首页> 外文会议>IEEE International Conference on Signal, Information and Data Processing >Pan-Sharpening Framework Based on Laplacian Sharpening with Brovey
【24h】

Pan-Sharpening Framework Based on Laplacian Sharpening with Brovey

机译:基于Brovey的Laplacian锐化的泛锐化框架

获取原文

摘要

Pan-sharpening is a rapidly growing independent discipline considered with and finds many applications in several research fields. Pan-sharpening is the merger of high spec-tral resolution multispectral image and high spatial resolution panchromatic image which gives the best of both in the resultant image. This paper presents a novel pan-sharpening hybrid technique by combining Brovey with Laplacian filter (LF). The Laplacian filter is an advanced edge sharpening technique using the second derivative. The Laplacian edge sharpening is playing a significant role to enhance edge contrast to highly improve image visibility (Acutance). The sharpening filter performs to identify sharp edge boundaries in the image, such as the edge between a subject and a background of a contrasting color, and increase the image contrast in the area immediately around the edge. The Brovey is also a popular fusion method used for its ability in preserving the spatial information of an image. The proposed hybrid technique encompasses Brovey with LF to improve the results (Qualitatively and quantitatively) of pan-sharpening. The resultant image is assessed by three performance matrices quantitative metric, qualitative metric, and qualitative error image.
机译:泛锐化是一门快速发展的独立学科,已在多个研究领域中得到广泛应用。全景锐化是高光谱分辨率多光谱图像和高空间分辨率全色图像的融合,在最终图像中兼具两者的优点。本文提出了一种新的泛锐混合技术,将Brovey与Laplacian滤波器(LF)结合使用。拉普拉斯滤波器是使用二阶导数的先进边缘锐化技术。拉普拉斯边缘锐化在增强边缘对比度,高度改善图像可见性(Acutance)方面起着重要作用。锐化滤镜用于识别图像中的锐利边缘边界,例如对象和对比色背景之间的边缘,并在边缘周围的区域中增加图像的对比度。 Brovey也是一种流行的融合方法,因为它能够保存图像的空间信息。所提出的混合技术将Brovey与LF结合在一起,以(定性和定量地)改善泛锐化的结果。通过三个性能矩阵定量度量,定性度量和定性误差图像评估生成的图像。

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