Domen Mongus

• PhD
• Professor (Associate) at University of Maribor

In this paper, a novel method for estimating high-resolution isotropic broadband albedo is proposed, by downscaling satellite-derived albedo using an optimization approach. At first, broadband albedo is calculated from the lower-resolution multispectral satellite image using standard narrow-to-broadband (NTB) conversion, where the surfaces are cons...

Maximizing the energy output of photovoltaic (PV) systems is becoming increasingly important. Consequently, numerous approaches have been developed over the past few years that utilize remote sensing data to predict or map solar potential. However, they primarily address hypothetical scenarios, and few focus on improving existing installations. Thi...

This paper investigates the economic feasibility of utilising energy flexibility in aluminium production as a viable solution to leverage electricity surpluses arising from the increasing number of photovoltaic (PV) system installations. Future trends suggest that the generation capacity of PV systems will soon surpass consumption, leading to signi...

Feature selection is predominantly used in machine learning tasks, such as classification, regression, and clustering. It selects a subset of features (relevant attributes of data points) from a larger set that contributes as optimally as possible to the informativeness of the model. There are exponentially many subsets of a given set, and thus, th...

Feature selection is predominantly used in machine learning tasks, such as classification and regression. It selects a subset of features (relevant attributes of data points) from a larger set that contributes as optimally as possible to the informativeness of the model. There are exponentially many subsets of a given set, and thus, the exhaustive...

Multispectral satellite imagery offers a new perspective for spatial modelling, change detection and land cover classification. The increased demand for accurate classification of geographically diverse regions led to advances in object-based methods. A novel spatiotemporal method is presented for object-based land cover classification of satellite...

Woody vegetation landscape features, such as hedges, tree patches, and riparian vegetation, are important elements of landscape and biotic diversity. For the reason that biodiversity loss is one of the major ecological problems in the EU, it is necessary to establish efficient workflows for the registration and monitoring of woody vegetation landsc...

This article introduces a new iterative approach to explainable feature learning. During each iteration, new features are generated, first by applying arithmetic operations on the input set of features. These are then evaluated in terms of probability distribution agreements between values of samples belonging to different classes. Finally, a graph...

Automatic building reconstruction from laser-scanned data remains a challenging research topic due to buildings' roof complexity and sparse data. A novel automatic building reconstruction methodology, based on half-spaces and a height jump analysis, is presented in this paper. The proposed methodology is performed in three stages. During the prepro...

The pandemic caused by the coronavirus COVID-19 is having a worldwide impact that affects health, economy and air pollution in cities indirectly. In Slovenia, as well as in all other countries, the number of cases of infected people increased continually in 2020, which affected the health system and caused movement restrictions, which, in turn, aff...

This paper introduces a novel approach to increase the spatiotemporal resolution of an arbitrary environmental variable. This is achieved by utilizing machine learning algorithms to construct a satellite-like image at any given time moment, based on the measurements from IoT sensors. The target variables are calculated by an ensemble of regression...

V članku predstavimo postopke obdelave velikih količin nestrukturiranih geometrijskih podatkov, pridobljenih s prebirniki LiDAR. Najprej opišemo postopke klasifikacije točk LiDAR v točke, ki ležijo na Zemljinem površju. Opravimo kratek pregled obstoječih metod nato pa na kratko predstavimo našo metodo, temelječo na konceptih matematične morfologije...

This work introduces a new region merging algorithm operating in raster space represented by a 4-connected graph. Necessary definitions are introduced first to derive a new merging function formally. An implementation is described after that, which consists of two steps: a determination of the shared trails of the input cycles, and construction of...

This paper presents the first complete approach to achieving environmental intelligence support in the management of vegetation within electrical power transmission corridors. Contrary to the related studies that focused on the mapping of power lines, together with encroaching vegetation risk assessment, we realised predictive analytics with vegeta...

Satellite air pollution data sources are presented in this article. Satellite missions are listed and described, and corresponding instruments measuring the concentration of greenhouse gases or other parameters that affect air pollution. Main data hubs are enumerated, and other platforms providing access to the data in different formats. Some platf...

Tensiomyography is a muscle performance assessment technique that measures its mechanical responses. In this study, we explored the possibility of replacing traditional tensiomyography measurement systems with motion capture. The proposed method allows the measurement of multiple muscle points simultaneously while achieving measurements during a pa...

A new method for encoding a sequence of integers, named Binary Adaptive Sequential Coding with Return to Bias, is proposed in this paper. It extends the compressing pipeline for chain codes’ compression consisting of Burrows Wheeler Transform, Move-To-Front Transform, and Adaptive Arithmetic Coding. We also explain when to include the Zero-Run Tran...

V tem članku se osredotočamo na implementacijo naprednega geografskega informacijskega sistema, ki omogoča samodejno ocenjevanje večletnih profilov gibanja nadmorskih višin gladine jezer. Implementacija predlaganega sistema temelji na integraciji platforme Open Access Hub, ki omogoča dostop do odprtih podatkov Copernicus. Pri tem se osredotočamo na...

V tem članku se osredotočamo na implementacijo naprednega geografskega informacijskega sistema, ki omogoča samodejno ocenjevanje večletnih profilov gibanja nadmorskih višin gladine jezer. Implementacija predlaganega sistema temelji na integraciji platforme Open Access Hub, ki omogoča dostop do odprtih podatkov Copernicus. Pri tem se osredotočamo na...

Outside the main mountain ranges and high North and South regions, individual isolated very small glaciers are the only glacier remnants and exceptional high-mountain active geomorphosites, which can be used to represent climate change consequences first hand to the local general public. The isolated, very small Triglav glacier in Slovenia was used...

Navidezno in obogateno resničnost lahko uporabimo tudi na področju predstavitev novih izdelkov in idej širši javnosti. Z njima lahko uporabnike in potencialne kupce seznanimo z izdelkom že v času njegovega razvoja. V članku opisujemo naše izkušnje s predstavitvijo rezultatov projekta MAHEPA. Gre za evropski projekt v okviru programa Obzorje 2020, z...

Burrows-Wheeler Transform, followed by Move-To-Front Transform, are often used transformation techniques in data compression. They may reduce the information entropy of the input sequence, which becomes more compressible in this way. This paper suggests an alternative, a Prediction-based Move-To-Front Transform, which may replace the aforementioned...

This paper introduces a fast Central Processing Unit (CPU) implementation of geodesic morphological operations using stream processing. In contrast to the current state-of-the-art, that focuses on achieving insensitivity to the filter sizes with efficient data structures, the proposed approach achieves efficient computation of long chains of elemen...

This article introduces a fast Central Processing Unit (CPU) implementation of geodesic morphological operations using stream processing. In contrast to the current state-of-the-art, that focuses on achieving insensitivity to the filter sizes with efficient data structures, the proposed approach achieves efficient computation of long chains of elem...

Tensiomyography is a muscle performance assessment technique that measures its mechanical responses. In this study, we explore a possibility to replace traditional tensiomyography measurement system with motion capture. The proposed method allows for measurement of multiple muscle's points simultaneously, while achieving measurements during a patie...

A lossless chain code compression algorithm consisting of Burrows-Wheeler Transform, Move-To-Front Transform, and a modified interpolative coding is presented in this paper. The interpolative coding divides a strictly increasing array of integers and encodes the middle element recursively, where the required number of bits is obtained from the diff...

PM 10 particles impose significant risks to human health and the well-being of individuals in general. However, due to the complexity of the inner-correlations between influencing environmental factors, the holistic approach to predictive analytics of PM 10 concentration levels is a challenging task yet to be undertaken. We base this study on the r...

Competition between individual trees is a major factor influencing the development of forests. However, due to the complexity of such interactions, that span over vast geographic areas, systematic analysis of competition has only recently become possible through the concepts of so-called predictive analytics. The rationale behind the utilised appro...

Land monitoring is performed increasingly using high and medium resolution optical satellites, such as the Sentinel-2. However, optical data is inevitably subjected to the variable operational conditions under which it was acquired. Overlapping of features caused by shadows, soft transitions between shadowed and non-shadowed regions, and temporal v...

This paper proposes a novel visualization and analytics tool, which is capable of searching for hidden relationships and patterns within large multi-dimensional data. The goal of the presented tool is to represent the data in novel ways, understandable and useful to the data owner, with new visual and statistical analytics. Various statistics are o...

This paper describes an in-place SIMD accelerated method of mathematical morphology grayscale operators' erosion and dilation. These two operators can be used as building blocks to form a whole suite of additional operators, such as opening, closing, ultimate erosion and ultimate dilation. The described method is compared with OpenCV library as a b...

This paper considers the use of interpolative coding for lossless chain code compression. The most popular chain codes are used, including Freeman chain code in eight (F8) and four directions (F4), Vertex Chain Code (VCC), and three-orthogonal chain code (3OT). The whole compression pipeline consists of the Burrows–Wheeler transform, Move-To-Front...

This paper introduces a new algorithm for Boolean operations on rasterized geometric shapes that are represented with chain codes. The algorithm works in three steps. Firstly, the chain code symbols are transformed in the Hilbert space, where the overlaid chain code symbols are recognised. After that, a suitable starting cell is determined. Finally...

ABSTRACT Significant research effort has been focusing on automated construction progress monitoring using the Scan-vs- BIM method. In recent years, various scanning technologies were applied with different success. The general finding is that a higher quality of the point cloud leads to improved monitoring results. Most published works in the rele...

Complex network theory offers an efficient mathematical framework for modelling natural phenomena. However, these studies focus mainly on the topological characteristics of networks, while the actual reasons behind the networks’ formation remain overlooked. This paper proposes a new approach to complex network analysis. By searching for the optimal...

The paper proposes a new method to detect changes in point clouds of the Earth surface acquired by the LiDAR technology. The shape-analysis methods based on mathematical morphology are used. To extract objects, differences are determined from two input datasets, each acquired at different times and serving as the basis for detection of changed obje...

By combining stereo images in order to generate accurate point-clouds of the Earth's surface, the UAV (Unmanned Aerial Vehicle) has recently become a cheap alternative to the well-established LiDAR systems. In this paper, we verify to which extent the methods that were developed to process aerial LiDAR data can be used when presented by the limitat...

This paper proposes a new method for the detection of vegetation in LiDAR data. As vegetation points are characterised by non-linear distributions, they are efficiently recognised based-on large errors obtained when applying the local fitting of planar surfaces. In addition, three contextual filters are introduced capable of dealing with those exce...

This paper considers the suitability of string transformation techniques for lossless chain codes' compression. The more popular chain codes are compressed including the Freeman chain code in four and eight directions, the vertex chain code, the three orthogonal chain code, and the normalised directional chain code. A testing environment consisting...

Preserving the past within the collective memories of people is one of the ultimate goals of creative industries. Virtual cultural heritage applications recreate history by inviting users to travel back in time. One of the more popular approaches for enhancing the immersion of time-travellers within virtual environments is interactive digital story...

Aerial laser scanning of the whole territory of Slovenia was performed with first return point densities of 2-5 points/m 2 in years 2014 and 2015. The data were processed with Slovenian gLidar software, enabling quick product line and resulting in the following products: classified point cloud, ground point cloud, digital terrain model (DTM) with g...

This paper proposes a new method for 3D delineation of single tree-crowns in LiDAR data by exploiting the complementaries of treetop and tree trunk detections. A unified mathematical framework is provided based on the graph theory, allowing for all the segmentations to be achieved using marker-controlled watersheds. Treetops are defined by detectin...

In this study, eight airborne laser scanning (ALS)-based single tree detection methods are benchmarked and investigated. The methods were applied to a unique dataset originating from different regions of the Alpine Space covering different study areas, forest types, and structures. This is the first benchmark ever performed for different forests wi...

Laser scanning of Slovenia will allow, for the first time, detailed surface analysis in high resolution, because the lidar DTM 1 m × 1 m has a height accuracy of 15 cm (RMSE) and a planimetric accuracy of 30 cm (RMSE). This is a significant improvement compared to the previously existing photogrammetric DTM 5 m × 5 m with the height accuracy of 1 m...

This paper introduces a new approach for lossless chain code compression. Firstly, the chain codes are converted into the binary stream, independent on the input chain code. Then, the compression is done using three modes: RLE^0, LZ77^0 and COPY. RLE^0 compresses the runs of the 0-bits, LZ77^0 is a simplified version of LZ77 and handles the repetit...

This paper proposes a new approach for constructing digital terrain models (DTM) from the point-clouds generated from airborne stereo-pair images. The method uses data decomposition based on the differential attribute profiles and-mapping for the extraction of the most-contrasted connected-components. Their filtering is achieved based on multicrite...

Light Detection And Ranging (LiDAR) technology provides the means for fast and accurate acquisition of geospatial data. Quality control of the derived data is an important process for verifying whether the requirements of the scanning mission have been met. Point density presents one of the most important factors for evaluating LiDAR data. This pap...

Virtual presentation of cultural heritage has shown a great potential in preservation of collective memory. The level of immersion that the visitor feels in a virtual environment is one of the key factors for the quality of his experience. Terrains are the most authentic elements of cultural heritage sites, as they rarely have been significantly ch...

Systems based on principal component analysis have developed from exploratory data analysis in the past to current data processing applications which encode and decode vectors of data using a changing projection space (eigenspace). Linear systems, which need to be solved to obtain a constantly updated eigenspace, have increased significantly in the...

This paper proposes a new framework for ground extraction and building detection in LiDAR data. The proposed approach constructs the connectivity of a grid over the LiDAR point-cloud in order to perform multi-scale data decomposition. This is realised by forming a top-hat scale-space using differential morphological profiles (DMPs) on points’ resid...

This paper proposes a new mapping schema, named $Theta $ mapping, for filtering nonground objects from LiDAR data, and the generation of a digital terrain model. By extending the CSL model, $Theta $ mapping extracts the most contrasted connected-components from top-hat scale-space and attributes them for an adaptive multicriterion filter definition...

This paper proposes a new method for the visualisation of changes in the membrane potentials of biological cells, where the low image resolution and high presence of noise within an original series of images (i.e. a video) prevents accurate observations of this natural phenomenon. This method applies an alpha-trimmed mean filter within time-domain...

This paper reviews two methods for digital terrain model generation from LiDAR data in test cases in Slovenia; both methods are based on concepts of mathematical morphology. A general overview of methods is given in the introduction, one of which is presented in more detail. The results show that both methods are able to correctly extract terrain p...

This paper considers a new method for building-extraction from LiDAR data. This method uses multi-scale levelling schema or MSLS-segmentation based on differential morphological profiles for removing non-building points from LiDAR data during the data denoising step. A new morphological algorithm is proposed for the detection of flat regions and ob...

infection is associated with disturbed gut microbiota and changes in relative frequencies and abundance of individual bacterial taxons have been described. In this study we have analysed bacterial, fungal and archaeal microbiota by denaturing high pressure liquid chromatography (DHPLC) and with machine learning methods in 208 faecal samples from he...

Average reciprocal Simpsońs indexes of diversity (1/D), standard deviations and P values of the compared groups of samples. (DOCX)

The DHPLC separation conditions and peak analysis parameters. Conditions for the separation of mixed species 16S rDNA or ITS2 amplicons using the WAVE microbial analysis system and peak analysis parameters for the Navigator Software 2.2.0 (Build 25) are listed. (DOCX)

This paper presents a visual perception evaluation of efficient visualization for terrain data obtained by LiDAR technology. Firstly, we briefly summarize a proposed hierarchical data structure and discuss its advantages. Then two level-of-detail rendering algorithms are presented. The experimental results are then provided regarding the performanc...

This paper presents a new automatic colouring technique for grey-scale images that extends the CSL model from the visual perception point of view. Colour-coding is based on the attributes of contained objects, such as their area or radius of the bounding circle. Their extraction is achieved using advanced concepts of connected operators from mathem...

Textile simulation models are notorious for being difficult to tune. The physically based derivations of energy functions, as mostly used for mapping the characteristics of real-world textiles on to simulation models, are labour-intensive and not guarantee satisfactory results. The extremely complex behaviour of textiles requires additional adjustm...

This paper considers a new method for the automatic generation of digital terrain models from LiDAR data. The method iterates a thin plate spline interpolated surface towards the ground, while points’ residuals from the surface are inspected at each iteration, with a gradually decreasing window size. Top-hat transformation is used to enhance discon...

In this paper, a method for loss less compression of medical CT images is presented. The method allows separate compression, transmission, and decompression using data segmentation based on the Hounsfield scale. The presented method modifies our previous method by modifying the prediction scheme. The prediction scheme omits the inter-slice predicti...

Light Detection and Ranging (LIDAR) has become one of the prime technologies for rapid collection of vast spatial data, usually stored in a LAS file format (LIDAR data exchange format standard). In this article, a new method for lossless LIDAR LAS file compression is presented. The method applies three consequent steps: a predictive coding, a varia...

This paper introduces new pixel level algorithms for parametric curves. The optimal value of the steps is first derived when rastrerizing parametric curves. A double-step algorithm using only integer arithmetic is presented to minimize the problem of oversampling. The algorithms for parametric curves have been implemented also on GPU. Through exper...

Light detection and ranging (LiDAR) has the capability of capturing a huge amount of highly accurate spatial data. However, the size of the data causes a lot of problems associated with its exchange and storage. In this paper, a method for lossless LiDAR data compression is presented. Although, efficient methods in terms of compression ratio have a...

Today, 3D scanners are capable of producing high resolution and accurate 3D computer models that are often used for entertainment, industrial, and scientific purposes. Because such models may contain a huge amount of points, their storage is expansive, their loading is slow, and their transmission over the internet is impossibly slow. In this paper...

The Faculty of electrical engineering and computer science is one of biggest faculties in the frame of the University of Maribor, Slovenia. Originally the basic research area of the faculty was in engineering but for many years a lot of research activities are concentrated on computer science and informatics. Information systems, information and da...

The purpose of presented point-based rendering method is to visualize data retrieved from 3D scanners, especially from Light Detection and Ranging (LIDAR) scanners. LIDAR data scanners capture highly accurate and dense data and are used to gather vast spatial information about geographical areas. As a result, a lot of points are obtained and optimi...