Dr. Doyno Petkov Profile

Dr. Doyno Petkov

at Space Research and Technology Institute

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Author

Publications (16)

Proceedings Article | 25 September 2018 Paper

Multisensor Earth observation systems: data fusion

Valentin Atanassov, Denitsa Borisova, Doyno Petkov, Ventzeslav Dimitrov, Hristina Vasileva, Margarita Goranova

Proceedings Volume 10785, 107851R (2018) https://doi.org/10.1117/12.2325731

KEYWORDS: Image fusion, Data fusion, Sensors, Data acquisition, Remote sensing, Spectrometers, Spectral resolution, Aerospace engineering, Image processing, Sensing systems

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Proceedings Article | 6 August 2018 Paper

Remote sensing measurements in creating thematic spectral library

Denitsa Borisova, Doyno Petkov, Roumen Nedkov, Hristo Nikolov, Ventzeslav Dimitrov, Margarita Metodieva Goranova, Daniela Avetisyan, Kameliya Radeva

Proceedings Volume 10773, 107730D (2018) https://doi.org/10.1117/12.2326005

KEYWORDS: Spectroscopy, Spectrometers, Remote sensing, Soil science, Minerals, Aerospace engineering, Reflectivity, Sensors

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Proceedings Article | 29 September 2017 Presentation + Paper

Characterization of imaging spectrometers

Valentin Atanassov, Denitsa Borisova, Doyno Petkov, Hristo Lukarski

Proceedings Volume 10423, 1042323 (2017) https://doi.org/10.1117/12.2278498

KEYWORDS: Spectrometers, Calibration, Point spread functions, Imaging systems, Modulation transfer functions, Aerospace engineering, Spatial resolution, Ultraviolet radiation, Near infrared, Short wave infrared radiation

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Proceedings Article | 6 September 2017 Paper

Optical hyperspectral measurements of rocks and soils in Central Srednogorie, Bulgaria

Denitsa Borisova, Banush Banushev, Doyno Petkov, Roumen Nedkov, Daniela Avetisyan

Proceedings Volume 10444, 104441O (2017) https://doi.org/10.1117/12.2277508

KEYWORDS: Optical testing, Soil science, Remote sensing, Field spectroscopy

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Proceedings Article | 5 January 2017 Paper

Case study of the ABL height and optical parameters of the atmospheric aerosols over Sofia

Tsvetina Evgenieva, Nikolay Kolev, Plamen Savov, Petya Kaleyna, Doino Petkov, Ventsislav Danchovski, Danko Ivanov, Evgeni Donev

Proceedings Volume 10226, 1022610 (2017) https://doi.org/10.1117/12.2262587

KEYWORDS: Atmospheric optics, Atmospheric particles, Aerosols, Sun, Photometry, Meteorology, Ozone, Data modeling, Atmospheric modeling, Geophysics

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Proceedings Article | 8 January 2015 Paper

Ceilometer observation of Saharan dust over mountain valley of Sofia, Bulgaria

Nikolay Kolev, Tsvetina Evgenieva, Ivan Grigorov, Atanaska Deleva, Danko Ivanov, Ventsislav Danchovski, Plamen Savov, Doyno Petkov

Proceedings Volume 9447, 94470Q (2015) https://doi.org/10.1117/12.2086082

KEYWORDS: Atmospheric modeling, Aerosols, LIDAR, Data modeling, Atmospheric particles, Climatology, Atmospheric optics, Solar radiation models, Earth's atmosphere, Optical properties

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Proceedings Article | 8 January 2015 Paper

Ångström coefficients calculated from aerosol optical depth data obtained over Sofia, Bulgaria

Tsvetina Evgenieva, Nikolay Kolev, Doyno Petkov

Proceedings Volume 9447, 94470P (2015) https://doi.org/10.1117/12.2175648

KEYWORDS: Aerosols, Atmospheric particles, LIDAR, Photometry, Sun, Pollution, Solar radiation, Ocean optics, Absorption, Air contamination

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Proceedings Article | 23 October 2014 Paper

Analysis of spectrometric optical data from different devices

D. Borisova, D. Petkov

Proceedings Volume 9245, 92450B (2014) https://doi.org/10.1117/12.2067347

KEYWORDS: Minerals, Spectroscopy, Reflectivity, Remote sensing, Infrared spectroscopy, Sensing systems, Field spectroscopy, Electromagnetism, Telecommunications, Optical scanning systems

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Remote sensing is a general tool to investigate the different areas of Earth and planets. The development of the implementation capabilities of the optoelectronic devices which are long-term-tested in the laboratory, in the field and are mounted on-board of the remote sensing platforms further improves the capability of instruments to acquire information about the Earth and its resources in different scales. Remote sensing application in the Earth observation begins with the design and the assembling of equipment for carrying out research of the monitored objects remotely and without disturbing their integrity. Ground-truth data in the Earth observation of the environment and in the remote sensing investigations are very important. Remote sensing methods for studying of rocks and minerals are closely related to current programs for the mineral and chemical composition study of the Earth, Mars and Phobos surfaces. The experience and the knowledge from previous experiments in space missions encourage us to continue our efforts to acquire spectral data using different remote sensing systems and to compare the obtained results. The main goal in the geological remote sensing is the determination of the chemical and/or mineral composition and the structure of the rocks. For this purpose the laboratory and the field spectroscopy measurements are performed. These measurements are made to collect, compile and complete guide with spectral characteristics of different rocks for their reliable identification and for the determination of their mineral and chemical composition. The experiments are based on major physical principles such as light scattering, absorption of light, and reflection of light in the electromagnetic spectrum. For the purpose of present paper ex-situ spectroscopy measurements of the granites and their rock-forming minerals from the territory of Bulgaria in visible and near infrared (VNIR) range of the electromagnetic spectrum were performed using following spectrometric systems: SRM, 0.4-0.82 micrometers; SPS-1, 0.55-1.1 micrometers, Thematically Oriented Multi-channel Spectrometer /TOMS/, 0.4-0.9 micrometers, all of them designed and constructed in Remote Sensing Systems /RSS/ Department at SRTI-BAS. The obtained spectral data are compared with similar data from different instruments for Earth observation included in the spectral libraries. They correspond to the shape of the spectral signature in the same spectral range obtained with other spectrometers. Two wavelengths were selected and were applied for the proper comparison between the data obtained by different instruments. The dependence between the reflectance values at the chosen wavelengths and the quantitative content of the rock-forming minerals was established. The achieved results proved that this methodology could be applied for comparing the spectral data from different sources. These promising results encourage us to plan the next campaigns for the field spectroscopy measurements in different regions of Bulgaria.

Proceedings Article | 24 October 2013 Paper

Ground-based multispectral measurements for airborne data verification in non-operating open pit mine “Kremikovtsi”

Denitsa Borisova, Hristo Nikolov, Doyno Petkov

Proceedings Volume 8893, 88930V (2013) https://doi.org/10.1117/12.2029151

KEYWORDS: Iron, Minerals, Mining, Reflectivity, Chemical analysis, Soil contamination, Soil science, Near infrared, Land mines, Aerospace engineering

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The impact of mining industry and metal production on the environment is presented all over the world. In our research we set focus on the impact of already non-operating ferrous “Kremikovtsi”open pit mine and related waste dumps and tailings which we consider to be the major factor responsible for pollution of one densely populated region in Bulgaria. The approach adopted is based on correct estimation of the distribution of the iron oxides inside open pit mines and the neighboring regions those considered in this case to be the key issue for the ecological state assessment of soils, vegetation and water. For this study the foremost source of data are those of airborne origin and those combined with ground-based in-situ and laboratory acquired data were used for verification of the environmental variables and thus in process of assessment of the present environmental status influenced by previous mining activities. The percentage of iron content was selected as main indicator for presence of metal pollution since it could be reliably identified by multispectral data used in this study and also because the iron compounds are widely spread in the most of the minerals, rocks and soils. In our research the number of samples from every source (air, field, lab) was taken in the way to be statistically sound and confident. In order to establish relationship between the degree of pollution of the soil and mulspectral data 40 soil samples were collected during a field campaign in the study area together with GPS measurements for two types of laboratory measurements: the first one, chemical and mineralogical analysis and the second one, non-destructive spectroscopy. In this work for environmental variables verification over large areas mulspectral satellite data from Landsat instruments TM/ETM+ and from ALI/OLI (Operational Land Imager) were used. Ground-based (laboratory and in-situ) spectrometric measurements were performed using the designed and constructed in Remote Sensing Systems Department at Space Research and Technology Institute thematically oriented spectrometric system TOMS working in the 0.4-0.9 μm range of the electromagnetic spectrum (EMS). For proper comparison between the data obtained from the different sources mentioned spectral transformations such as normalized difference and rationing data for two wavelengths were applied in order to avoid misinterpretation. Statistically significant dependence between the various spectral transformations and the quantitative content of the iron in the different type of compounds was established. The achieved results provided evidence that methodology used could be extended to other regions of the country polluted by the mining activities and should be also tested in the region of the copper and zinc extraction. In the next step of our research we intend to use the results obtained by the multitemporal analysis of the satellite and ground-based multispectral data for the same and the similar regions of interest.

Proceedings Article | 22 October 2013 Paper

Ceilometer, sun photometer and ozonometer measurements of the aerosol optical depth,angstrom coefficients, water vapor and total ozone content over Sofia (Bulgaria)

Nikolay Kolev, Tsvetina Evgenieva, Nikolay Miloshev, Plamen Muhtarov, Doino Petkov, Evgeni Donev, Danko Ivanov, Ivan Kolev

Proceedings Volume 8894, 88940W (2013) https://doi.org/10.1117/12.2029157

KEYWORDS: Aerosols, Ozone, Atmospheric particles, Atmospheric modeling, Adaptive optics, Atmospheric optics, Photometry, Data modeling, Sun, Climatology

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Proceedings Article | 25 October 2012 Paper

Multitemporal satellite data in mine waste monitoring of Medet copper deposit

Denitsa Borisova, Hristo Nikolov, Doyno Petkov, Banush Banushev

Proceedings Volume 8538, 85380J (2012) https://doi.org/10.1117/12.974423

KEYWORDS: Mining, Copper, Satellites, Landsat, Environmental sensing, Remote sensing, Reflectivity, Land mines, Multispectral imaging, Earth observing sensors

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Proceedings Article | 19 October 2012 Paper

Remote sensing spectrometric system for emergency response on board of unmanned helicopter

Doyno Petkov, Hristo Nikolov, Denitsa Borisova

Proceedings Volume 8532, 85320A (2012) https://doi.org/10.1117/12.974593

KEYWORDS: Spectroscopy, Reflectivity, Vegetation, Unmanned aerial vehicles, Remote sensing, Visible radiation, Near infrared, Sensing systems, Agriculture, Computing systems

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Proceedings Article | 27 October 2011 Paper

Sub-pixel method for analysis of optical data in determining the overburden dumps and open pit mines

D. Borisova, H. Nikolov, D. Petkov, B. Banushev

Proceedings Volume 8181, 81811C (2011) https://doi.org/10.1117/12.898267

KEYWORDS: Mining, Reflectivity, Data modeling, Vegetation, Target detection, Near infrared, Spatial resolution, Landsat, Associative arrays, Earth observing sensors

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Mining plants are one of the factors having major negative impact on the area where they are situated. In our study this is the case of the mine production plant consisting of Elacite mine and Mirkovo floatation plant both located in central part of Stara Planina Mountain. In this study an attempt is made to delineate the overburden dumps and open pit mines by means of remotely sensed multispectral data with moderate spatial resolution (e.g. Landsat TM/ETM+ 30m) is a challenging task. The major difficulties arise from: 1) large period using the dump (introducing the need for multitemporal data); 2) the unknown proportions of vegetation, soil and embedding rock samples in the boundary areas and their seasonal variations; 3) relatively restricted access to places of interest. A variety of methods have been proposed to overcome the problems with pixels corresponding to two or more end-members, but a promising one is the soft classification which assign single pixel to several land cover classes in proportion to the area of the pixel that each class covers. In this scenario for every pixel of the data the correct proportion of the end-members should be found and then co-registered with the corresponding original pixel. As a result this sub-pixel classification procedure generates a number of fraction images equal to the number of land cover classes (end-members). The sub-pixel mapping algorithms we have exploited so far have one property in common: accuracy assessment of sub-pixel mapping algorithms is not easy because of missing high resolution ground truth data. One possible solution is to incorporate in the method adopted additional ex-situ and in-situ measured data from field and laboratory spectrometers with bandwidth about 1 nm. This study presents a successful implementation of soft classification method with additional, precise spectrometric data for determination of dump areas of the copper plant and open ore mine. The results achieved are proving that the in-situ gathered data provide coincidence of 93.5%. The main advantage of the presented technique is that mixed pixels are used during the training phase. Compared to these other techniques, the present one is simple, cheap and objective oriented. The results of this sub-pixel mapping implementation indicate that the technique can be useful to increase the resolution while keeping the classification accuracy high.

Proceedings Article | 26 October 2010 Paper

Unmixing techniques for better segmentation of urban zones, roads, and open pit mines

Hristo Nikolov, Denitsa Borisova, Doyno Petkov

Proceedings Volume 7831, 78311L (2010) https://doi.org/10.1117/12.865027

KEYWORDS: Image segmentation, Roads, Reflectivity, Spectroscopy, Mining, Spatial resolution, Image processing, Multispectral imaging, Sensors, Earth observing sensors

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Proceedings Article | 19 December 2008 Paper

Directional reflectance approach for emissivity estimation

M. Danov, D. Stoyanov, D. Petkov

Proceedings Volume 7027, 702713 (2008) https://doi.org/10.1117/12.822514

KEYWORDS: Reflectivity, Specular reflections, Minerals, Infrared radiation, Mica, Hematite, Thermography, Diffusion, Modulation, Electronics

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Proceedings Article | 5 March 2007 Paper

Spectral emissivity measurement of rocks and rock-forming minerals

M. Danov, V. Tsanev, D. Petkov

Proceedings Volume 6604, 660426 (2007) https://doi.org/10.1117/12.727197

KEYWORDS: Infrared radiation, Minerals, Reflectivity, Temperature metrology, Sensors, Thermography, Absorption, Optical filters, Hematite, Spectral resolution

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Showing 5 of 16 publications

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