An Algorithm for Separating Cloud-Fog from Surface Features Based on Mixed Pixels

doi:10.6046/gtzyyg.2010.01.09

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Abstract

The difficulties in separating cloud-fog from surface features in different time zones were studied in this paper.

Based on the principle of visual interpretation, the authors have developed an adaptive threshold algorithm for separating cloud

-fog from surface features. The parameters were determined based on MODIS data, and the stability, feasibility and precision of

this algorithm were verified based on validation data. According to the results, this algorithm has strong stability and

feasibility and can be performed automatically.

Keywords Land covering Land utilization Remote sensing technology

Issue Date: 22 March 2010

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Cite this article:

MA Hui-Yun, FAN Chong, ZHAO Xiang-Dong. An Algorithm for Separating Cloud-Fog from Surface Features Based on Mixed Pixels[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(1): 55-59.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.01.09 OR https://www.gtzyyg.com/EN/Y2010/V22/I1/55

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