The Efficacy of Semi-automatic Classification Result by Using Different Cloud Detection and Diminution Method
نویسندگان
چکیده
Passive Remote Sensing is multi-spectral, rapid and high resolution, but it is very easily influenced by intended to the atmosphere conditions, such as fog and haze. In the past, there have been many studies removed the noise of cloud and haze. This study proposes to use the differences between five filtering methods to judge the differences between their efficiencies. Fast Fourier transforms are used in all five methods to remove clouds. All five methods apply the high-pass filter concept. Standard reference data are used as a basis for companion. The results show that there is a trade-off between classification and appearance; high amounts of information smoothing worsen classification accuracy but improve appearance. Corresponding author. Tel.: +886-424 516 669 # 110; faz: +886 424 519 278 e-mail adress: [email protected] (C. Y. Hau)
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