• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on graphic and image processing >A Change Detection Method for Remote Sensing Image Based on LBP and SURF Feature
【24h】

A Change Detection Method for Remote Sensing Image Based on LBP and SURF Feature

机译：基于LBP和SURF特征的遥感影像变化检测方法

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

摘要

Finding the change in multi-temporal remote sensing image is important in many the image application. Because of the infection of climate and illumination, the texture of the ground object is more stable relative to the gray in high-resolution remote sensing image. And the texture features of Local Binary Patterns (LBP) and Speeded Up Robust Features (SURF) are outstanding in extracting speed and illumination invariance. A method of change detection for matched remote sensing image pair is present, which compares the similarity by LBP and SURF to detect the change and unchanged of the block after blocking the image. And region growing is adopted to process the block edge zone. The experiment results show that the method can endure some illumination change and slight texture change of the ground object.
机译：在许多图像应用中，找到多时相遥感图像的变化非常重要。由于气候和光照的影响，高分辨率遥感影像中地面物体的纹理相对于灰色更为稳定。局部二值图案（LBP）和加速鲁棒特征（SURF）的纹理特征在提取速度和光照不变性方面非常出色。存在一种用于匹配的遥感图像对的变化检测的方法，该方法通过LBP和SURF比较相似度以检测在对图像进行分块之后块的变化和未改变。并且采用区域生长来处理块边缘区域。实验结果表明，该方法能够忍受地面物体的光照变化和轻微的纹理变化。

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