资源简介

摘要： 提出了一种基于物理意义图像融合的反照率降尺度算法,用以增强现有全球陆表特征参量（GLASS）反照率产品的空间分辨率,快速生成高分辨率反照率。首先对GLASS反照率产品和HJ反射率数据进行预处理,包括图像重投影、图像裁剪、雪像元和无效值像元掩膜；然后基于朗伯假设,将HJ反射率数据通过窄波段到宽波段的转换得到初级的高分辨率反照率；在此基础上将低分辨率的GLASS反照率产品与高分辨率的HJ数据进行融合得到高分辨率的反照率产品,其中考虑了GLASS产品的空间响应；最后分析了融合得到的高分辨率反照率影像,并使用黑河中游地面实测数据对融合结果进行了验证。结果显示:利用基于物理意义图像融合的反照率降尺度算法得到的高分辨率反照率产品精度较高（RMSE为0.02左右）,并且该方法快速高效,具有推广和发展成为业务化算法的潜力。 关键词： 地表反照率;  GLASS;  HJ;  数据融合;  高空间分辨率     Abstract: An albedo downscaling algorithm based on image fusion with consideration of physical meaning was proposed to enhance the spatial resolution of the Global LAnd Surface Satellite (GLASS) albedo product and produce high\|resolution albedo rapidly.Firstly,data processings including image reprojection,image cropping,snow pixels masking were conducted for 1km GLASS albedo and 30m multiband reflectance acquired by the CCD sensor onboard the Chinese satellites HJ1A/1B (short for HJ/CCD).Secondly,the preliminary high\|resolution albedo was estimated by HJ/CCD reflectance through the method of narrowband to broadband conversion.Thirdly,considering the spatial response of GLASS albedo,the coarse\|resolution GLASS albedo and the preliminary high\|resolution albedo were fused to yield the final high\|resolution albedo.In the end,the fusion albedo with high spatial resolution was shown,analyzed and validated with In Situ data of middle Heihe River Basin.The results show that the high\|resolution albedo obtained by downscaling algorithm based on image fusion of physical meaning is with high precision (RMSE was 0.02 or so),and the algorithm is fast and efficient,indicating its potential to become an operational algorithm for high\|resolution albedo product.

相关资源

1. 水质遥感监测的关键要素叶绿素a的反演算法研究进展
2. 基于无人机遥感技术的森林参数获取研究进展
3. 基于无线传感器网络的森林生态系统观测试验平台构建
4. 基于无人机激光雷达的森林冠层高度分析
5. 多源时序国产卫星影像的森林火灾动态监测
6. 基于无人机遥感技术的台风灾害倒伏绿化树木检测

下载说明

·如果您发现该资源不能下载，请通知管理员.gissky@gmail.com

·为确保下载的资源能正常使用，请使用[WinRAR v3.8]或以上版本解压本站资源,缺省解压密码www.gissky.net ，如果是压缩文件为分卷多文件，请依次下载每一个文件，并按照顺序命名为1.rar,2.rar,3.rar...，然后鼠标右击1.rar解压.

·为了保证您快速的下载速度，我们推荐您使用[网际快车]等专业工具下载.

·站内提供的资源纯属学习交流之用,如侵犯您的版权请与我们联系.