Wawrzaszek A., Krupinski, M. ; Aleksandrowicz S., Drzewiecki W. Fractal and multifractal characteristics of very high resolution satellite images. Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International.

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

Wawrzaszek A., Krupiński M., Aleksandrowicz S., Drzewiecki W.: Formalizm multifraktalny w analizie zobrazowań satelitarnych. Archiwum Fotogrametrii, Kartografii i Teledetekcji, vol. 25, s.261–272, 2013

W pracy przedstawiamy formalizm multifraktalny, jako narzędzie wspomagające opis i ekstrakcję informacji z wysokorozdzielczych zobrazowań satelitarnych. Podejście to opiera się na założeniu, że na pojedynczy obraz (multifraktal) składa się wiele fraktali, każdy o innym

Drzewiecki W., Wawrzaszek A., Krupiński M., Aleksandrowicz S., Bernat K.: Comparison of selected textural features as global content-based descriptors of VHR satellite image – the EROS-A study. 2013 Federated Conference on Computer Science and Information

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

Stelmaszczuk, M. & Wołk-Musiał, E. (2009). Image enhancement within assessment of usefulness of Landsat thermal-infrared images for geological application. Remote Sensing of Environment, 39, 48-58

The main object of the research was to assess usefulness of Landsat TM thermal infrared images for geological application. Within the assessment special steps of enhancement of illegible image were implemented. On the first

Sedo, P., Diaz, R., Gracia, V., Romero, L., Piolle, J.F., Kerbaol, V., Michail, A., Pittam, N., Kitson & Stelmaszczuk, M. (2009). PEARL – Environmental Management System for Port Authorities. Archive of Photogrammetry, Cartography and Remote Sensing

The PEARL system is a tailor-made platform based on a modular structure which provides an Environmental Management System for Port Authorities that allows the incorporation of future data sources (new in-situ sensors, future space

Stelmaszczuk, M., Drzewiecki, W. & Bielecki, M. (2010). Capacity building in the usage of spatial information – proposition of the specialized geoportal. Annals of Geomatics of the Polish Association for Spatial Information, 6, 42, 121–130

The Earth Observation sector evolves rapidly. This fact provides motivation for organisations from all over the world to undertake different initiatives and programs aimed at improving the management of EO resourses. One of them

Aleksandrowicz S., Stelmaszczuk M., Bochenek Z., Lewiński S., Turlej K., Groom A., Metz A., Esch T., Gurova E., Vaitkus G., 2010. “Seasonal & Annual Change Monitoring” in Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physi

Seasonal & Annual Change Monitoring (SATChMo) is one of the Core Mapping Services within the geoland2 project. The project is co-founded by the European Commission under the 7th Framework Program in the Space Activity

Gromek A., Jenerowicz M. “SAR imagery change detection method for Land Border Monitoring” 6th International Workshop Analysis of Multi-temporal Remote Sensning Images, In Proc. of MultiTemp 2011, p 213-216, Print ISBN: 978-1-4577-1202-9, DOI: 10.1109/Multi-Temp.2011.6005086

ABSTRACT: 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

Jenerowicz M., Kemper T., Soille T. “An automated procedure for detection of IDP’s dwellings using VHR satellite imagery” In Proc. of SPIE – Image Signal processing for Remote Sensing XVII, Vol. 8180 (SPIE, Bellingham, WA 2011), 818004

ABSTRACT: 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.

Kemper T., Jenerowicz M., Pesaresi M., Soille P. “Enumeration of dwellings in Darfur camps from GeoEye-1 satellite image using mathematical morphology”. IEE Journal of selected topics in applied Earth Observations and Remote Sensing, Vol. 4, No. 1, March

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