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Construction of a Semiautomatic Contour of Areal Objects on Hyperspectral Satellite Images

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Abstract

In this article, we formalize the problem of semiautomatic construction of the contour of area objects from satellite hyperspectral images and present a solution algorithm using PCA and Dijkstra’s algorithm. The contour is considered as the boundary of an object, which can be used for its segmentation and classification. The semiautomatic contour accepts reference points specified by the operator. The formalization of the algorithm is completed.

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Funding

This work received financial support from the project “Technology Development Agreement of Developing Algorithms of Remote Sensing Image Processing,” agreement no. 22CETC19-ICN1785.

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Authors and Affiliations

  1. Nanjing Research Institute of Electronics Engineering, Qinhuai District, 210007, Nanjing City, Jiangsu Province, China

    Bin Lei & Wei Wan

  2. Belarusian State University, 220030, Minsk, Republic of Belarus

    Artiom Nedzved

  3. United Institute of Informatics Problems, National Academy of Sciences of Belarus, 220012, Minsk, Republic of Belarus

    Alexei Belotserkovsky

Authors
  1. Bin Lei
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  2. Wei Wan
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  3. Artiom Nedzved
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  4. Alexei Belotserkovsky
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Corresponding authors

Correspondence to Bin Lei, Wei Wan, Artiom Nedzved or Alexei Belotserkovsky.

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The authors of this work declare that they have no conflicts of interest.

Additional information

Bin Lei. Graduated from Nanjing University in 2009. He is a deputy chief engineer of CETC LES Information System Co., Ltd. Engaged in large-scale electronic information system research and development and large-scale smart city system demonstration design. Held and participated in the top-level design work of a number of national key projects, and won first prize for scientific and technological progress of China Electronics Technology Group Corporation Progress.

Wei Wan. Graduated from Wuhan University in 2019. He is an engineer of CETC LES Information System Co., Ltd. Engaged in space geodesy,satellite positioning technology and application, satellite remote sensing monitoring and application research. Participated in a number of National Natural Science Foundation projects, published 1 patent, 6 papers.

Artiom Nedzved. Born in 2003. In 2020, he entered the Faculty of Applied Mathematics and Informatics at BSU. Currently a 4th year student at the Department of Computer Technologies and Systems. Research interests: multispectral images, color conversion, image analysis. Author of 3 articles.

Alexei Belotserkovsky. Ph.D. Belotserkovsky completed his education at the Belarusian State Polytechnic Academy in 2000. Currently serving as the Head of the Intelligent Information Systems Department at the United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Dr. Belotserkovsky is an esteemed expert in the field of space. He serves as the Space National Contact Point in Horizon Europe (HEU) and represents Belarus at the UN Committee on the Peaceful Uses of Outer Space (COPUOS). Additionally, he assumes the role of National Coordinator for the World Space Week in Belarus and leads the “BYspace” community.

Dr. Belotserkovsky’s professional interests span diverse areas, including Computer Vision, Pattern Recognition, Image Processing, and Data Mining for technical and medical diagnostics. He has authored and co-authored approximately 100 papers in scientific journals and international conference proceedings.

Since 2012, Dr. Belotserkovsky has held the position of chief executor for projects focused on satellite image processing, datacubes, UAV navigation, and the development of intelligent systems to support the modeling of unmanned vehicle flights.

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Lei, B., Wan, W., Nedzved, A. et al. Construction of a Semiautomatic Contour of Areal Objects on Hyperspectral Satellite Images. Pattern Recognit. Image Anal. 34, 317–330 (2024). https://doi.org/10.1134/S1054661824700111

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