Sea-Land Segmentation of Remote Sensing Image Based on Spatial Constraint Model Superpixel Method.
IGARSS(2021)
Abstract
Aiming at the problem of sea-land segmentation for maritime target detection, this paper proposes a sea and land segmentation method based on a spatial constraint model merging superpixel regions. Firstly, the remote sensing image is divided into superpixel regions with similar size; secondly, the spatially constrained color texture model is applied to the similarity measurement of adjacent superpixel regions, and finally and the clustering and merging of connected nodes are completed based on the idea of region adjacency graph and complete the division of land and sea. The comparative experiment of the optical remote sensing image database confirms the effectiveness of the proposed method in optical remote sensing image sea-land segmentation.
MoreTranslated text
Key words
sea-land segmentation,remote sensing image,superpixel segmentation,region adjacency graph,spatial constraint feature model
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined