Haval AbdulJabbar Sadeq

• PhD in Photogrammetry
• Professor (Assistant) at Salahaddin University-Erbil

This study assesses two techniques for generating point clouds based on dense image matching (DIM): semiglobal matching (SGM) implemented in Trimble INPHO MATCH-3DX software, and a deep-learning algorithm Pyramid Stereo Matching Network (PSMNet). The PSMNet was trained using three datasets with both automated driving and aerial scenes. Two other di...

Potholes are considered the main factor for road defects, which leads to road status deterioration, which, consequently will lead to increased road accidents. The first step in road maintenance is to inspect the road surface and then accurately detect potholes. However, manually identifying them is costly and time-consuming. In this study, unmanned...

A dense image matching technique for high-quality point cloud generation has been proposed. The proposed algorithm identifies the corresponding pixel at the surface discontinuities, which is challenging for image matching algorithms. The algorithm uses different windows with reference points at the corners in addition to that at the centres. At eac...

3D city modeling is considered one of the most prominent products in urban planning, simulation, and visualization. Although manually producing 3D models is considered to be very time-consuming and costly, this paper presents the pipeline for generating and sharing a 3D city model from aerial imagery based on the photogrammetric technique. For the...

This paper introduces a novel Bayesian filtering technique for the filtration of ground points in complex terrain and steep inclines in remote sensing applications. The technique integrates LAStools and statistical techniques, generating a posterior distribution using prior probability and likelihood functions. It is applied to point cloud data fro...

A dense image matching technique for high-quality point cloud generation has been proposed. The proposed algorithm identifies the corresponding pixel at the surface discontinuities, which is challenging for image matching algorithms. The algorithm uses different windows with reference points at the corners in addition to that at the centres. At eac...

In this paper, a novel technique for building detection and extraction and simple building reconstruction from stereo aerial imagery is presented. This research hypothesises that geometric distortion in buildings will lead to occlusion at depth discontinuities. Depth discontinuities around buildings can be identified by determining the occlusion. A...

In this article, a straightforward, intuitive method for lidar data classification and building extraction, based on statis- tical analysis, is presented. The classification of the point cloud into ground and nonground is begun by individually testing each point within the point cloud using the statistical mean height. In this operation, various wi...

Image template matching is a main task in photogrammetry and computer vision. The matching can be used to automatically determine the 3D coordinates of a point. A firstborn image matching method in fields of photogrammetry and computer vision is area-based matching, which is based on correlation measuring that uses normalised cross-correlation. How...

Abstract. Maps are graphic demonstrations of geographic information and a worldwide means of navigation. Digital maps, which are easily accessed via smartphones, are important in daily life. However, producing or updating maps and providing web data servers in developing countries are challenging due to limitations in resources. This research focus...

Detection of Three Dimension (3D) changes and monitoring urban areas using photogrammetric and remotely sensed data is becoming an important research topic for monitoring the city development, disaster assessment, earthquake monitoring, and updating geo-database. In practice, identifying 3D changes manually in urban areas, specifically when dealing...

Although personal computers, smartphones and software for viewing 3D digital maps are available, online tools must be provided to aid people in different countries in visualising good locations for navigation and planning. This work presents a methodology for implementing geoinformatics to produce a 3D city model by using free rectified satellite i...

Unmanned aerial vehicle images are considered an important tool in close-range photogrammetry for topographic map production and 3D modelling using structure-from-motion approaches. The effect of overlap percentage in vertical and integrated vertical and oblique images on accuracy is evaluated. Analysis showed that the accuracy of the photogrammetr...

Finding addresses has become a major challenge because of population growth and its corresponding effect on city expansion. The use of postcodes is essential to save time and effort in reaching a destination. This research focuses on the use of geographical coordinates to automatically generate postcodes in defining addresses. The proposed approach...

In this research different DSMs from different sources have been merged. The merging is based on a probabilistic model using a Bayesian Approach. The implemented data have been sourced from very high resolution satellite imagery sensors (e.g. WorldView-1 and Pleiades). It is deemed preferable to use a Bayesian Approach when the data obtained from t...

In this research different DSMs from different sources have been merged. The merging is based on a probabilistic model using a Bayesian Approach. The implemented data have been sourced from very high resolution satellite imagery sensors (e.g. WorldView-1 and Pleiades). It is deemed preferable to use a Bayesian Approach when the data obtained from t...

Recently, especially within the last two decades, the demand for DSMs (Digital Surface Models) and 3D city models has increased dramatically. This has arisen due to the emergence of new applications beyond construction or analysis and consequently to a focus on accuracy and the cost. This thesis addresses two linked subjects: first improving the...

In this paper a comparison between DEMs, which generated from ground survey using total station and DEM generated from SRTM DEM (Space Shuttle Radar Topography Mission) with 90m spatial resolution, has been done. The comparison achieved in two different areas, area-1 (covers 1,384,707.00 square meters) and area-2 (covers 549,041.00 square meters)....

A 2010 study examining ASTER GDEM v1 data revealed accuracies of 12-25m and strong negative discrepancy biases compared to precise GPS observations, in several test sites in China. Rather than further investigating these, with the advent of ASTER GDEM v2 a new series of tests, also using precise GPS observations but also other DEMs, was performed....

Digital Elevation Models (DEM) of a region can be generated from stereo pairs of satellite images , enables the work to improve decision-making, take faster and more informed action based on geospatial information, but some times these data may be unavailable or expensive for students to use it in a mapping and preliminary design. Today Google Eart...