๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

On the use of complex attributes and the inferred source parameter estimates in the exploration of archaeological sites

โœ Scribed by G. N. Tsokas; R. O. Hansen


Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
933 KB
Volume
7
Category
Article
ISSN
1075-2196

No coin nor oath required. For personal study only.

โœฆ Synopsis


Complex attribute analysis is used to extract parameters of the buried structures that give rise to anomalous total magnetic field. The attributes by themselves aid the interpretation because they can delineate the edges of the concealed targets. Tests on synthetic and real data demonstrate this property. Parameters such as the local depth, dip, dip azimuth, strike and susceptibility contrast are obtained from the complex attributes on the basis of an analytical expression for the effect of a simple subsurface model. The simplest one, the sloping contact model, is used in this study.

The local parameters of the concealed targets aid the interpretation further. They can also be used alone to interpret the anomalous field. Interference of the signals caused by nearby buried structures and the noise level limit the extent to which the source parameter estimates can be used.


๐Ÿ“œ SIMILAR VOLUMES


ON THE USE OF THE GAUSS FILTER IN MODAL
โœ A. AGNENI ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 165 KB

The paper deals with the modal parameter estimation from the instantaneous envelope and phase\*achievable by the Hilbert transform\*of a single mode "ltered from a frequency response function by the Gauss "lter. It is possible, modulating the Gauss function, to put its maximum on the desired frequen

Maximum Likelihood Estimation and Infere
โœ Millar, Russell B. ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› John Wiley & Sons, Ltd ๐ŸŒ English โš– 118 KB ๐Ÿ‘ 2 views

This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodolog