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The Study of Remote Sensing Image Data Process Based on the MODIS 1B

机译:基于MODIS 1B的遥感影像数据处理研究

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MODIS has wide spectral range and spatial coverage, as well as the continuous coverage MODIS will provide over time, and observes the Earth as a unified nature, which is necessary for multidisciplinary studies of land, ocean, atmospheric processes and so on, at the same time, it provide us the global data for at least 15 years. All of these characters made the great use of MODIS data. Today the data of MODIS is usually used in the long term observation of the earth, the monitoring of earth environment and natural disasters. With its great important use and then there are many studies were worked on the data process of MODIS data. For the data process of MODIS, such as eliminate of bowtie and stripe noise, there are many method theories, but what is more easily is that we process these in mature RS software. In this paper, we introduced the reason of appearance of bowtie and stripe noise and the method to process these of MODIS 1B in ENVI and ERDAS, At the same time we use sample data with several corresponding processes to get verification.
机译:MODIS具有广泛的光谱范围和空间覆盖范围,并且MODIS将随时间提供连续的覆盖范围,并且将地球视为统一的自然环境,这对于陆地,海洋,大气过程等的多学科研究是必需的。时间,它为我们提供了至少15年的全球数据。所有这些字符都充分利用了MODIS数据。如今,MODIS的数据通常用于对地球的长期观测,对地球环境和自然灾害的监视。由于它的重要用途,因此对MODIS数据的数据处理进行了许多研究。对于MODIS的数据处理,例如消除领结和条纹噪声,有许多方法理论,但更容易的是,我们在成熟的RS软件中进行处理。本文介绍了领结和条纹噪声出现的原因以及在ENVI和ERDAS中处理MODIS 1B的原因,同时,我们还使用了具有几个相应过程的样本数据进行验证。

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