掃描式人造點狀合成孔徑雷達影像資料之產生，已廣泛使用於研究掃描式合成孔徑雷達影像處理演算法的領域。其可利用預先設定好已知人造點狀目標物所在位置之人造合成孔徑雷達影像資料，利用合成孔徑雷達影像處理演算法加以處理。由處理結果得知各種不同演算法的效能。由於實際目標大多數為二維目標，所以本論文將提出產生掃描式人造二維合成孔徑雷達影像資料的方法。並利用三種不同合成孔徑雷達影像處理演算驗證所產生之掃描式人造二維合成孔徑雷達影像資料為正確。Artificial point target based simulation and processing of stripmap synthetic aperture radar image has been used extensively in the stripmap synthetic aperture radar imaging field. The synthesized stripmap synthetic aperture radar image data serves as learning tool to generate stripmap synthetic aperture radar echo signal based on randomly distributed with various shapes of ground target. It also provides checking capability to measure and compare the performance of various synthetic aperture radar image processing algorithms. In this thesis, we extend the point target idea to synthesize the radar imaging signal based on artificial two-dimensional targets. Techniques and examples will be given to generate the synthesized signal. Three different but well-known radar image processing techniques, namely the Range-Doppler ,Stolt Interpolation and the Chirp Scaling, will be used to reconstruct the artificial target images.
