Mangrove species classification using novel adaptive ensemble learning with multi-spatial-resolution multispectral and full-polarization SAR images-Reference-Cited by-同舟云学术

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Mangrove species classification using novel adaptive ensemble learning with multi-spatial-resolution multispectral and full-polarization SAR images

Published:2024-05-02 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Fu Bolin¹,Kuang Hongyuan¹,Wu Yan¹,Deng Tengfang¹,Sun Weiwei²,Shen Xiangjin³,Gao Ertao¹,He Hongchang¹,Jiang Linhang¹

Affiliation:

1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, People’s Republic of China

2. Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, People’s Republic of China

3. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People’s Republic of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2346277

Reference66 articles.

1. Quantifying Mangrove Extent Using a Combination of Optical and Radar Images in a Wetland Complex, Western Region, Ghana

2. Mapping spatial distribution and biomass of coastal wetland vegetation in Indonesian Papua by combining active and passive remotely sensed data

3. Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory

4. An Interpretable Prediction Model for Identifying N7-Methylguanosine Sites Based on XGBoost and SHAP

5. Mapping wetland using the object-based stacked generalization method based on multi-temporal optical and SAR data

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dual-Branch Feature Interaction Network for Coastal Wetland Classification Using Sentinel-1 and 2;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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