• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International symposium on multispectral image processing and pattern recognition >A sea-land segmentation algorithm based on multi-feature fusion for a large-field remote sensing image
【24h】

A sea-land segmentation algorithm based on multi-feature fusion for a large-field remote sensing image

机译：基于多特征融合的大场遥感图像海陆分割算法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Abstract:Sea-land segmentation is one of the key technologies of sea target detection in remote sensing images. At present, the existing algorithms have the problems of low accuracy, low universality and poor automatic performance. This paper puts forward a sea-land segmentation algorithm based on multi-feature fusion for a large-field remote sensing image removing island. Firstly, the coastline data is extracted and all of land area is labeled by using the geographic information in large-field remote sensing image. Secondly, three features (local entropy, local texture and local gradient mean) is extracted in the sea-land border area, and the three features combine a 3D feature vector. And then the Multi-Gaussian model is adopted to describe 3D feature vectors of sea background in the edge of the coastline. Based on this multi-gaussian sea background model, the sea pixels and land pixels near coastline are classified more precise. Finally, the coarse segmentation result and the fine segmentation result are fused to obtain the accurate sea-land segmentation. Comparing and analyzing the experimental results by subjective vision, it shows that the proposed method has high segmentation accuracy, wide applicability and strong anti-disturbance ability.
机译：摘要：海陆分割是遥感影像中海目标检测的关键技术之一。目前，现有算法存在精度低，通用性差，自动性能差的问题。提出了一种基于多特征融合的海域分割算法。首先，利用大场遥感图像中的地理信息提取海岸线数据，对整个土地面积进行标注。其次，在海陆边界区域提取了三个特征（局部熵，局部纹理和局部梯度均值），并且这三个特征结合了3D特征向量。然后采用Multi-Gaussian模型描述海岸线边缘海底背景的3D特征向量。基于此多高斯海洋背景模型，可以对海岸线附近的海象素和陆地象素进行更精确的分类。最后，将粗分割结果与细分割结果融合，以获得准确的海陆分割结果。通过主观视觉对实验结果进行比较和分析，表明该方法分割精度高，适用范围广，抗干扰能力强。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号