Rok 2024

• Detecting Objects of Various Categories in Optical Remote Sensing Imagery Using Neural Networks

  Publikacja

  • A. Madajczak
  • M. Ciecholewski

  - Rok 2024

  The effective detection of objects in remote sensing images is of great research importance, so recent years have seen a significant progress in deep learning techniques in this field. However, despite much valuable research being conducted, many challenges still remain. A lot of research projects focus on detecting objects of a single category (class), while correctly detecting objects of different categories is much harder. The...

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• Review of Segmentation Methods for Coastline Detection in SAR Images

  Publikacja

  • M. Ciecholewski

  - ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING - Rok 2024

  Synthetic aperture radar (SAR) images acquired by airborne sensors or remote sensing satellites contain the necessary information that can be used to investigate various objects of interest on the surface of the Earth, including coastlines. The coastal zone is of great economic importance and is also very densely populated. The intensive and increasing use of coasts and changes of coastlines motivate researchers to try to assess...

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Rok 2023

• Urban scene semantic segmentation using the U-Net model

  Publikacja

  • M. Ciecholewski

  - Rok 2023

  Vision-based semantic segmentation of complex urban street scenes is a very important function during autonomous driving (AD), which will become an important technology in industrialized countries in the near future. Today, advanced driver assistance systems (ADAS) improve traffic safety thanks to the application of solutions that enable detecting objects, recognising road signs, segmenting the road, etc. The basis for these functionalities...

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Rok 2021

• Computational Methods for Liver Vessel Segmentation in Medical Imaging: A Review

  Publikacja

  • M. Ciecholewski
  • M. Kassjański

  - SENSORS - Rok 2021

  The segmentation of liver blood vessels is of major importance as it is essential for formulating diagnoses, planning and delivering treatments, as well as evaluating the results of clinical procedures. Different imaging techniques are available for application in clinical practice, so the segmentation methods should take into account the characteristics of the imaging technique. Based on the literature, this review paper presents...

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