Study on the Modeling and Classification of the Mixed Pixel Analysis on Vegetation Hyperspectral Signatures
碩士 === 國立嘉義大學 === 森林暨自然資源學系研究所 === 99 === Accurate measurement and characterization of fluctuations in the remote sensing data from satellite, airborne or in situ measurement. The adjacency effect increases the reflection of the target pixel from nearby pixels and path scattering. When substances wi...
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ndltd-TW-099NCYU53590032015-10-19T04:03:42Z http://ndltd.ncl.edu.tw/handle/63526429667807224219 Study on the Modeling and Classification of the Mixed Pixel Analysis on Vegetation Hyperspectral Signatures 高光譜遙測植生光譜混合計量模式與分類法之研究 MINGCHE HSIEH 謝明哲 碩士 國立嘉義大學 森林暨自然資源學系研究所 99 Accurate measurement and characterization of fluctuations in the remote sensing data from satellite, airborne or in situ measurement. The adjacency effect increases the reflection of the target pixel from nearby pixels and path scattering. When substances with different spectral properties in the same pixel within the time, there will be mixed pixel. Mixed pixel is not entirely belong to a particular surface features, in order to make image classification more precise, It is necessary to divide into a variety of features in the percentage of pixel. There are many mathematic models and atmospheric correction methods, which could remove the adjacency effect from the satellite and airborne imaginary, but few discusses are made about the influence of adjacency effect on field spectroscopy, especially the variable come from the measure distance, which means the size of the target pixel, and furthermore. As long as the measure distance increases, it may cause the path scattering unpolarized reflectance come from nearby pixels. Owing to the atmosphere and solar irradiance change varyingly in outdoor measurements, the research is indoor test under artificial light source to reduce the effect of uncertainties by measuring the reflectance of light energy from spectroradiometer. We evaluate the influence of pixel sizes on the adjacency effect from different background canopy density and selective absorption by polarizer. In this study, we discuss the contribution from differerent ratio of the vegetation and soil spectral reflectance and spectral characteristics, and the use of polarized lens that filter polarized light outside the pixal to find out the contribution to spectral reflectance, the results show a quadratic function can model its response mode. Chinsu Lin 林金樹 2011 學位論文 ; thesis 98 zh-TW |
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碩士 === 國立嘉義大學 === 森林暨自然資源學系研究所 === 99 === Accurate measurement and characterization of fluctuations in the remote sensing data from satellite, airborne or in situ measurement. The adjacency effect increases the reflection of the target pixel from nearby pixels and path scattering. When substances with different spectral properties in the same pixel within the time, there will be mixed pixel. Mixed pixel is not entirely belong to a particular surface features, in order to make image classification more precise, It is necessary to divide into a variety of features in the percentage of pixel. There are many mathematic models and atmospheric correction methods, which could remove the adjacency effect from the satellite and airborne imaginary, but few discusses are made about the influence of adjacency effect on field spectroscopy, especially the variable come from the measure distance, which means the size of the target pixel, and furthermore. As long as the measure distance increases, it may cause the path scattering unpolarized reflectance come from nearby pixels. Owing to the atmosphere and solar irradiance change varyingly in outdoor measurements, the research is indoor test under artificial light source to reduce the effect of uncertainties by measuring the reflectance of light energy from spectroradiometer. We evaluate the influence of pixel sizes on the adjacency effect from different background canopy density and selective absorption by polarizer. In this study, we discuss the contribution from differerent ratio of the vegetation and soil spectral reflectance and spectral characteristics, and the use of polarized lens that filter polarized light outside the pixal to find out the contribution to spectral reflectance, the results show a quadratic function can model its response mode.
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Chinsu Lin |
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Chinsu Lin MINGCHE HSIEH 謝明哲 |
author |
MINGCHE HSIEH 謝明哲 |
spellingShingle |
MINGCHE HSIEH 謝明哲 Study on the Modeling and Classification of the Mixed Pixel Analysis on Vegetation Hyperspectral Signatures |
author_sort |
MINGCHE HSIEH |
title |
Study on the Modeling and Classification of the Mixed Pixel Analysis on Vegetation Hyperspectral Signatures |
title_short |
Study on the Modeling and Classification of the Mixed Pixel Analysis on Vegetation Hyperspectral Signatures |
title_full |
Study on the Modeling and Classification of the Mixed Pixel Analysis on Vegetation Hyperspectral Signatures |
title_fullStr |
Study on the Modeling and Classification of the Mixed Pixel Analysis on Vegetation Hyperspectral Signatures |
title_full_unstemmed |
Study on the Modeling and Classification of the Mixed Pixel Analysis on Vegetation Hyperspectral Signatures |
title_sort |
study on the modeling and classification of the mixed pixel analysis on vegetation hyperspectral signatures |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/63526429667807224219 |
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