh., 8. E-mail: nadja@geosys.ru.

Danilov Maxim Sergeevich, senior graduate student of State University «Dubna». 141980 Russia, Moscow Region, Dubna, University str., 19. Email: fblackmessms@yandex.ru.

  1. Nikitin A.A., Kaplan S.A., Galuev V.I., Malinina S.S. Determination of physical and geometric properties of the earth’s crust according to the data of geophysical complex // Geoinformaticа. 2003. No. 2. P. 29-38.
  2. Senner A.E., Galuev V.I. Algorithm for recognizing the surfaces of the maximum gradient for three-dimensional models of distributed physical parameters // Geoinformatica. 2008. No. 2. P. 32-36.

Section: GIS INTEGRO algorithms and software

Keywords: algorithm, recognition, reconstruction, geophysical anomaly, gravity gradient.