A Study of Vegetation Extraction for High-Resolution Satellite Imagery

碩士 === 國防大學理工學院 === 空間科學碩士班 === 98 === With the development of commercial satellite technology, in addition to the visible light image, further more, this technology can detect short wave radiation such as near-infrared light, so this study will address the high-resolution satellite images as much a...

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Main Authors: Chih-Heng Lien, 練智恒
Other Authors: Hsing-Wei Lee
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/52136598237378605215
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spelling ndltd-TW-098CCIT03670102015-11-09T04:09:44Z http://ndltd.ncl.edu.tw/handle/52136598237378605215 A Study of Vegetation Extraction for High-Resolution Satellite Imagery 高解析衛星影像植被萃取之研究 Chih-Heng Lien 練智恒 碩士 國防大學理工學院 空間科學碩士班 98 With the development of commercial satellite technology, in addition to the visible light image, further more, this technology can detect short wave radiation such as near-infrared light, so this study will address the high-resolution satellite images as much as multispectral images, coupled with panchromatic images of surface vege- tation characteristics by significant operations. The Normalized Difference Vegetation Index (NDVI) and the Tasseled Cap Transformation (TCT) method are generally used for low-resolution satellite images of vegetation explicit methods, and this study was to develop the suitable high resolu- tion satellite images of vegetation display technology based on the above-mentioned methods. The experimental results show this technology can significantly increased the accuracy and definition of extracted vegetation, which can effectively support the follow-up interpretation and mapping operations. Hsing-Wei Lee Yu Su 李興緯 蘇有 2010 學位論文 ; thesis 61 zh-TW
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description 碩士 === 國防大學理工學院 === 空間科學碩士班 === 98 === With the development of commercial satellite technology, in addition to the visible light image, further more, this technology can detect short wave radiation such as near-infrared light, so this study will address the high-resolution satellite images as much as multispectral images, coupled with panchromatic images of surface vege- tation characteristics by significant operations. The Normalized Difference Vegetation Index (NDVI) and the Tasseled Cap Transformation (TCT) method are generally used for low-resolution satellite images of vegetation explicit methods, and this study was to develop the suitable high resolu- tion satellite images of vegetation display technology based on the above-mentioned methods. The experimental results show this technology can significantly increased the accuracy and definition of extracted vegetation, which can effectively support the follow-up interpretation and mapping operations.
author2 Hsing-Wei Lee
author_facet Hsing-Wei Lee
Chih-Heng Lien
練智恒
author Chih-Heng Lien
練智恒
spellingShingle Chih-Heng Lien
練智恒
A Study of Vegetation Extraction for High-Resolution Satellite Imagery
author_sort Chih-Heng Lien
title A Study of Vegetation Extraction for High-Resolution Satellite Imagery
title_short A Study of Vegetation Extraction for High-Resolution Satellite Imagery
title_full A Study of Vegetation Extraction for High-Resolution Satellite Imagery
title_fullStr A Study of Vegetation Extraction for High-Resolution Satellite Imagery
title_full_unstemmed A Study of Vegetation Extraction for High-Resolution Satellite Imagery
title_sort study of vegetation extraction for high-resolution satellite imagery
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/52136598237378605215
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