Michal Krupinski

Michal Krupinski
Polish Academy of Sciences | PAN · Space Research Center

MS

About

35
Publications
4,891
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
197
Citations

Publications

Publications (35)
Conference Paper
This paper presents plans and efforts on European Union (EU) Member States (MSs) (including Norway and Iceland)-specific support for monitoring emissions and removals from land use, land use change and forestry (LULUCF) which are built on existing and forthcoming Copernicus data and services. Land use and change between land uses are mapped using a...
Conference Paper
Full-text available
The concept of marginal land (ML) is dynamic and depends on various factors related to the environment, climate, scale, culture, and economic sector. The current methods for identifying ML are diverse, they employ multiple parameters and variables derived from land use and land cover, and mostly reflect specific management purposes. A methodologica...
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...
Article
Full-text available
This article aims to meet two needs: (i) the need for skilled workers and students in the area of remote sensing and (ii) the need to make school science interesting for students. This article addresses both needs by proposing a project for high school students entitled "the Colors of Earth". The main aim for students was to distinguish between dif...
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
Human population has reached 7.7 billion in year 2019. According to the forecasts of world population projections it may reach 8 billion in 2023. This growth indicates inter alia increased demand for housing. Monitoring of urbanization processes in large scale may be effectively monitored only using Earth Observations (EO). European initiative – th...
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
In this work we analyse fractal and multifractal characteristics for description and extraction of information from VHR satellite images. We propose the degree of multifractality as a global descriptor of satellite image content and investigate its usefulness for classification of WorldView-2 image chips into main land cover types. The research con...
Article
In this letter, we apply the multifractal formalism to land cover change detection on very high spatial resolution data. Specifically, multifractal spectra are determined and, with modifications, are used as an initial general indicator of change on the subsets of IKONOS and Pleiades images. Next, we calculate Hölder exponents for each pixel in the...
Article
Full-text available
Research presented in this paper is focused on the efficiency assessment of multifractal description as a tool for Image Information Mining. Large datasets of very high spatial resolution satellite images (WorldView-2 and EROS-A) have been analysed. The results have confirmed the superiority of multifractals as global image descriptors in compariso...
Article
Full-text available
SŁOWA KLUCZOWE: fraktal, mapa multifraktalności, analiza obrazu, klasyfikacja, zobrazowania satelitarne STRESZCZENIE: W ramach pracy przeanalizowano 6 scen o trzydziestometrowej rozdzielczości pochodzące z satelitów Landsat 5, 7 i 8, zarejestrowane w sześciu zakresach długości fali i prezentujące obszar Warszawy. Stosując dwa algorytmy podziału duż...
Conference Paper
Full-text available
In this paper we present the results of research carried out to assess the usefulness of wavelet-based measures of image texture for classification of panchromatic VHR satellite image content. The study is based on images obtained from EROS-A satellite. Wavelet-based features are calculated according to two approaches. In first one the wavelet ener...
Conference Paper
The number of hyperspectral sensors and data grows systematically and dynamically. Hyperspectral data delivers huge number of precise information but character of data requires specific methods of processing. One of these methods can be the use of the fractal description. In literature there are only a few attempts to analyze hyperspectral images u...
Article
Full-text available
Over the last years, many features describing satellite images have been proposed. In this paper we analyse and compare fractal and multifractal features in the context of the discrimination of the four most common land cover classes on very high resolution optical satellite images. In particular, we consider agricultural, forest, urban and water c...
Conference Paper
Full-text available
Increasing amount of Very High Resolution (VHR) data requires new methods of information mining. In this paper we describe applicability of multifractal theory for VHR panchromatic image analysis. The aim of the study was to examine if selected multifractal parameters can be considered as efficient features describing the image. We used them as inp...
Conference Paper
Full-text available
The paper presents the results of the study of usefulness of selected textural features for describing the content of image chips (1024 by 1024 pixels) cut from WorldView-2 panchromatic images. Several texture analysis techniques were applied to calculate 290 different global image descriptors. These features together with 4 histogram-based charact...
Conference Paper
Full-text available
In our work we analyse fractal and multifractal characteristics for description and extraction of information from very high spatial resolution satellite images. In particular, we propose the degree of multifractality as a parameter for extraction of four land cover types and investigate its usefulness in comparison with the fractal dimension. Resu...
Conference Paper
Full-text available
Texture is considered as one of the most crucial image features used commonly in computer vision. It is important source of information about image content, especially for single-band images. In this paper we present the results of research carried out to assess the usefulness of selected textural features of different groups in panchromatic very h...
Article
Full-text available
In our work we present multifractal formalism as a tool for description and extraction of information on very high spatial resolution satellite images. This approach is based on an assumption that single image (multifractal) consists of number of fractals, each with different dimension. Multifractals are used for description, modelling, analysis an...
Article
Full-text available
Ukrainian-Russian carrier rocket Dnepr, that was launched on August 17, 2011 from the Baikonur Dombarowskij in Russia, has placed in orbit the Sich-2 satellite. It is a satellite dedicated to Earth observation, designed and manufactured bythe Ukrainian space industry. Sich-2 is a continuation of the mission Sich-1, Okean-O and Sich-1M. According to...
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
Satellite remote sensing is one of the main sources of information on natural environment and the processes occurring on the surface of the Earth. Satellite images of different spatial, spectral and radiometric resolution, enable the acquisition of spatial information which may be interpreted directly, or may be used in processes of mathematical mo...

Questions

Question (1)
Question
To answer this question we organize an open online workshop:
Time: 25-26 November 2021

Network

Cited By

Projects

Projects (6)
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
Archived project
This project was supported by the Polish National Science Centre (NCN) and the Ministry of Science and Higher Education (MNiSW) through Grant NN 526 1568 40. The scientific aim of this project is to investigate usefulness of the advanced multifractal formalism for the analysis and description of satellite imagery. In particular, we develop multifractal methods and models in the context of classification, segmentation, as well in detection of changes.