机构

• 长春光学精密机械与物... [1]
• 遥感与数字地球研究所 [1]

采集方式

• OAI收割 [2]

内容类型

• 会议论文 [2]

发表日期

• 2010 [1]
• 1998 [1]

学科主题

筛选

浏览/检索结果: 共2条，第1-2条 帮助 限定条件 内容类型：会议论文     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Fast color-transfer-based image fusion method for merging infrared and visible images (EI CONFERENCE) 会议论文  OAI收割 Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, April 7, 2010 - April 8, 2010, Orlando, FL, United states 作者:  Xu S. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 We present a computationally efficient color image fusion algorithm for merging infrared and visible images. At the core of the proposed method is the color transfer technique based on the linear YCBCR space. The method directly uses the grayscale fused image and the difference signals of the input images to construct the source YCBCR components  then uses the statistical color transfer technique to form a color fused image that takes the target image's color characteristics. Two different strategies  which respectively employ the pixel averaging fusion scheme and the multiresolution fusion scheme as the grayscale image fusion solution  are proposed to fulfill different user needs. The simple strategy using the pixel averaging fusion scheme answers to a need of easy implementation and speed of use. And the complex strategy using the multiresolution fusion scheme answers to the high quality need of the fused products. In addition  we also describe some useful theories about color-transfer-based image fusion. Experimental results show that the proposed color image fusion algorithm can effectively produce a natural appearing "daytime-like" color fused image  and even using the pixel averaging fusion scheme to implement the grayscale fusion can also provide a pleasing result. 2010 Copyright SPIE - The International Society for Optical Engineering.   Application of Bayesian theorem in quantitative remote sensing 会议论文  OAI收割 Fusion'98: Proceedings of the International Conference on Multisource-Multisensor Information Fusion, Vols 1 and 2, Athens Li, XW; Wang, JD; Strahler, AH 收藏  |  浏览/下载：25/0  |  提交时间：2014/12/07 Bayesian theorem  quantitative remote sensing  a priori knowledge  model  inversion  VEGETATION  INVERSION