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題名 | 兩種光譜特徵匹配法於超光譜影像之分類應用=Apply Two Spectral Matching Methods to Hyperspectral Image Classification |
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作者姓名(中文) | 吳至誠; | 書刊名 | 地圖:中華民國地圖學會會刊 |
卷期 | 13 2003.09[民92.09] |
頁次 | 頁119-128 |
分類號 | 440.98 |
關鍵詞 | 光譜角製圖; 超光譜影像; 交互相關法; Hyperspectral image; Cross-correlation method; Spectral angle mapper; |
語文 | 中文(Chinese) |
中文摘要 | 超光譜影像感測器提供影像中每一個像元許多且連續的光譜波段資料,並使其有可能於每一個像元內提供不同地物與種類的訊息。本文中以監督式分類的交互相關法與光譜角製圖法對AVIRIS超光譜影像中四種不同地物光譜特徵進行匹配;此兩種方法所獲得的成果相似,其中水體與草地的匹配分類成果很好;道路與建物部份亦有不錯的成果,唯此可再進一步的處理(如先去除混合等)以提高其分類精度。 |
英文摘要 | Hyperspectral sensors can provide each pixel with many continuous spectrum data, and make it possible for each pixel to give us information in different features and classes. In this article, two supervised classification methods, Cross-Correlation and Spectral Angle Mapper, are used for matching with four different features in AVIRIS image. The results from those two methods are similar. Among other things, the results of matching water and grass were good; the results of matching roads and buildings were fair, but further process (i.e. unmixing) may increase classification accuracy. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。