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模擬華衛二號影像應用於地理資訊系統萃取資料之研究

A Study on GIS Data Extraction Using Simulated ROCSAT-2 Image

摘要


本研究使用IKONOS衛星之多光譜與全色態波段影像,經過影像融合後,產生1*1公尺空間解像力的IKONOS彩色影像;其次配合控制點座標、DEM與地形圖資料進行幾何糾正,以產生符合一萬分之一比例尺精度的正射影像;再以NOAA AVHRR 7的點擴散函數,經尺度調整後,將IKONOS正射影像模擬成華衛二號衛星2*2公尺空間解像力的彩色融合影像。應用此模擬影像,經由人工判釋萃取土地利用/覆蓋資訊,建立向量資料圖層及其屬性,再與SPOT影像萃取之GIS資料進行比較與分析,目的為評估未來中華二號衛星影像進行GIS資料萃取之能力。 結果顯示利用模擬的華衛二號資料及SPOT資料均可判釋出內政部國土利用分類層級第一級與第二級分類之十五項,分辨結果大致相同;其中稻作面積相當一致,但是對於分辨旱作的面積則差異約達30%,而第三級土地利用/覆蓋分類共七項僅能由模擬資料辨識,本研究稻作辨識率初步已達實用要求之90%;另外藉助於華衛二號衛星影像的高空間解析能力,亦可輔助劃定及更新耕地坵塊邊界。

並列摘要


The IKONOS data were adopted to simulate ROCSAT-2 image. Firstly, a 1*1 m^2 fused image was produced using the IKONOS XS and Panchromatic imagery. Next, the image was geometrically rectified using GCPs, existing DEM and contour maps. Then, the Point Spread Function of NOAA AVHRR 7 was adjusted to resample the IKONOS ortho-image and generate the simulated ROCSAT-2 data with the spatial resolution of 2*2 m^2, which was manually interpreted and the land use/cover GIS information was extracted. The results were compared with that obtained from SPOT image. It shows that fifteen categories under Classes Ⅰ and Class Ⅱ of Land Use and Cover Classification are identified from simulated ROCSAT-2 and SPOT-4 image data. The areas of rice paddy identified from the two image data are in good correlation, but the areas of arid farmland differ by about 30%. Additionally seven categories under Class Ⅲ can by identified from the ROCSAT-2 data only. Most significant is the accuracy of crop identification, which achieves the critical value of 90%. Consequently, ROCSAT-2 will be a good data source not only for GIS data extraction but also for updating the existing paddy and other GIS maps.

並列關鍵字

ROCSAT-Ⅱ Simulated image Data extraction

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