- 期刊
高解析衛星影像植被萃取之研究
A Study of Vegetation Extraction for High-Resolution Satellite Imagery
摘要
隨著商用衛星發展技術的提升，除了人眼所能觀測的可見光影像之外，進一步更能偵測如近紅外光等短波段輻射資訊，因此本研究將針對高解析衛星影像之多光譜(Multispectral)影像特性，配合其全色態(Panchromatic)影像進行地表植被特徵萃取作業。 一般用於低解析度衛星影像植被萃取的方法為常態化差異植生指標(NDVI, Normalized Difference Vegetation Index)與纓帽轉換法(TCT, Tasseled-Cap Transformation)，而本研究擬開發基於上述兩種方法且適合高解析度衛星影像之植被萃取技術。 經實驗成果顯示，本研究所提出之高解析度衛星影像植被萃取技術對於植被萃取的正確性及植被增顯後的清晰度均可大幅提升，可有效輔助後續判讀與製圖作業。
並列摘要
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 vegetation 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-resolution 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.
延伸閱讀
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- 馮志翔（2009）。可用於植被萃取及色彩校正的影像融合法之研究〔碩士論文，元智大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0009-1101200918271200
- 徐百輝、曾義星（2000）。高光譜影像特徵萃取方法之探討。航測及遙測學刊，5(2)，1-14。https://doi.org/10.6574/JPRS.2000.5(2).1
- 陳信安（2007）。衛星影像幾何校正控制點自動萃取與匹配之研究〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2007.02303
- 林乘逸、陳繼藩（2003）。Automated Extraction of Control Points for High Spatial Resolution Satellite Images。航測及遙測學刊，8(2)，1-11。https://doi.org/10.6574/JPRS.2003.8(2).1