ADAPTIVE RECONSTRUCTION OF NDVI TIME SERIES WITH MULTI-PERIODIC HARMONIC MODEL

被引：0
|
作者：
Lee, Sang-Hoon [1 ]
机构：
[1] Kyungwon Univ, Dept Ind Engn, Songnam, South Korea
来源：
2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2011年
关键词：
Harmonic Model; Multiple Period; Adaptive Reconstruction; Negative Noise; NOISE;
D O I：
10.1109/IGARSS.2011.6049230
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In satellite remote sensing, irregular temporal sampling is a common feature of geophysical and biological process on the earth's surface. A multiple harmonic model is used to adaptively reconstruct remotely-sensed image series which have missing observation or noises resulted from mechanical problems or environmental conditions. For the system assessment, simulation data were generated from a model of negative errors, based on the fact that the observation is mainly suppressed by bad weather. The experimental results of this simulation study show the potentiality of the proposed system for real-time monitoring on the image series observed by imperfect sensing technology from the environment which are frequently influenced by bad weather.
引用
收藏
页码：716 / 719
页数：4
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