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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-3-2024
https://doi.org/10.5194/isprs-annals-X-3-2024-187-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-X-3-2024-187-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
04 Nov 2024
| 04 Nov 2024
Integration of weighted majority voting in machine learning algorithms to enhance pine tree crown mapping on UAV imagery
Ali Hosingholizade
Dept. of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran
Yousef Erfanifard
Dept. of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran
Seyed Kazem Alavipanah
Dept. of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran, Iran
Saied Pirasteh
Institute of Artificial Intelligence, School of Mechanical and Electrical Engineering, Shaoxing University, China
Department of Geotechnics and Geomatics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, India
Virginia Garcia Millan
Dept. of Computer Science and Programming Languages, School of Computer Science and Enginering, University of Málaga, Málaga, Spain
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Short summary
Short summary
The Intergovernmental Technical Panel on Soils has completed the first State of the World's Soil Resources Report. The gravest threats were identified for all the regions of the world. This assessment forms a basis for future soil monitoring. The quality of soil information available for policy formulation must be improved.
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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