|
|||||
|
|
| 利用能量变分方法进行高光谱数据去噪处理 | |
| 引用本文： | 高建,张飞艳,谢伟,秦前清.利用能量变分方法进行高光谱数据去噪处理[J].武汉大学学报(信息科学版),2012,37(3):322-325. |
| 作者姓名： | 高建 张飞艳 谢伟 秦前清 |
| 作者单位： | 1. 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079 2. 武汉大学电子信息学院,武汉市珞喻路129号,430079 3. 武汉大学计算机学院,武汉市珞喻路129号,430079 |
| 基金项目： | 湖北省自然科学基金资助项目，湖北省自然科学基金重点资助项目，国家科技支撑计划资助项目，中央高校基本科研业务费专项资金资助项目，国家自然科学基金面上资助项目 |
| 摘 要： | 利用超平面最小方案,针对高光谱数据在空间维和光谱维建立能量函数,通过两个权重系数调节空间维数据曲面光滑程度和光谱曲线光滑程度,达到联合抑制噪声的目的。实验中,对Hamamatsu相机和AVIRIS采集的高光谱影像数据中比较严重的噪声污染,该方法有效地降低了噪声的影响,在AVIRIS水吸收带处的去噪效果尤为明显。 |
| 关 键 词： | 能量变分 超平面最小 高光谱影像 去噪 |
Denoising on Hyperspectral Data by Energy Variations |
|
| GAO Jian,ZHANG Feiyan,XIE Wei,QIN Qianqing.Denoising on Hyperspectral Data by Energy Variations[J].Geomatics and Information Science of Wuhan University,2012,37(3):322-325. | |
| Authors: | GAO Jian ZHANG Feiyan XIE Wei QIN Qianqing |
| Institution: | 1(1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China)(2 School of Electronic Information,Wuhan University,129 Luoyu Road,Wuhan 430079,China)(3 School of Computer,Wuhan University,129 Luoyu Road,Wuhan 430079,China) |
| Abstract: | In order to denoise in spatial and spectral dimensions at the same time,a denoising method based on energy variations is provided for hyperspectral image.With the hypersurface minimal scheme,energy functional is built of spatial surface area,spectral curve length and residual l2 norm.The minimal surface area term smoothes data in spatial dimensions and the minimal curve length term works in spectral dimension whose weights are determined by two positive coefficients.The surface mean curvature and curve curvature drive suppressing of noise together.Then perturbation is abated by available neighboring reliable data.The proposed method works well in experiments on hyperspectral image from Hamamatsu camera and AVIRIS. |
| Keywords: | energy variations hypersurface minimal hyperspectral image denoising |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |