Deriving contour maps from geological data

A simple technique is presented for the derivation of contour maps from geological data. Non-significant discontinuities in the data are eliminated by the assumption of a spatial probability function, which ideally reflects the variation that would occur if extensive sampling were carried out over a small region. At the same time this 'smoothing' of the data produces a grid network of 'most probable' values over the map area, allowing the required isoplethes to be located.

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Method and Realization of Efficient Extraction of Basic Geological Data from Two-Dimensional Mine Drawings

Complexity ◽

10.1155/2021/6624142 ◽

2021 ◽

Vol 2021 ◽

pp. 1-12

Author(s):

Xiaobo Lin

Keyword(s):

Cross Sections ◽

Coal Mines ◽

Secondary Development ◽

Geological Data ◽

Contour Maps ◽

Mining Geology ◽

Gross Error ◽

Database Structure ◽

Efficient Program ◽

Manual Input

In coal mining technology systems, it is very important to acquire, store, and represent basic geological data comprehensively and accurately. Based on the current working mode and information level in mining geology at coal mines, this paper proposes a process of building basic geological database for modeling of coal mines by using existing results’ data of mining geology and develops the efficient program for getting the basic geological data from the important 2D plane drawings’ achievement at mines, such as the contour maps of mine coal seam floors, geological cross-sections, underground drilling results, and geological survey results, based on AutoLISP, which is a programming language for the secondary development of AutoCAD. The obtained data in general text format is stored and managed by the MongoDB database, which realizes the storage, query, analysis, and correction of massive data of geological objects in the space of the underground coalmine. The application results show that compared with the previous data acquisition methods such as manual input and graphic transformation attribute, the extraction of spatial and attribute data from the existing mine 2D plane drawings by programming can effectively avoid the prominent problems such as artificial gross error, distortion of graph conversion, and different database structure, make the obtained spatial geological data more comprehensive, accurate, and effective, and, meanwhile, increase the rate by more than 60%, which plays an important role in data support for the construction of the geological modeling systems for transparent mines.

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A Simple Technique for Modeling Terrains Using Contour Maps

2012 16th International Conference on Information Visualisation ◽

10.1109/iv.2012.109 ◽

2012 ◽

Author(s):

Jose Anibal Arias ◽

Roberto Carlos Reyes ◽

Antonio Razo

Keyword(s):

Simple Technique ◽

Contour Maps

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Analysis of the 9th November 1990 flare

International Astronomical Union Colloquium ◽

10.1017/s025292110006454x ◽

2000 ◽

Vol 179 ◽

pp. 229-232

Author(s):

Anita Joshi ◽

Wahab Uddin

Keyword(s):

Image Processing ◽

Two Dimensional ◽

Temporal Behaviour ◽

Contour Maps ◽

Dimensional Measurements ◽

Processing Software ◽

Image Processing Software

AbstractIn this paper we present complete two-dimensional measurements of the observed brightness of the 9th November 1990Hαflare, using a PDS microdensitometer scanner and image processing software MIDAS. The resulting isophotal contour maps, were used to describe morphological-cum-temporal behaviour of the flare and also the kernels of the flare. Correlation of theHαflare with SXR and MW radiations were also studied.

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Small Computer System for Micrograph Analysis

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100097879 ◽

1981 ◽

Vol 39 ◽

pp. 270-271

Author(s):

J. F. Hainfeld ◽

J. S. Wall

Keyword(s):

Large Range ◽

Small Computer ◽

Black And White ◽

Contour Maps ◽

Points Of Interest ◽

Computer Aided Analysis ◽

Specialized Hardware ◽

Additional Memory ◽

Selection Of ◽

Publication Quality

Cost reduction and availability of specialized hardware for image processing have made it reasonable to purchase a stand-alone interactive work station for computer aided analysis of micrographs. Some features of such a system are: 1) Ease of selection of points of interest on the micrograph. A cursor can be quickly positioned and coordinates entered with a switch. 2) The image can be nondestructively zoomed to a higher magnification for closer examination and roaming (panning) can be done around the picture. 3) Contrast and brightness of the picture can be varied over a very large range by changing the display look-up tables. 4) Marking items of interest can be done by drawing circles, vectors or alphanumerics on an additional memory plane so that the picture data remains intact. 5) Color pictures can easily be produced. Since the human eye can detect many more colors than gray levels, often a color encoded micrograph reveals many features not readily apparent with a black and white display. Colors can be used to construct contour maps of objects of interest. 6) Publication quality prints can easily be produced by taking pictures with a standard camera of the T.V. monitor screen.

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Two structural states of the Z-band in cardiac and skeletal muscle

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100157097 ◽

1989 ◽

Vol 47 ◽

pp. 1022-1023

Author(s):

J.P. Schroeter ◽

M.A. Goldstein ◽

J.P. Bretaudiere ◽

L.H. Michael ◽

R.L. Sass

Keyword(s):

Skeletal Muscle ◽

Cross Section ◽

Real Space ◽

Contractile State ◽

Contour Maps ◽

False Color ◽

Grey Scale ◽

Fourier Filtering ◽

Cardiac Muscles ◽

Enhancement Algorithm

We have recently established the existence of two structural states of the Z band lattice in cross section in cardiac as well as in skeletal muscle. The two structural states are related to the contractile state of the muscle. In skeletal muscle at rest, the Z band is in the small square (ss) lattice form, but tetanized muscle exhibits the basket weave (bw) form. In contrast, unstimu- lated cardiac muscle exhibits the bw form, but cardiac muscles exposed to EGTA show the ss form.We have used two-dimensional computer enhancement techniques on digitized electron micrographs to compare each lattice form as it appears in both cardiac and skeletal muscle. Both real space averaging and fourier filtering methods were used. Enhanced images were displayed as grey-scale projections, as contour maps, and in false color.There is only a slight difference between the lattices produced by the two different enhancement techniques. Thus the information presented in these images is not likely to be an artifact of the enhancement algorithm.

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