應用航拍高光譜影像與多光譜影像於農作判釋－以新竹為例

APPLYING AERIAL HYPERSPECTRAL IMAGING AND MULTI-SPECTRAL IMAGING TO AGRICULTURAL INTERPRETATION: A CASE STUDY OF HSIN-CHU AREA

10.6652/JoCICHE.201806_30(2).0004

林若琪(Jo-Chi Lin)；林保宏(Pao-Hung Lin)；方鋐亦(Hong Yi Fang)；林威延(Wei-Yen Lin)

多光譜影像 ； 高光譜影像 ； 農作判釋 ； multi-spectral imaging ； hyperspectral imaging ； agricultural interpretation

中國土木水利工程學刊

30卷2期（2018 / 06 / 01）

121 - 127

繁體中文

本研究以航拍高光譜影像與航拍多光譜影像作為研究材料，針對新竹研究區域判釋農作物類別。航拍多光譜影像分為3波段與4波段2種組合，所有影像皆產製紋理與植生指標指數套疊原始影像，航拍高光譜則以MNF方法維度轉換後才進行紋理與植生指標套疊，結果顯示，航拍高光譜相比於航拍多光譜在相同波譜範圍間能產製較多光譜特徵影像，利於後續分類，紋理指標在各影像中，仍有其作用，未來應可針對不同尺度開發其相關影像使用潛能。

In this study, aerial hyperspectral images and aerial multi-spectral images are adopted as research materials and agricultural classification interpretation in the Hsin-chu research area is conducted. Aerial multi-spectral images are divided into 3-wave band and 4-wave band, in which all images generate texture nesting original images with vegetation indices. In aerial hyperspectral images, dimension conversion is conducted with the MNF method and then texture and vegetation index nesting is proceeding. The results show that compared to aerial multi-spectral images, aerial hyperspectral images can produce more images of spectral features in the same spectral range, which benefits follow-up classification. Texture indicator is still effective in each image. In the future, it is suggested to develop related imaging use potential for different scales.

1. Collins, W.(1978).Remote sensing of crop type and maturity.Photogrammetric Engineeringand Remote Sensing,44,43-55.
2. Elvidge, C. D.,Chen, Z.(1995).Comparison of broad-band andnarrow-band red and near-infrared vegetation indices.Remote Sensing of Environment,54,38-48.
3. Foody, G. M.(2002).Status of Land Cover Classification Accuracy Assessment.Remote Sensing of Environment,80(1),185-201.
4. Fuchs, M.(1990).Canopy thermal infrared observations.Remote Sensing Reviews,5(1),323-333.
5. Green, A. A.,Berman, M.,Switzer, P.,Craig, M. D.(1988).A Transformation for OrderingMultispectral Data in Terms of Images Quality with Implications for Noise Removal.IEEETransactions on Geoscience and Remote Sensing,26(1),65-74.
6. Horler, D.N.H.,Dockray, M.,Barber, J.(1983).The Red Edge of Plant Leaf Reflectance.International Journal of Remote Sensing,4,273-288.
7. Merton, R. N.(1998).Monitoring community hysteresis using spectral shift analysis and the red-edge vegetation stress index.Proceedings of the Seventh Annual JPL Airborne Earth Science Workshop,Pasadena, California, USA:
8. Penuelas, J.,Pinol, J.,Ogaya, R.,Filella, I.(1997).Estimation of plant water concentration by the reflectance Water Index WI (R900/R970).International Journal of Remote Sensing,18(13),2869-2875.
9. 林若琪,王福才,林志交(2013)。地面光譜儀之發展與利用。第三十二屆測量及空間資訊研討會暨第二屆兩岸重力及大地水準面研討會，新竹:
10. 林若琪,林岑彧,林志交,劉啟清,張坤樹(2013)。空載高光譜影像於國土利用調查之地物分類研究。第十七屆國土規劃論壇，台南:
11. 施介嵐(2004)。新竹，交通大學土木工程學系。
12. 張立雨,陳繼藩(2009)。應用經驗模分解技術進行高光譜影像之雜訊過濾。航測及遙測學刊，12(2)，115-125。
13. 郭秀玲(2003)。台中，逢甲大學土地管理學系。
14. 陳正湘,林昭遠,莊智瑋(2009)。利用紋理因子改善影像分類準確度之研究。水土保持學報，41(2)，153-168。
15. 陳彥宏(2003)。台中，逢甲大學土地管理學系。
16. 陳榮坤,楊純明(2002)。以近地面高解析植被光譜及模擬SPOT 衛星寬頻光譜估測水稻生長性狀的變化。中華農業研究，51(4)，1-18。
17. 鍾建文(2006)。臺北，臺灣大學生物環境系統工程學研究所。
18. 魏曉萍(2002)。新竹，中華大學土木工程學系。