Wawrzaszek A., Aleksandrowicz S., Krupiński M., Drzewiecki W. Influence of Image Filtering on Land Cover Classification when using Fractal and Multifractal Features. PFG Photogrammetrie, Fernerkundung, Geoinformation Jahrgang 2014 Heft 2 (2014), p.101-115

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

European Area Frame Sampling Based on Very High Resolution Images

Initiated in 2007, the Area Frame Sampling Europe subtask of the Seasonal and Annual Change Monitoring Service (SATChMo) Core Service in the geoland2 project delivered its final products in 2012. Three of these are

Drzewiecki W., Wawrzaszek A., Aleksandrowicz S., Krupinski M., Bernat K. Comparison of selected textural features as global content-based descriptors of VHR satellite image. Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

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

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