scholarly journals TRANSFORMATION METHODS FOR USING COMBINATION OF REMOTELY SENSED DATA AND CADASTRAL MAPS

2016 ◽  
Vol XLI-B4 ◽  
pp. 587-589
Author(s):  
Ş. Ö. Dönmez ◽  
A. Tunc
Keyword(s):  
Transformation Method ◽  
Vector Data ◽  
Coordinate Systems ◽  
Remotely Sensed Data ◽  
Cadastral Maps ◽  
Polynomial Transformation ◽  
Order Polynomial ◽  
Common Block ◽  
Test Points ◽  
Transformation Methods

In order to examine using cadastral maps as base maps for aerial orthophotos, two different 2D transformation methods were applied between various coordinate systems. Study area was chosen from Kagithane district in Istanbul. The used data is an orthophoto (30 cm spatial resolution), and cadastral map (1:1000) taken from land office, containing the same region. Transformation methods are chosen as; 1st Order Polynomial Transformation and Helmert 2D Transformation within this study. The test points, used to determine the coefficients between the datums, were 26 common traverse points and the check points, used to compare the transformed coordinates to reliable true coordinates, were 10 common block corners. The transformation methods were applied using Matlab software. After applying the methods, residuals were calculated and compared between each transformation method in order to use cadastral maps as reliable vector data.

scholarly journals TRANSFORMATION METHODS FOR USING COMBINATION OF REMOTELY SENSED DATA AND CADASTRAL MAPS

2016 ◽  
Vol XLI-B4 ◽  
pp. 587-589
Author(s):  
Ş. Ö. Dönmez ◽  
A. Tunc
Keyword(s):  
Transformation Method ◽  
Vector Data ◽  
Coordinate Systems ◽  
Remotely Sensed Data ◽  
Cadastral Maps ◽  
Polynomial Transformation ◽  
Order Polynomial ◽  
Common Block ◽  
Test Points ◽  
Transformation Methods

In order to examine using cadastral maps as base maps for aerial orthophotos, two different 2D transformation methods were applied between various coordinate systems. Study area was chosen from Kagithane district in Istanbul. The used data is an orthophoto (30 cm spatial resolution), and cadastral map (1:1000) taken from land office, containing the same region. Transformation methods are chosen as; 1st Order Polynomial Transformation and Helmert 2D Transformation within this study. The test points, used to determine the coefficients between the datums, were 26 common traverse points and the check points, used to compare the transformed coordinates to reliable true coordinates, were 10 common block corners. The transformation methods were applied using Matlab software. After applying the methods, residuals were calculated and compared between each transformation method in order to use cadastral maps as reliable vector data.

scholarly journals THE COORDINATE TRANSFORMATION METHOD OF HIGH RESOLUTION DEM DATA

2018 ◽  
Vol IV-3 ◽  
pp. 239-244
Author(s):  
Chaode Yan ◽  
Wang Guo ◽  
Aimin Li
Keyword(s):  
High Resolution ◽  
Coordinate System ◽  
Coordinate Transformation ◽  
Linear Interpolation ◽  
Transformation Method ◽  
The Other ◽  
Vector Data ◽  
Elevation Data ◽  
Transformation Methods ◽  
Coordinate Transformation Method

Coordinate transformation methods of DEM data can be divided into two categories. One reconstruct based on original vector elevation data. The other transforms DEM data blocks by transforming parameters. But the former doesn’t work in the absence of original vector data, and the later may cause errors at joint places between adjoining blocks of high resolution DEM data. In view of this problem, a method dealing with high resolution DEM data coordinate transformation is proposed. The method transforms DEM data into discrete vector elevation points, and then adjusts positions of points by bi-linear interpolation respectively. Finally, a TIN is generated by transformed points, and the new DEM data in target coordinate system is reconstructed based on TIN. An algorithm which can find blocks and transform automatically is given in this paper. The method is tested in different terrains and proved to be feasible and valid.

scholarly journals A new method for identifying the role of marital preferences at shaping marriage patterns

2021 ◽  
pp. 1-27
Author(s):  
Anna Naszodi ◽  
Francisco Mendonca
Keyword(s):  
Contingency Table ◽  
Transformation Method ◽  
New Method ◽  
Marriage Patterns ◽  
The Us ◽  
Analytical Properties ◽  
The Matrix ◽  
Transformation Methods

Abstract We develop a method which assumes that marital preferences are characterized either by the scalar-valued measure proposed by Liu and Lu, or by the matrix-valued generalized Liu–Lu measure. The new method transforms an observed contingency table into a counterfactual table while preserving its (generalized) Liu–Lu value. After exploring some analytical properties of the new method, we illustrate its application by decomposing changes in the prevalence of homogamy in the US between 1980 and 2010. We perform this decomposition with two alternative transformation methods as well where both methods capture preferences differently from Liu and Lu. Finally, we use survey evidence to support our claim that out of the three considered methods, the new transformation method is the most suitable for identifying the role of marital preferences at shaping marriage patterns. These data are also in favor of measuring assortativity in preferences à la Liu and Lu.

scholarly journals Random numbers from the tails of probability distributions using the transformation method

2013 ◽  
Vol 16 (2) ◽  
Author(s):  
Daniel Fulger ◽  
Enrico Scalas ◽  
Guido Germano
Keyword(s):  
Probability Distributions ◽  
Transformation Method ◽  
Fractional Diffusion ◽  
Random Numbers ◽  
Stochastic Solution ◽  
Probability Densities ◽  
Speed Up ◽  
Time Fractional Diffusion Equation ◽  
Transformation Methods ◽  
Very High

AbstractThe speed of many one-line transformation methods for the production of, for example, Lévy alpha-stable random numbers, which generalize Gaussian ones, and Mittag-Leffler random numbers, which generalize exponential ones, is very high and satisfactory for most purposes. However, fast rejection techniques like the ziggurat by Marsaglia and Tsang promise a significant speed-up for the class of decreasing probability densities, if it is possible to complement them with a method that samples the tails of the infinite support. This requires the fast generation of random numbers greater or smaller than a certain value. We present a method to achieve this, and also to generate random numbers within any arbitrary interval. We demonstrate the method showing the properties of the transformation maps of the above mentioned distributions as examples of stable and geometric stable random numbers used for the stochastic solution of the space-time fractional diffusion equation.

scholarly journals AN ALGORITHM FOR GENERATING NATURAL COLOR IMAGES FROM FALSE COLOR USING SPECTRAL TRANSFORMATION TECHNIQUE WITH HIGHER POLYNOMIAL ORDER

2018 ◽  
Vol XLII-5 ◽  
pp. 643-648
Author(s):  
S. Kala ◽  
A. Kumar ◽  
A. K. Joshi ◽  
V. M. Bothale ◽  
B. G. Krishna
Keyword(s):  
Second Order ◽  
Color Images ◽  
Water Bodies ◽  
Blue Band ◽  
Spectral Transformation ◽  
False Color ◽  
Natural Color ◽  
Polynomial Transformation ◽  
Order Polynomial ◽  
Color Composite

<p><strong>Abstract.</strong> Satellite imageries in True color composite or Natural Color composite (NCC) serves the best combination for visual interpretation. Red, Green and Infrared channels form false color composite which might not be as useful as NCC to a non-remote sensing professional. As blue band is affected by large atmospheric scattering, satellites like IRS-LISS IV, SPOT do not have blue band. To generate NCC from such satellite data blue band must be simulated. Existing algorithms of spectral transformation do not provide robust coefficients leading to wrong NCC colors especially in water bodies. To achieve more robust coefficients, we have proposed new algorithm to generate NCC for IRS-LISS IV data using second order polynomial regression technique. Second order polynomial transformation functions consider even minor variability present in the image as compared to 1st order so that the derived coefficients are adjustable to accommodate spatial and temporal variability while generating NCC. In this study, Sentinel-2 image was used for deriving coefficients with blue band as dependent and green, red and infrared as independent variables. Simulated Sentinel band showed high accuracy with correlation of 0.93 and 0.97 for two test sites. Using the same coefficients, blue band was simulated for LISS-IV which also showed good correlation of 0.90 with sentinel original blue band. On comparing LISS-IV simulated NCC with simulated NCC from other algorithms, it was observed that higher order polynomial transformation was able to achieve higher accuracy especially for water bodies where expected color is green. Thus, proposed algorithms can be used for transforming false color image to natural color images.</p>

scholarly journals Rational Transformations for Evaluating Singular Integrals by the Gauss Quadrature Rule

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 677
Author(s):  
Beong In Yun
Keyword(s):  
Numerical Evaluation ◽  
Singular Integrals ◽  
Quadrature Rule ◽  
Transformation Method ◽  
Gauss Quadrature ◽  
Cauchy Principal ◽  
Weakly Singular ◽  
Principal Value ◽  
Transformation Methods ◽  
Gauss Quadrature Rule

In this work we introduce new rational transformations which are available for numerical evaluation of weakly singular integrals and Cauchy principal value integrals. The proposed rational transformations include parameters playing an important role in accelerating the accuracy of the Gauss quadrature rule used for the singular integrals. Results of some selected numerical examples show the efficiency of the proposed transformation method compared with some existing transformation methods.

scholarly journals First passage probability assessment of stationary non-Gaussian process using the third-order polynomial transformation

2018 ◽  
Vol 22 (1) ◽  
pp. 187-201 ◽  
Author(s):  
Yan-Gang Zhao ◽  
Long-Wen Zhang ◽  
Zhao-Hui Lu ◽  
Jun He
Keyword(s):  
Gaussian Process ◽  
Probability Assessment ◽  
Third Order ◽  
First Passage ◽  
The Third ◽  
Polynomial Transformation ◽  
Order Polynomial ◽  
First Passage Probability ◽  
Non Gaussian ◽  
First Four Moments

In this article, an analytical moment-based procedure is developed for estimating the first passage probability of stationary non-Gaussian structural responses for practical applications. In the procedure, an improved explicit third-order polynomial transformation (fourth-moment Gaussian transformation) is proposed, and the coefficients of the third-order polynomial transformation are first determined by the first four moments (i.e. mean, standard deviation, skewness, and kurtosis) of the structural response. The inverse transformation (the equivalent Gaussian fractile) of the third-order polynomial transformation is then used to map the marginal distributions of a non-Gaussian response into the standard Gaussian distributions. Finally, the first passage probabilities can be calculated with the consideration of the effects of clumping crossings and initial conditions. The accuracy and efficiency of the proposed transformation are demonstrated through several numerical examples for both the “softening” responses (with wider tails than Gaussian distribution; for example, kurtosis > 3) and “hardening” responses (with narrower tails; for example, kurtosis < 3). It is found that the proposed method has better accuracy for estimating the first passage probabilities than the existing methods, which provides an efficient and rational tool for the first passage probability assessment of stationary non-Gaussian process.

Measuring Musical Rhythm Similarity: Statistical Features Versus Transformation Methods

2015 ◽  
Vol 29 (02) ◽  
pp. 1550009 ◽  
Author(s):  
Juan F. Beltran ◽  
Xiaohua Liu ◽  
Nishant Mohanchandra ◽  
Godfried T. Toussaint
Keyword(s):  
Edit Distance ◽  
Correlation Coefficients ◽  
Transformation Method ◽  
Structural Features ◽  
Statistical Features ◽  
Musical Rhythm ◽  
Earth Movers Distance ◽  
Mallows Distance ◽  
Transformation Methods ◽  
Music Information

Two approaches to measuring the similarity between symbolically notated musical rhythms are compared with each other and with human judgments of perceived similarity. The first is the edit-distance, a popular transformation method, applied to the symbolic rhythm sequences. The second approach employs the histograms of the inter-onset-intervals (IOIs) calculated from the rhythms. Furthermore, two methods for dealing with the histograms are also compared. The first utilizes the Mallows distance, a transformation method akin to the Earth-Movers distance popular in computer vision, and the second extracts a group of standard statistical features, used in music information retrieval, from the IOI-histograms. The measures are compared using four contrastive musical rhythm data sets by means of statistical Mantel tests that compute correlation coefficients between the various dissimilarity matrices. The results provide evidence from the aural domain, that transformation methods such as the edit distance are superior to feature-based methods for predicting human judgments of similarity. The evidence also supports the hypothesis that IOI-histogram-based methods are better than music-theoretical structural features computed from the rhythms themselves, provided that the rhythms do not share identical IOI histograms.

scholarly journals Tissue culture-based Agrobacterium-mediated and in planta transformation methods

2017 ◽  
Vol 53 (No. 4) ◽  
pp. 133-143 ◽  
Author(s):  
M. Niazian ◽  
S.A. Sadat Noori ◽  
P. Galuszka ◽  
S.M.M. Mortazavian
Keyword(s):  
Tissue Culture ◽  
Transformation Method ◽  
Gene Transformation ◽  
In Planta Transformation ◽  
In Planta ◽  
Agrobacterium Mediated Transformation ◽  
Advantages And Disadvantages ◽  
Culture Independent ◽  
Transformation Methods ◽  
Mutant Lines

Gene transformation can be done in direct and indirect (Agrobacterium-mediated) ways. The most efficient method of gene transformation to date is Agrobacterium-mediated method. The main problem of Agrobacterium-method is that some plant species and mutant lines are recalcitrant to regeneration. Requirements for sterile conditions for plant regeneration are another problem of Agrobacterium-mediated transformation. Development of genotype-independent gene transformation method is of great interest in many plants. Some tissue culture-independent Agrobacterium-mediated gene transformation methods are reported in individual plants and crops. Generally, these methods are called in planta gene transformation. In planta transformation methods are free from somaclonal variation and easier, quicker, and simpler than tissue culture-based transformation methods. Vacuum infiltration, injection of Agrobacterium culture to plant tissues, pollen-tube pathway, floral dip and floral spray are the main methods of in planta transformation. Each of these methods has its own advantages and disadvantages. Simplicity and reliability are the primary reasons for the popularity of the in planta methods. These methods are much quicker than regular tissue culture-based Agrobacterium-mediated gene transformation and success can be achieved by non-experts. In the present review, we highlight all methods of in planta transformation comparing them with regular tissue culture-based Agrobacterium-mediated transformation methods and then recently successful transformations using these methods are presented.

scholarly journals TRANSFORMATION APPRECIATION OF MONODRAMA "LADY SWETTENHAM" AND "GREEN LIGHT"

2019 ◽  
Vol 1 (1) ◽  
pp. 15-26
Author(s):  
Ismaliza Ishak
Keyword(s):  
Green Light ◽  
Transformation Method ◽  
Survey Method ◽  
Theory Approach ◽  
Albert Bandura ◽  
Method Acting ◽  
Scientific Analysis ◽  
Transformation Methods ◽  
Imitation Theory

This article is aimed at analyzing the transformation method applied by two selected monodrama actors, Sabera Shaik in monodrama theater "Lady Swettenham" and Shahrul Mizad Asyaari in the monodrama theater "Waiting for the Green Light". This study takes into account some of the transformation methods used for conveying appreciation and visually inspiring the audience. Through the survey method of secondary and premature data and directly involved in the spectacle, the illustration is clearly detailed through scientific analysis in the performance of monodrama acting. These two presentations can illustrate the success of the transformation method and are indirectly made between the basic recommendations to the solo acting method. Using the Imitation theory approach by Albert Bandura and method acting (Stanislavski) this approach can be used as a benchmark for non-realistic acting representation.

Sign in / Sign up

Export Citation Format

Share Document