| 基于纹理特征的拉普拉斯金字塔形微波遥感图像融合 |
| |
| 引用本文： | 曹广真,侯鹏,金亚秋,毛显强. 基于纹理特征的拉普拉斯金字塔形微波遥感图像融合[J]. 遥感技术与应用, 2007, 22(5): 628-632. DOI: 10.11873/j.issn.1004-0323.2007.5.628 |
| |
| 作者姓名： | 曹广真 侯鹏 金亚秋 毛显强 |
| |
| 作者单位： | 1.中国气象局中国遥感卫星辐射测量和定标重点开放实验室 国家卫星气象中心, 北京 100081；2.北京师范大学资源学院, 北京 100875;3.复旦大学波散射和遥感信息国家教育部重点实验室，上海 200433；4.北京师范大学环境学院, 北京 100875 |
| |
| 基金项目： | 国家重点基础研究发展计划(973计划) |
| |
| 摘 要： | 提出基于图像纹理特征（条件信息）的拉普拉斯金字塔区域式融合方法，充分利用拉普拉斯金字塔形融合法多分辨率分析的优势以及微波遥感图像乘性相干斑噪声完全发育的特点,并将其应用于复杂城区不同极化方式的微波遥感图像的融合处理，将融合结果与基于图像方差、熵值和边缘特征的融合结果进行对比，显示了较低的平均误差、较小的交叉熵、较高的峰值信噪比和较大的相关系数，验证了其可行性和有效性。
|
| 关 键 词： | 微波遥感图像 条件信息 城市区域 拉普拉斯金字塔形变换 |
| 文章编号： | 1004-0323（2007）05-0628-05 |
| 收稿时间： | 2007-05-10 |
| 修稿时间： | 2007-08-22 |
Image Fusion of SAR Remote Sensing with Laplacian Pyramid Transformation Fusion Algorithm Based on-Local Conditional Information of Image |
| |
| CAO Guang-zhen,HOU Peng,JIN Ya-qiu,MAO Xian-qiang. Image Fusion of SAR Remote Sensing with Laplacian Pyramid Transformation Fusion Algorithm Based on-Local Conditional Information of Image[J]. Remote Sensing Technology and Application, 2007, 22(5): 628-632. DOI: 10.11873/j.issn.1004-0323.2007.5.628 |
| |
| Authors: | CAO Guang-zhen HOU Peng JIN Ya-qiu MAO Xian-qiang |
| |
| Affiliation: | 1. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration (LRCVES/CMA), Beijing 100081, China;2.Resources School, Beijing Normal University, Beijing 100875, China；;3.The Key Laboratory for Wave Scattering and Remote Sensing Information (Ministry of Education) Fudan University, Shanghai 200433, China;4.Environmental School, Beijing Normal University, Beijing 100875, China |
| |
| Abstract: | Taking advantage of Laplacian pyramid transformation and statistical characteristic of fully developed speckle in SAR images,a Laplacian pyramid transformation fusion algorithm based on local conditional information of SAR image is proposed.When applied to the fusion of alternating polarization SAR images of urban terrain,it provides higher quality fusion results than fusion algorithms based on data variation,entropy or edge features,with lower mean absolute error and cross entropy as well as higher peak to peak signal to noise ratio and correlation coefficient. |
| |
| Keywords: | SAR image Local conditional information Urban area Laplacian pyramid transformation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《遥感技术与应用》浏览原始摘要信息 |
|
点击此处可从《遥感技术与应用》下载全文 |
