2005-01-012024-05-14https://scholars.lib.ntu.edu.tw/handle/123456789/660170摘要：以評估各試作地區最適宜之自動判釋模式、估測誤判區為主，並建立一簡易整合判釋原型系統，判釋對象為台中縣、雲林縣、嘉義縣及台南縣等四縣各300平方公里之水稻田區域，以福衛二號衛星及航照兩種影像進行雙線判釋。 a. 完成一套結合福衛二號影像及地理資訊技術之稻作辨識人工輔助系統，以適用於不同來源之航遙測影像之稻作辨識工作。 b. 針對選定之實驗區，評估福衛二號影像應用於稻作自動分類辨識之可行性及適用性，及應用於該區之適用分類方式。 <br> Abstract: The project in this year is to evaluate the automatic differentiation module to fit varioustest areas and to find out the error areas, also to establish a simple archetype system ofintegrated differentiation. The goal area is focused at each 300 kilometer square of ricefield in Taichung County, Yunlin County, Jiayi County and Tainan County using theFomosat-2 satellite image and aerial photograph to proceed the rice field differentiation. A. Establishing a rice field differentiation system which is combined with the Fomosat-2 satellite image and GIS skill to fit the different remote sensing image of rice field differentiation. B. In accordance with chosen test area, evaluating the feasibility and applicability of using the Fomosat-2 satellite image on rice field automatic differentiation and classification.水稻田遙測高頻率高解像力衛星影像Rice Fieldemote sensingHigh FrequencyHigh ResolutionSatellite Images