數位無特徵平面地圖合併之研究

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Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/44081

Title:	數位無特徵平面地圖合併之研究 Research on the Conflation of Digital Maps with No Feature
Authors:	王靖涵 (Ching-Han, Wang)
Contributors:	資訊管理學系
Keywords:	地圖合併數位地圖無特徵字串比對 map conflation digital map no feature string searching
Date:	2018
Issue Date:	2019-05-10 13:27:44 (UTC+8)
Abstract:	地圖的數位化導致收集地圖越來越方便與快速，甚至地圖使用上也越來越多元，每次收集的地圖常常都是一個大範圍中的一小部分，因此對地圖使用者來說合併就顯得重要。現今許多地圖都是由碰撞的方式產生，不具有特徵點或地標，無法用有特徵點或地標的方式去合併，因此本研究將探討利用碰撞方式無特徵只有邊的兩張地圖來做合併，並提出每個點本身都有座標點集合，利用調整方向使兩張地圖方向性正確並且產生新的座標點集合，接著產生循環點字串，並利用最長公共子串去比對兩張地圖的字串值，得到最長的相同字串片段，並且利用原始點編號去推算出原始座標X、Y值來做兩張地圖的合併。關鍵字：地圖合併(map conflation)，數位地圖(digital map)，無特徵(no feature)，字串比對(string searching) With the digitization of maps, it becomes more convenient and faster to collect them, and widely being used. Actually the collection of maps are usually a small part of a large area, therefore, map conflation will be apparently important for map users. Nowadays, many maps’ produce methods are without features and landmarks, so we can’t conflation them correctly if we use the previously features and landmarks. Thus, the research is going to discuss using no features only side to conflate two maps, and propose that all dots have it 's own coordinate points. By adjusting the orientation, in order to make two maps directly correspondence and produce new coordinate point set and cycling strings. Also use the Longest Common Substring to compare the string values of the two maps to get the longest same string fragments. Then use the original point serial numbers calculate the original coordinate X and Y values to conflate the two maps. Key Words: map conflation, digital map, no feature, string searching
Appears in Collections:	[Department of Information Management & Graduate Institute of Information Management] Thesis

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