Privacy Policy

Mohammed Eltahir's blog - Privacy Policy

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Datum

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  it defines the relationship between a local and a global three dimensional coordinate system of the same type, and it is defined as a re-position of a reference ellipsoid to be more accurate in representing a specific area . it also called local datum or national datum or just a datum.   Because an ellipsoid may be a best fit globally and the difference between the geoid and ellipsoid (n) be very minimum (globally) but not necessary for a specific area (country for example) so that a datum is created.   As every country wish to have an ellipsoid that is much accurate and close to the real surface of its land, some modifications may be applied to the previously best fitting global ellipsoid (correction for the ellipsoid parameters: a, b or e and f) or global reference system. Photo source   And that by taking a point and consider it as a datum centre point (datum origin point, it’s fixed and all other points are calculated from it), by assuming that this specific point i
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Published Paper-2022: A Comparison of The Impact of Edge Detection Operators on The Extraction of Corner Points

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  Abstract: Edge detection is an essential pre-processing procedure involved in most digital photogrammetry applications. Edge detection captures the object's physical boundaries, a crucial property of objects in the image. The amount of information provided by the edge detection operator is a crucial factor for the extraction of Corner points. Each edge map has a unique amount of information that differs depending on the used edge detection operator. Edge detection operators get optimized to solve a tremendous number of issues such as noise, edge structure, edge orientation, and computation time. Because of these issues and others, there is no single operator that fits all kinds of applications and purposes. So, it is a critical task to measure the impact of each edge detection operator on the extraction of corner points and choose the operator that yields a precise localization of corner points. This study evaluates the impact of the edge detection operator and measures its eff
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Published Paper-2020: Automatic Extraction of Corner Points from Aerial Images Using Point-Feature Operators and Hough Transform

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Abstract: Low-level feature extraction such as lines and points (i.e. corners), forms a fundamental step in digital photogrammetry and other fields. They supply the inputs for the photogrammetric orientation procedures; and they serve as an intermediate inputs for other processes such object recognition. With the accumulation of knowledge, the research community is in a better position to develop new generations of smart algorithms and solutions that possess a new level of maturity and understanding for the underlying challenges of automation. To this end, this paper presents an innovative approach for corner point extraction that combines the outputs from classical point feature operators with Hough Transform to generate a better hypothesis for a corner point that can be used for applications in urban areas. In particular, extracted point features were used to guide line extraction in a local neighbourhood by Hough Transform. Then the corner points that will be obtained from lines i
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