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Szulkin M., Garroway C. J., Corsini M., Kotarba A. Z., Dominoni D. (2020), How to Quantify Urbanization When Testing for Urban Evolution?
Urban Evolutionary Biology fills an important knowledge gap on wild organismal evolution in the urban environment, whilst offering a novel exploration of the fast-growing new field of evolutionary research. The growing rate of urbanization
FPCUP
FPCUP – Caroline Herschel Framework Partnership Agreement. Główne cele projektu to: promowanie wykorzystania aplikacji i usług opartych o Obserwacje Ziemi wsparcie rozwoju europejskiego przemysłu kosmicznego i maksymalizacja szans dla europejskich przedsiębiorstw w zarezie opracowania
Jenerowicz M., Wawrzaszek A., Drzewiecki W., Krupiński M., Aleksandrowicz S. (2019), Multifractality in Humanitarian Applications: A Case Study of Internally Displaced Persons/Refugee Camps, IEEE Journal of Selected Topics in Applied Earth Observations and Remote
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,
First Newsletter of MAIL project
The first Newsletter of MAIL (Identifying Marginal Lands in Europe and strengthening their contribution potentialities in a CO2 sequestration strategy,) is available online. In the newsletter you may find more details about project goals,
Woźniak E., Aleksandrowicz S. (2019), Self-Adjusting Thresholding for Burnt Area Detection Based on Optical Images, Remote Sensing
Mapping of regional fires would make it possible to analyse their environmental, social and economic impact, as well as to develop better fire management systems. However, automatic mapping of burnt areas has proved to
Krupiński M., Wawrzaszek A., Drzewiecki W., Aleksandrowicz S., Jenerowicz M. (2019), Multifractal Parameters for Spectral Profile Description, IGARSS 2019
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
Aleksandrowicz S., Wawrzaszek A., Jenerowicz M., Drzewiecki W. and Krupiński M. (2019), Local Multifractal Description of Bi-Temporal VHR Images, 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), Shanghai, China, 2019, pp. 1-3. doi: 10.1109/Multi-Temp.2019.8866963
In this work we apply local multifractal formalism to spectral bands of bi-temporal Very High Resolution (VHR) images. Analysis of the local multifractal description and its changes between images acquired in two points in
Jenerowicz M., Wawrzaszek A., Krupiński M., Drzewiecki W., Aleksandrowicz S. (2019), Aplicability of Multifractal Features as Descriptors of the Complex Terrain Situation in IDP/Refugee Camps, IGARSS 2019
This paper presents the preliminary results of the complex terrain situation description with the utility of multifractal features. The analysis was done for two samples of Internally Displaced Person/Refugee camps (Ifo, Daadab in Kenya/Al
Gromny E., Lewiński S., Rybicki M., Malinowski R., Krupiński M., Nowakowski A., and Jenerowicz M. (2019), Creation of training dataset for Sentinel-2 land cover classification, Proc. SPIE
Supervised classification of satellite images is performed based on utilization of reference training data. Therefore, the availability and quality of reference data highly influences the results and the course of the entire classification process.
Jenerowicz M., Wawrzaszek A., Krupiński M., Aleksandrowicz S., and Drzewiecki W. (2019), Comparison of mathematical morphology with the local multifractal description applied to the image samples processing, Proc. SPIE
This paper presents the results of a preliminary comparison of two methods which are based on the mathematical approach, Mathematical Morphology and the Local Multifractal Description. Both methods are characterized by the need for