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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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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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.
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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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