遙測影像中線型特徵物（道路）擷取之研究

本文提出的自動道路擷取計劃乃先將遙測影像以特定的小波函數作小波轉換(Wavelet Transform)，增顯原始影像中的線型特徵物，並偵測得到各個像元的灰度梯度(Gray Gradient)及梯度方向(Gradient Direction)。隨後依照道路在影像之種種特性，應用上述之資料，自動的選擇路種(Seeds)。再應用道路在幾何(Geometric)及光度(Photometric)上的特性，組成泛道路模型(Generic Road Model)，並使用一些約制條件組成價值函數(Merit Function)，將泛道路模型具體化，作為擇取路段之條件。最後以自動選出的路種，依上述之條件開始搜尋可能的道路，再利用動態規劃(Dynamic Programming)求解出最佳的路段，擷取出影像中之道路。

關鍵字

道路擷取；小波轉換；路種；動態規劃

並列摘要

The topic of this research is about the scheme of extracting roads automatically which at first transform the remote sensing images with special wavelet function, and linear features of original images are detected to attain the gradient magnitude and direction of each pixel. Secondly, according to the some roads properties on the images and getting an application from above data, we make the rules to detect seeds of road automatically. The third, we have a generic road model which consists of some geometric and photometric properties of roads, and a merit function is formulated by some constraints which embodies a notion of the generic road model. A merit function is the conditions of selecting road segments. Last, the seeds of road are used in beginning to search for possible roads which are according to above conditions. Then, we take advantage of dynamic programming to extract the roads from image.

並列關鍵字

Road extraction ； Wavelet transform ； Seeds ； Dynamic programming

國際替代計量

遙測影像中線型特徵物（道路）擷取之研究

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