Drzewiecki W., Jenerowicz M., Aleksandrowicz S., Krupiński M. Spatial Modeling of Potential Ways of Crossing the Borders by Illegal Immigrants. Annals of Geomatics 2012, t.10 z4, pp 49-64

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

Krupiński M., Drzewiecki W., Wawrzaszek A., Aleksandrowicz S. Initial Evaluation of the Applicability of Multifractal Measures as Global Content-Based Image Descriptors. ESA-EUSC-JRC 8th conference on image information mining; 10/2013

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

Testing Texture of VHR Panchromatic Data as a Feature of Land Cover Classification

While it is well-known that texture can be used to classify very high resolution (VHR) data, the limits of its applicability have not been unequivocally specified. This study examines whether it is possible to

Change Detection Algorithm for the Production of Land Cover Change Maps over the European Union Countries

Contemporary satellite Earth Observation systems provide growing amounts of very high spatial resolution data that can be used in various applications. An increasing number of sensors make it possible to monitor selected areas in

Lewiński S., Aleksandrowicz S., Banaszkiewicz M. (2015) Testing Texture of VHR Panchromatic Data as a Feature of Land Cover Classification, Acta Geophysica, Volume 63, Issue 2, pp 547–567, doi: 10.2478/s11600-014-0250-5

While it is well-known that texture can be used to classify very high resolution (VHR) data, the limits of its applicability have not been unequivocally specified. This study examines whether it is possible to

Kotarba A.Z. (2015) Evaluation of ISCCP cloud amount with MODIS observations, Atmospheric Research, vol. 153, 310-317, doi: 10.1016/j.atmosres.2014.09.006

The goal of the International Satellite Cloud Climatology Project (ISCCP) is to provide global cloud amount statistics for atmospheric radiation flux modeling, which is a key element of climate change studies. However, ISCCP estimates

Pyka K.; Drzewiecki W.; Bernat K. ; Wawrzaszek A.; Krupiński M. Usefulness of wavelet-based features as global descriptors of VHR satellite images. Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92441D (October 13, 2014)

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

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