...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >A Block-Based Multifeature Extraction Scheme for SAR Image Registration
【24h】

A Block-Based Multifeature Extraction Scheme for SAR Image Registration

机译：SAR图像配准的基于块的多特征提取方案

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this letter, a block-based multifeature extraction scheme is proposed to register the synthetic aperture radar (SAR) images. With appropriate modifications, the scale-invariant feature transform (SIFT) and the SAR-SIFT operators are used to extract two types of features including texture points and corner points from the SAR images. The input images are divided into a certain number of blocks and the two types of features are extracted from each of the blocks for the uniform distribution of the features. A novel scheme is presented to obtain these features in the same proportion from the input images. The proposed method has the advantages of proper controllability of the number of extracted features and the uniform distribution of the features. A correct match identification by local searching algorithm is proposed to significantly increase the number of correct matches between the SAR images. Experiments on three pairs of multimodal and multitemporal SAR images demonstrate the effectiveness of the proposed method.
机译：在这封信中，提出了一种基于块的多特征提取方案来配准合成孔径雷达（SAR）图像。经过适当的修改，比例尺不变特征变换（SIFT）和SAR-SIFT运算符用于从SAR图像中提取两种类型的特征，包括纹理点和拐角点。将输入图像划分为一定数量的块，并从每个块中提取两种类型的特征，以使特征均匀分布。提出了一种新颖的方案来从输入图像中以相同比例获得这些特征。所提出的方法具有提取特征数量的适当可控制性和特征均匀分布的优点。提出了通过局部搜索算法进行正确匹配的识别，以显着增加SAR图像之间正确匹配的数量。对三对多模式和多时间SAR图像进行的实验证明了该方法的有效性。

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