Malinowski R., Groom G., Schwanghart W., Heckrath G. (2015) Detection and delineation of localized flooding from worldview-2 multispectral data. Remote Sensing 2015, 7, 14853-14875, doi: 10.3390/rs71114853

Remote sensing technology serves as a powerful tool for analyzing geospatial characteristics of flood inundation events at various scales. However, the performance of remote sensing methods depends heavily on the flood characteristics and landscape

Krupiński M., Wawrzaszek A., Drzewiecki W., Aleksandrowicz S. (2014) Usefulness of the fractal dimension in the context of hyperspectral data description, SGEM2014 Conference Proceedings, ISBN 978-619-7105-12-4 / ISSN 1314-2704, June 19-25, 2014, Book 2, Vol. 3, 367-374 pp

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

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