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Damian Wierzbicki - IEEE Xplore Author Profile
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Damian Wierzbicki

Publications
6
Citations
24
Publications by Year
20162025
Co-Authors:
Show All Co-Authors (8)
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Damian Wierzbicki

Affiliation

Department of Imagery Intelligence
Faculty of Civil Engineering and Geodesy
Military University of Technology, Warsaw, Poland

Publication Topics

Biography

Damian Wierzbicki received the Ph.D degree in photogrammetry and remote sensing from the Military University of Technology, Warsaw, Poland, in 2015.,He is currently an Associate Professor with the Department of Imagery Intelligence, Faculty of Civil Engineering and Geodesy, Military University of Technology, where he teaches photogrammetry and remote sensing and image processing. His research interests include UAV navigation and image processing, deep learning in remote sensing, the development of new algorithms for object detection, and the classification of image sequences from UAVs.(Based on document published on 3 March 2025).
Publications
6
Citations
24
Publications by Year
20162025
Co-Authors:
Show All Co-Authors (8)
Author's Published Works

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Image Inpainting and Digital Camouflage: Methods, Applications, and Perspectives for Remote Sensing

Kinga Karwowska;Damian Wierzbicki;Michal Kedzierski

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2025 | Volume: 18 | Journal Article |
Image inpainting refers to the process of restoring missing or damaged areas in an image. This research field has been very active in recent years, driven by various applications such as reconstructing lost fragments, concealing data loss in corrupted image transmissions, removing objects in image editing, and interpolating image content for reconstruction in image-based rendering from various fie...Show More

Image Inpainting and Digital Camouflage: Methods, Applications, and Perspectives for Remote Sensing

Kinga Karwowska;Damian Wierzbicki;Michal Kedzierski

Year: 2025 | Volume: 18 | Journal Article |

MCWESRGAN: Improving Enhanced Super-Resolution Generative Adversarial Network for Satellite Images

Kinga Karwowska;Damian Wierzbicki

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2023 | Volume: 16 | Journal Article |
Cited by: Papers (2)
With the dynamic technological development, we are witnessing a major progress in solutions that allow for the observation of Earth's surface. Small satellites have a significant drawback. Due to their limitations, the installed optic systems are not perfect. As a result, the quality of the obtained images is lower, including lower resolution, although the satellites move on the Low Earth Orbit. I...Show More

MCWESRGAN: Improving Enhanced Super-Resolution Generative Adversarial Network for Satellite Images

Kinga Karwowska;Damian Wierzbicki

Year: 2023 | Volume: 16 | Journal Article |

Using Super-Resolution Algorithms for Small Satellite Imagery: A Systematic Review

Kinga Karwowska;Damian Wierzbicki

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2022 | Volume: 15 | Journal Article |
Cited by: Papers (9)
In recent years, we have witnessed significant development in the space sector, in particular regarding Earth imaging. Small satellites, whose size and construction make their production much cheaper, are becoming increasingly popular. As a result, a larger number of satellites may be placed in space, and thus, they may perform more frequent observations of selected spots on Earth. Unfortunately, ...Show More

Using Super-Resolution Algorithms for Small Satellite Imagery: A Systematic Review

Kinga Karwowska;Damian Wierzbicki

Year: 2022 | Volume: 15 | Journal Article |

Methodology of Detection and Classification of Selected Aviation Obstacles Based on UAV Dense Image Matching

Marta Lalak;Damian Wierzbicki

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2022 | Volume: 15 | Journal Article |
Cited by: Papers (4)
Currently, more and more accurate data provided by UAVs make it possible to analyze land cover, which requires the detection of objects and their individual elements. Object detection and determination of their geometric features is possible thanks to dense point clouds generated based on imagery obtained from low altitudes. 3D data from UAVs turn out to be extremely useful for ensuring safety in ...Show More

Methodology of Detection and Classification of Selected Aviation Obstacles Based on UAV Dense Image Matching

Marta Lalak;Damian Wierzbicki

Year: 2022 | Volume: 15 | Journal Article |

Analysis of Reconnaissance Imagery Acquired in Different Spectral Ranges of the Electromagnetic Spectrum

Michal Kedzierski;Damian Wierzbicki;Paulina Delis;Marcin Walkowiak

2017 Baltic Geodetic Congress (BGC Geomatics)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
Technological advances and an increased demand for reconnaissance images acquired in different spectral ranges of the electromagnetic spectrum for Imagery Intelligence have contributed to the construction of a reconnaissance pod system DB-110. The main aim of this article was a comparison of pictures acquired in the visible, near-infrared and mid-infrared ranges. The analyses was carried out by co...Show More

Analysis of Reconnaissance Imagery Acquired in Different Spectral Ranges of the Electromagnetic Spectrum

Michal Kedzierski;Damian Wierzbicki;Paulina Delis;Marcin Walkowiak

Year: 2017 | Conference Paper |

Detection of Gross Errors in the Elements of Exterior Orientation of Low-Cost UAV Images

Michal Kedzierski;Anna Fryśkowska;Damian Wierzbicki;Aleksandra Grochala;Paulina Nerc

2016 Baltic Geodetic Congress (BGC Geomatics)
Year: 2016 | Conference Paper |
Cited by: Papers (8)
In recent time we can observe growing interest of the photogrammetric products, which were made with using imagery acquired from low altitudes with the use of unmanned aerial vehicles (UAV). Due to the lower costs of UAV photogrammetry flight missions they are often attractive from the point of view of photogrammetry. In realization of photogrammetric flight missions at low altitude so far not com...Show More

Detection of Gross Errors in the Elements of Exterior Orientation of Low-Cost UAV Images

Michal Kedzierski;Anna Fryśkowska;Damian Wierzbicki;Aleksandra Grochala;Paulina Nerc

Year: 2016 | Conference Paper |

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