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Yongjian Li, He Li, Dazhao Fan, Zhixin Li and Song Ji
Sea ice extraction and segmentation of remote sensing images is the basis for sea ice monitoring. Traditional image segmentation methods rely on manual sampling and require complex feature extraction. Deep-learning-based semantic segmentation methods hav...
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Yidi Wei, Yongcun Cheng, Xiaobin Yin, Qing Xu, Jiangchen Ke and Xueding Li
Detailed information about mangroves is crucial for ecological and environmental protection and sustainable development. It is difficult to capture small patches of mangroves from satellite images with relatively low to medium resolution. In this study, ...
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Jiangfan Feng and Juncai Li
Image recording is now ubiquitous in the fields of endangered-animal conservation and GIS. However, endangered animals are rarely seen, and, thus, only a few samples of images of them are available. In particular, the study of endangered-animal detection...
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Esraa Elhariri, Nashwa El-Bendary and Shereen A. Taie
Crack detection on historical surfaces is of significant importance for credible and reliable inspection in heritage structural health monitoring. Thus, several object detection deep learning models are utilized for crack detection. However, the majority...
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