ODinMJ: <i>A red, green, blue-thermal dataset for mountain jungle object detection</i>
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Mountain jungle</i> is one of the important types of land cover on Earth’s surface and a crucial component of terrestrial ecosystems. According to statistics, mountains occupy approximately 24% of the global land area, while jungles cover about 31% of the terrestrial surface <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref>. This complex ecosystem nurtures a diverse array of rare and precious plant and animal species, making remarkable contributions to the maintenance and protection of Earth’s biodiversity. Additionally, mountain jungles serve as a habitat that many humans depend on for survival, supplying more than half of the world’s freshwater resources. Therefore, mountain jungles are of great research significance.
Authors
- Tao Shen (ORCID: https://orcid.org/0000-0003-1273-7950)
- Yanfeng Gu (ORCID: https://orcid.org/0000-0003-1625-7989)
- Bei Cheng (ORCID: https://orcid.org/0009-0004-9423-9158)
- Qingwang Wang (ORCID: https://orcid.org/0000-0001-5820-5357)
- Haochen Song
- Liyao Zhou
- Xin Qu
- Pengcheng Jin
- Junlin Ouyang (ORCID: https://orcid.org/0000-0002-7876-3644)
Institutions
- Kunming University of Science and Technology (CN)
- Harbin Institute of Technology (CN)
Publication Details
- Journal
- IEEE Geoscience and Remote Sensing Magazine
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1109/mgrs.2024.3492069
- Citations
- 33
- Primary Topic
- Remote-Sensing Image Classification
- Type
- article
- Field-Weighted Citation Impact
- 10.55