Malgorzata Jenerowicz

Malgorzata Jenerowicz
Polish Academy of Sciences | PAN · Space Research Center

About

23
Publications
3,078
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150
Citations
Introduction
Current research interests: IDP and refugee camps analysis; Methods and techniques they use: Mathemtical Morphology, pixel- and object-based classification methods, automatic features extraction, pattern recognition, algorithms development; What they're working on now:ARICA - Multidirectional analysis of the area of camps for refugees/internal displaced persons based on HR/VHR satellite data, of the POLNOR2019 Polish-Norwegian Research Cooperation Programme (NOR/POLNOR/ARICA/0022/2019-00)

Publications

Publications (23)
Article
Multifractals have proven to be a valuable tool in image analysis applications and remote sensing (RS). They can be used for image segmentation, texture analysis, and classification. This study explores their applicability to change detection. We present a new approach to image texture description based on the calculation of a spatialized Hölder ex...
Article
Full-text available
Hyperspectral images provide complex information about the Earth’s surface due to their very high spectral resolution (hundreds of spectral bands per pixel). Effective processing of such a large amount of data requires dedicated analysis methods. Therefore, this research applies, for the first time, the degree of multifractality to the global descr...
Article
Full-text available
Up-to-date information about the Earth's surface provided by land cover maps is essential for numerous environmental and land management applications. There is, therefore, a clear need for the continuous and reliable monitoring of land cover and land cover changes. The growing availability of high resolution, regularly collected remote sensing data...
Poster
Full-text available
Automatic Land Cover Classification of Europe with Sentinel-2 imagery
Article
Full-text available
The coordination of humanitarian relief is always difficult due to a lack of data required for management and planning. Remote sensing imagery can be an important source of information about the in-situ situation, notably, no-access areas. Scenarios include situation awareness after natural disasters or military conflicts, damage assessment, or mon...
Conference Paper
Full-text available
Hyperspectral data provides huge amount of detailed information about spectral properties of the objects. In the era of fast data volume enlargement, it is necessary to develop methods and algorithms which are capable for information extraction from Big Data. On the other hand, plenty of phenomena observed on Earth reveal (multi)fractal character o...
Article
Full-text available
The need to develop an automated method, independent of lighting and surface conditions, for the identification and measurement of impact craters, as well as the creation of a reliable and efficient tool, has become a justification of our studies. This paper presents a methodology for the detection of impact craters based on their spectral and spat...
Article
Full-text available
One of the main objectives of geographical information systems is to support the process of decision making. Spatial modeling can be a useful tool to provide such support also for the analyses of general security, including preventing illegal border crossing (immigration and smuggling). The paper presents a spatial model to estimate the level of bo...
Article
Full-text available
Objective of the described analysis is to provide consistent change detection method based on image processing techniques applied to the Synthetic Aperture Radar (SAR) images acquired over the same geographical area, but at two different time instances. The approach adopted in our work requires incorporation of results with the additional informati...
Article
Full-text available
This paper presents the results of the application of mathematical morphology for the automatic quantification of the number of tents and the detection of changes in the Menik Farm IDP camp in Sri Lanka. The tents were retrieved using an area-constraint top-hat opening applied to WorldView-1 data. The counting of tents was based on the centroids of...
Article
This paper presents the results for the estimation of dwellings structures in Al Salam IDP Camp, Southern Darfur, based on Very High Resolution multispectral satellite images obtained by implementation of Mathematical Morphology analysis. A series of image processing procedures, feature extraction methods and textural analysis have been applied in...
Article
Change detection is the process of identifying differences that have occurred in the terrain situation at different times. The Earth Observation (EO) data contribute to obtain the rapid and reliable change detection information making them particular and important source of information for Land Border Monitoring. Objective of the analysis is to pro...
Article
This paper presents a methodology for the detection of dwelling structures in Darfur camps to estimate the total number of dwellings per camp using GeoEye-1 satellite images. The method is based on a translation of the visual characterization of the searched structures into a morphological image processing chain. Two variants are described: the fir...
Article
Full-text available
This paper presents the results of the application of mathematical morphology techniques for a semi-automatic quantification of the number of dwellings in an IDP camp in Sri Lanka. The specific assessment was undertaken based on a WorldView-1 satellite image (0.5m). First, an area opening was used to suppress all bright objects whose area was below...

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Projects

Projects (4)
Project
EOTiST aims to enhance the S&T capacity of the Space Research Centre of the Polish Academy of Sciences (CBK PAN) and to achieve excellence in research of EO products’ assimilation in the ecosystem assessment and monitoring by starting close collaboration with 3 European centres of excellence: CERTH, CREAF, CNR. Monitoring of ecosystem services using terrestrial methods is very expensive or sometimes even impossible, especially if we want to cover entire regions or the world. Thanks to satellite data, we can provide new information about ecosystems in a continuous manner, both in space and time, determine the dynamics of changes taking place in ES delivery and create forecast models for the development of a given area. This is of particular importance in the sustainable management of resources. Specific goals are to be pursued: - Enhance S&T capacity of CBK PAN - Upgrade research profile of the CBK PAN and the profile of its staff by mobilizing and training of personnel (workshops, staff visits, and on-line courses, etc.) - Increase research excellence and stimulate innovation in CBK PAN - Achieve sustainable progress and future development for the today’s seed group in CBK PAN. - Promote the involvement of early stage researchers in the CBK PAN. - Develop joint research initiatives and projects. - Improve proposal preparation and management/administration skills in the CBK PAN.
Project
The main objective of this project is related to the presented issues and concerns the development of multifractal description of remote sensing images, as well as the evaluation of its applicability in the selected aspects of processing and analyzing of satellite and aerial optical data. More precisely, in the frame of the project we are planning: (I) change detection on high and very high spatial resolution satellite images; (II) analysis of image information capacity and detection of absorption bands on hyperspectral data; (III) classification of the selected land cover forms. We are planning to perform our analysis on large optical data sets, acquired by satellite and aerial sensors. Moreover, we want to compare the usefulness of multifractal formalism with mathematical morphology. Project founded by Polish National Science Centre (NCN) through grant 2016/23/B/ST10/01151