MODIS影像合成算法研究和实现

doi:10.6046/gtzyyg.2004.02.03

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摘要

在探讨遥感影像合成算法的基础上,采用热红外云检测CV-MVC算法对MODIS影像进行合成,改进了影响合成效果的阈值因子。结果表明,该合成算法在不同尺度区域的影像合成中均取得了较好的效果。

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Abstract：

Cloud-free composition of MODIS data is successfully realized on the basis of improved composite algorithms developed in C++ language, and 16-day MODIS composite images covering China and its surrounding regions are generated. It can be concluded from the above result that the improved composite algorithms are feasible and effective under various conditions.

收稿日期: 2003-09-15 出版日期: 2011-08-02

基金资助:

中国科学院知识创新工程重大项目(KZCX1-SW-01);国家重点基础研究发展规划项目(G2000077900)资助。

作者简介: 蒋耿明(1975-),男,1997年6月毕业于武汉测绘科技大学,获摄影测量与遥感专业工学学士学位;2003年7月毕业于中国科学院遥感应用研究所,获地图学与地理信息系统专业理学硕士学位,现主要从事遥感和地理信息系统研究和开发工作,在国内发表论文多篇.

引用本文:

蒋耿明, 牛铮, 阮伟利, 王长耀. MODIS影像合成算法研究和实现[J]. 国土资源遥感, 2004, 16(2): 11-15，79.
JIANG Geng-ming, NIU Zheng, RUAN Wei-li, WANG Chang-yao . CLOUD-FREE COMPOSITION OF MODIS DATA AND ALGORITHM REALIZATION. REMOTE SENSING FOR LAND & RESOURCES, 2004, 16(2): 11-15，79.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2004.02.03 或 https://www.gtzyyg.com/CN/Y2004/V16/I2/11

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