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    Wyświetlanie 1-14 z 14
    Tytuł:
    Mathematical modelling of rainfall runoff from small catchments of the northwest coast of the Black Sea
    Autorzy:
    Moniushko, M.
    Daus, M.
    Zakharova, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/108582.pdf
    Data publikacji:
    2015
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    spatial model
    radar data
    ground data
    rainfall
    discharge
    runoff
    hydrograph
    Opis:
    This article is devoted to the use of a mathematical model of a flood runoff for calculating rainfall runoff hydrographs from small catchments of the northwest coast of the Black Sea. The described model was tested and applied for the following catchments located in various geographical conditions, with various amounts of initial data: experimental catchments in Zacarpathian, the northwest of the Black Sea region – Ukraine and the Republic of Moldova, small catchments of the northern part of Vietnam, etc. This work was carried out on the basis of Moldavian Water-Balance Station databases. The development of a complex approach to a mathematical simulation of the formation of the processes of rain floods from small catchments is also given further investigation in this article. A brief description of the structure of a flood runoff spatial model from small catchments then provided. As well as this, the advantages of using radiolocation measurement of rainfall in the mathematical modeling of the formation of a flood runoff are shown. The results of construction runoff hydrographs confirm the possibility of applying this spatial model with the use of radar information. The optimization of model parameters was made with the data of 123 floods. The values of the quality criterion S/σ turned out not to exceed the value 0.8 in 81% of the considered cases of floods.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2015, 3, 1; 45-50
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Marine parameters from radar satellite data
    Autorzy:
    Lehner, S.
    Schulz-Stellenfleth, J.
    Horstmann, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/241032.pdf
    Data publikacji:
    2001
    Wydawca:
    Polska Akademia Nauk. Instytut Budownictwa Wodnego PAN
    Tematy:
    marine parameters
    radar satellite data
    oceanographic data
    wind
    ocean wave fields
    Opis:
    In 2001 the European Space Agency ESA will launch the earth observation satellite ENVISAT. It will carry several instruments that provide new opportunities to measure oceanographic variabIes. These are the Advanced Synthetic Aperture Radar (ASAR), the Radar Altimeter (RA), the Medium Resolution Imaging Spectrometer (MERIS) and the Advanced Along-Track Scanning Radiometer (AATSR). Together, they rep-resent the main measurement techniques of satellite oceanography, and complement each other perfectly. These instruments are to be used in synergy to: ź improve the analysis of measured wind and ocean wave fields, and thereby improve weather forecasting at weather centers; ź determine the extent and variables of sea ice and develop a five-day sea ice prediction model, to support maritime shipping and offshore activities; ź monitor map sediment and suspended matter transport in coastal regions, especially in areas with large river estuaries, which greatly affects shipping lanes, harbours, and dredging activities; ź monitor hydrobiological and bio-geochemical variables related to water quality in coastal regions and large inland waters, which affects ecology, coastal development, aquaculture, drinking water supplies, and tourism. To prepare the oceanographic community to make best use of the ENVISAT sensors in the pre-Iaunch phase, existing algorithms to derive marine parameters are used and validated using data from the ERS SAR, the ERS RA, Sea WiFS, and IRS MOS sensors now in operation. Derived products, which include wind field, sea state, sea level, sea surface temperature and concentrations of water constituents, are used to address problems that can be tackled best using the synergy of radar and optical data, such as the effect of surface slicks on radar wind measurements, sea state on ocean color, wind and waves on the resuspension of suspended matter, and wind and waves on sea ice variabIes.
    Źródło:
    Archives of Hydro-Engineering and Environmental Mechanics; 2001, 48, 2; 17-29
    1231-3726
    Pojawia się w:
    Archives of Hydro-Engineering and Environmental Mechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Estimating forest biomass by remote sensing RADAR data in Brazil
    Autorzy:
    Santos, J.R.
    Gama, F.F.
    da Conceicao Bispo, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/52438.pdf
    Data publikacji:
    2014
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Technologii Drewna
    Tematy:
    forest biomass
    biomass modelling
    forest inventory
    tropical forest
    remote sensing
    eucalyptus tree
    stand
    RADAR data
    Brazil
    Źródło:
    Drewno. Prace Naukowe. Doniesienia. Komunikaty; 2014, 57, 192
    1644-3985
    Pojawia się w:
    Drewno. Prace Naukowe. Doniesienia. Komunikaty
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Processing of 3D Weather Radar Data with Application for Assimilation in the NWP Model
    Autorzy:
    Ośródka, Katarzyna
    Szturc, Jan
    Jakubiak, Bogumił
    Jurczyk, Anna
    Powiązania:
    https://bibliotekanauki.pl/articles/2037641.pdf
    Data publikacji:
    2014-10-10
    Wydawca:
    Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
    Tematy:
    Weather radar
    radar refectivity
    data quality
    data assimilation
    Opis:
    The paper is focused on the processing of 3D weather radar data to minimize the impact of a number of errors from different sources, both meteorological and non-meteorological. The data is also quantitatively characterized in terms of its quality. A set of dedicated algorithms based on analysis of the reflectivity field pattern is described. All the developed algorithms were tested on data from the Polish radar network POLRAD. Quality control plays a key role in avoiding the introduction of incorrect information into applications using radar data. One of the quality control methods is radar data assimilation in numerical weather prediction models to estimate initial conditions of the atmosphere. The study shows an experiment with quality controlled radar data assimilation in the COAMPS model using the ensemble Kalman filter technique. The analysis proved the potential of radar data for such applications; however, further investigations will be indispensable.
    Źródło:
    Miscellanea Geographica. Regional Studies on Development; 2014, 18, 3; 31-39
    0867-6046
    2084-6118
    Pojawia się w:
    Miscellanea Geographica. Regional Studies on Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A dedicated computer system for FM-CW radar applications
    Autorzy:
    Heijnen, S.H.
    Sinttruijen, J.S. van
    Zwan, F.W. van der
    Ligthart, L.P.
    Powiązania:
    https://bibliotekanauki.pl/articles/309084.pdf
    Data publikacji:
    2001
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    radar
    data processing
    system control
    Opis:
    In this paper, a DSP based computer system for FM-CW radar applications is described. Besides data acquisition and storage, the computer system will also be used for front-end data processing and system control. Processing includes filtering and clutter suppression. The radar for which the computer is designed is a multi parameter atmospheric profiler capable of doing Doppler and polarimetric measurements. The computer system will allow for a measurement of the full polarimetric scattering matrix over 512 range cells and 512 Doppler cells in 2 s. Radar system control includes the timing and the settings of the radar system together with linearity correction of the sweep oscillator.
    Źródło:
    Journal of Telecommunications and Information Technology; 2001, 4; 21-25
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Blob Extraction Algorithm in Detection of Convective Cells for Data Fusion
    Autorzy:
    Szuster, Piotr
    Powiązania:
    https://bibliotekanauki.pl/articles/307700.pdf
    Data publikacji:
    2019
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    big data
    blob extraction
    data fusion
    data integration
    image processing
    radar images
    Opis:
    Earth’s atmosphere is monitored by a multitude of sensors. It is the troposphere that is of crucial importance for human activity, as it is there that the weather phenomena take place. Weather observations are performed by surface sensors monitoring, inter alia, humidity, temperature and winds. In order to observe the developments taking place in the atmosphere, especially in the clouds, weather radars are commonly used. They monitor severe weather that is associated with storm clouds, cumulonimbuses, which create precipitation visible on radar screens. Therefore, radar images can be utilized to track storm clouds in a data fusion system. In this paper an algorithm is developed for the extraction of blobs (interesting areas in radar imagery) used within data fusion systems to track storm cells. The algorithm has been tested with the use of real data sourced from a weather radar network. 100% of convection cells were detected, with 90% of them being actual thunderstorms.
    Źródło:
    Journal of Telecommunications and Information Technology; 2019, 4; 65-73
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    MeteoGIS: GIS-based system for monitoring of severe meteorological phenomena
    Autorzy:
    Jurczyk, A.
    Ośródka, K.
    Szturc, J.
    Giszterowicz, M.
    Przeniczny, P.
    Tkocz, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/108449.pdf
    Data publikacji:
    2015
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    meteorological data
    weather radar
    GIS
    monitoring
    nowcasting
    Opis:
    The MeteoGIS system developed at the Institute of Meteorology and Water Management – National Research Institute in Poland is a GIS-based system for real-time monitoring of weather and the generation of meteorological warnings. Apart from its monitoring features, it can also provide more advanced analysis, including SQL (Structured Query Language) queries and statistical analyses. Input data are provided mainly by the INCA-PL 2 nowcasting model which employs forecasts from the high-resolution AROME numerical weather prediction model and measurement data from the Polish weather radar network POLRAD and surface meteorological stations. As well as this, data from the PERUN lighting detection system are used. Ingestion of such data allows for the mitigation of risk from potentially hazardous weather phenomena such as extreme temperatures, strong wind, thunderstorms, heavy rain and subsequent impending floods. The following meteorological parameters at ground level are visualised in the MeteoGIS: (i) precipitation (accumulation and type), (ii) temperature, (iii) wind (speed and direction), (iv) lightning (locations and type). End users of the system are workers from civil protection services who are interested in shortterm warnings against severe weather events, especially area-oriented ones (related to districts, catchments, etc.). The reliability of visualised data is a very important issue, and from the MeteoGIS user’s point of view the improvement in data quality is a continuous process.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2015, 3, 2; 49-61
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Validation of radar image tracking algorithms with simulated data
    Autorzy:
    Heymann, F.
    Hoth, J.
    Banyś, P.
    Siegert, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/117358.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    marine radar
    radar image
    tracking algorithms
    simulated data, multi-target tracker (MTT)
    maritimetraffic situation
    joint probabilistic data association (JPDA)
    optimal sub-pattern assignment (OSPA)
    Opis:
    Collision avoidance is one of the high-level safety objectives and requires a complete and reliable description of the maritime traffic situation. The radar is specified by the IMO as the primary sensor for collision avoidance. In this paper we study the performance of multi-target tracking based on radar imagery to refine the maritime traffic situation awareness. In order to achieve this we simulate synthetic radar images and evaluate the tracking performance of different Bayesian multi-target trackers (MTTs), such as particle and JPDA filters. For the simulated tracks, the target state estimates in position, speed and course over ground will be compared to the reference data. The performance of the MTTs will be assessed via the OSPA metric by comparing the estimated multi-object state vector to the reference. This approach allows a fair performance analysis of different tracking algorithms based on radar images for a simulated maritime scenario.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 3; 511-518
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    AIS and Radar Data Fusion in Maritime Navigation
    Fuzja danych AIS i radaru w nawigacji morskiej
    Autorzy:
    Stateczny, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/359922.pdf
    Data publikacji:
    2004
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    radar
    AIS
    fuzja danych nawigacyjnych
    EXPLO-SHIP 2004
    navigational data fusion
    Opis:
    The introduction of Automatic Identification System (AIS) was a great step to improve maritime safety. It was an extra source of navigational data in addition to radar. The problems of radar and AIS navigational data fusion are descussed in this article.
    Znacznym krokiem w kierunku podwyższenia bezpieczeństwa nawigacji było wdrożenie systemu automatycznej identyfikacji statków (AIS) jako dodatkowego dla radaru źródła danych nawigacyjnych. Problemy fuzji danych radaru i AIS zostały przedstawione w artykule.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2004, 2 (74); 329-336
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Determination of ship’s positions applying the selected M-estimation methods basing on radar observations
    Autorzy:
    Świerczyński, S.
    Czaplewski, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/360415.pdf
    Data publikacji:
    2013
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    ship’s positions
    M-estimation methods
    radar observations
    navigational data
    water areas
    Opis:
    The paper presents an analysis of the selected robust adjustment methods applied in geodesy, proving thereby justifiability in choosing the applied attenuation function. With a use of the radar navigation methods, the said methods were applied in the process of determination of the observed vessel’s positions.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2013, 36 (108) z. 1; 149-155
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Radar and Optical Images Fusion Using Stripmap SAR Data with Multilook Processing
    Autorzy:
    Kulpa, K.
    Malanowski, M.
    Misiurewicz, J.
    Samczynski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/226571.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Synthetic Aperture Radar (SAR)
    focused SAR
    multilook
    multilook colour mapping
    data fusion
    Opis:
    The paper presents the real-life data results of SAR and optical images data fusion. The fusion has been carried out for SAR images obtained in stripmap SAR mode using multilook processing with different methods of final image creation. The aim of the fusion was to enhance the target recognition capabilities on the Earth surface for a simple single-channel SAR receiver.
    Źródło:
    International Journal of Electronics and Telecommunications; 2011, 57, 1; 37-42
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of the form of presentation of graphic-tracked target data – sectors of dangerous courses
    Autorzy:
    Juszkiewicz, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/135569.pdf
    Data publikacji:
    2018
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    ARPA
    safety of navigation
    radar tracking
    target data presentation
    sector of danger
    IMO performance standards
    Opis:
    At present, providing a clear presentation of the navigational situation around a navigator’s own ship (OS) is one of the most important issues facing device manufacturers. Integration of navigational devices on the bridge has made it possible to transfer information and present it in the form chosen by the navigator screen. However, this may cause a decrease in the clarity of information and hamper its interpretation. The ability to select the best information, and that which is most needed at a given moment, depends on navigator proficiency. Vectors are still the basic form of the graphic presentation of radar-tracked object data. However, the ability to track more objects at the same time in crowded areas results in a decrease in readability and can cause errors. This article introduces the possibility of presenting information about collision danger in the form of Dangerous Courses Sectors (DCS) together with an analysis of changes in these during typical ship encounter situations. DCS are calculated on the base of Dangerous Passing Areas (DPA) as bearings on the marginal points of these areas.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2018, 53 (125); 68-73
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An integrated geoarchaeological approach to late Iron Age settlement at Kaštelina hillfort (Lopar, Island of Rab, Croatia) using Amplitude Data Comparison (ADC) method and trial excavation
    Autorzy:
    Androić Gračanin, Paula
    Welc, Fabian
    Konestra, Ana
    Nowacki, Bartosz
    Powiązania:
    https://bibliotekanauki.pl/articles/1634067.pdf
    Data publikacji:
    2020-12-19
    Wydawca:
    Uniwersytet Warszawski. Wydawnictwa Uniwersytetu Warszawskiego
    Tematy:
    Northeast Adriatic
    hillfort settlement
    Late Iron Age building structures
    geophysical survey
    Amplitude Data Comparison (ADC) method
    archaeological excavation
    ground penetrating radar
    magnetometry
    multidisciplinary research
    Opis:
    Geophysical prospection and small-scale archaeological excavation were undertaken on the site of Kaštelina, a Late Iron Age hillfort settlement located on the Stolac promontory in the eastern part of Rab island (Kvarner Gulf, Croatia). Within the frame of the “Archaeological topography of the island of Rab” program, a Polish–Croatian team applied a series of multidisciplinary methods to study the occupational history of the site, its preservation, the nature of selected site features and future research potential. Ground-penetrating radar and magnetometer surveys, combined with the implementation of the Amplitude Data Comparison (ADC) method, led to the detection of remains of Late Iron Age building structures distributed over the northwestern side of the Stolac promontory. Archaeological excavations verifying the findings of the geophysical survey resulted in the discovery of a dwelling with associated outdoor features. A preliminary assessment of the outcome of a multidisciplinary approach to the study of the site of Kaštelina emphasizes the importance of the collected data for a general understanding of Late Iron Age settlements and their internal organisation in a wider context.
    Źródło:
    Polish Archaeology in the Mediterranean; 2020, 29(2); 447-467
    1234-5415
    Pojawia się w:
    Polish Archaeology in the Mediterranean
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Classifiers accuracy improvement based on missing data imputation
    Autorzy:
    Jordanov, I.
    Petrov, N.
    Petrozziello, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/91626.pdf
    Data publikacji:
    2018
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    machine learning
    missing data
    model-based imputation
    neural networks
    random forests
    support vector machine
    radar signal classification
    nauczanie maszynowe
    brakujące dane
    sieci neuronowe
    maszyna wektorów nośnych
    klasyfikacja sygnałów radarowych
    Opis:
    In this paper we investigate further and extend our previous work on radar signal identification and classification based on a data set which comprises continuous, discrete and categorical data that represent radar pulse train characteristics such as signal frequencies, pulse repetition, type of modulation, intervals, scan period, scanning type, etc. As the most of the real world datasets, it also contains high percentage of missing values and to deal with this problem we investigate three imputation techniques: Multiple Imputation (MI); K-Nearest Neighbour Imputation (KNNI); and Bagged Tree Imputation (BTI). We apply these methods to data samples with up to 60% missingness, this way doubling the number of instances with complete values in the resulting dataset. The imputation models performance is assessed with Wilcoxon’s test for statistical significance and Cohen’s effect size metrics. To solve the classification task, we employ three intelligent approaches: Neural Networks (NN); Support Vector Machines (SVM); and Random Forests (RF). Subsequently, we critically analyse which imputation method influences most the classifiers’ performance, using a multiclass classification accuracy metric, based on the area under the ROC curves. We consider two superclasses (‘military’ and ‘civil’), each containing several ‘subclasses’, and introduce and propose two new metrics: inner class accuracy (IA); and outer class accuracy (OA), in addition to the overall classification accuracy (OCA) metric. We conclude that they can be used as complementary to the OCA when choosing the best classifier for the problem at hand.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2018, 8, 1; 31-48
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-14 z 14

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