Adaptive Exhaustive Search Algorithm (Aesa) For Gravity Anomaly Profile Moddelling

In this paper, we introduce a new modelling technique called Adaptive Exhaustive Search Aigorithm (AESA) to distinguish the density and to compute the accurate location in geophysical section respect to its gravity anomali. Proposed algorithm contains two step; the first one is Approximate Search Aigorithm (ASA) which allows us to find the approximate location and the other one is Exhaustive Search Aigorithm (ESA) that considers all probable model structures in the approximate region. ESA takes very long processing time. To shorten this time, here, we apply ASA, and thus, exhaustive search is more applicable. We use AESA algorithm for synthetic data, synthetic noisy data and real data from Siirt Bouguer anomali map in South-East Turkey. It is determined that the model obtained from the proposed algorithm is very close to the geological observations

Adaptive Exhaustive Search Algorithm (AESA) for gravity anomaly profile moddelling [Gravite Anomali Profillerinin Modellenmesi Için Adaptif Tam Kapsamli Tarama Algoritmasi (Atkta)]

24th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 --In this paper, we introduce a new modelling technique called Adaptive Exhaustive Search Algorithm (AESA) to distinguish the density and to compute the accurate location in geophysical section respect to its gravity anomali. Proposed algorithm contains two step; the first one is Approximate Search Algorithm (ASA) which allows us to find the approximate location and the other one is Exhaustive Search Algorithm (ESA) that considers all probable model structures in the approximate region. ESA takes very long processing time. To shorten this time, here, we apply ASA, and thus, exhaustive search is more applicable. We use AESA algorithm for synthetic data, synthetic noisy data and real data from Siirt Bouguer anomali map in South-East Turkey. It is determined that the model obtained from the proposed algorithm is very close to the geological observations. © 2016 IEEE