FCRS-Mamba: a fine-scale remote sensing classification method for coral reef geomorphology based on an omnidirectional selective scanning strategy

Wenshuo ZHU; Guangbo REN; Yabin HU; Feifei ZHANG; Yi MA; Qiuhua TANG; Qi SHI; Hongliang MENG; Bo AI

doi:10.1007/s00343-026-5501-1

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FCRS-Mamba: a fine-scale remote sensing classification method for coral reef geomorphology based on an omnidirectional selective scanning strategy

Ocean color remote sensing algorithms | Updated：2026-08-17

- FCRS-Mamba: a fine-scale remote sensing classification method for coral reef geomorphology based on an omnidirectional selective scanning strategy
- Journal of Oceanology and Limnology Vol. 44, Pages: 1-21(2026)
- Affiliations：
  
  1.College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
  2.First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
  3.Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources, Qingdao 266061, China
  4.College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266500, China
  5.South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
  6.Shandong Twenty First Century Aerospace Information Technology Co., Ltd., Yantai 264000, China
  7.National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Xi’an 710072, China
- Author bio：
  
  huyabin@fio.org.cn
- Funds：
- DOI：10.1007/s00343-026-5501-1
  CLC：
- Received：10 December 2025，
  
  Accepted：01 June 2026，
  
  Online First：17 August 2026，
  
  Published：01 September 2026
- Accepted：
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ZHU Wenshuo,REN Guangbo,HU Yabin,et al.FCRS-Mamba: a fine-scale remote sensing classification method for coral reef geomorphology based on an omnidirectional selective scanning strategy[J].Journal of Oceanology and Limnology,
DOI：

ZHU Wenshuo,REN Guangbo,HU Yabin,et al.FCRS-Mamba: a fine-scale remote sensing classification method for coral reef geomorphology based on an omnidirectional selective scanning strategy[J].Journal of Oceanology and Limnology, DOI：.

摘要

Abstract

Coral reefs are among the most important ecosystems in the ocean

and achieving fine-scale geomorphic classification is essential for ecological conservation and resource management. However

the complexity

diversity

and stratified nature of reef geomorphic structures

together with heterogeneity arising from variations in water depth

continue to challenge conventional classification approaches. To address these limitations

this study introduces FCRS-Mamba

a fine-scale coral reef geomorphic classification model designed around an omnidirectional selective scanning strategy. The model incorporates an eight-direction Omnidirectional Selective Scan Module (OSSM) as its central component to effectively extract spatial features from high-resolution reef remote sensing imagery across multiple directions. Classification experiments were conducted on Antelope Reef and North Reef using imagery from the Beijing-3A (BJ-3A) and GF-2 satellites. FCRS-Mamba achieved an mIoU of 81.49% for fifteen geomorphic categories on Antelope Reef and 77.43% for nine categories on North Reef. Compared with existing approaches

it improved the average mIoU by 7.24% and 10.95% on Antelope Reef and North Reef

respectively. With its high classification accuracy

the model provides reliable data for coral reef ecological monitoring and marine resource management

thereby supporting ecological restoration planning

protected area delineation

and the advancement of sustainable marine ecosystem development.

关键词

Keywords

references

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