- 學位論文
合成孔徑雷達成像的特殊應用
Special Applications on Image Reconstruction of Synthetic Aperture Radar
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摘要
合成孔徑雷達是一種能夠得到地面的高解析度影像的進階雷達成像技術，其原理與方法在1950年代開始發展，隨後其快速的發展與改進使得合成孔徑雷達成為一項重要的遙測成像技術。 本篇論文開發出了一套新的合成孔徑雷達演算法，同時也使用了另一套傳統成像演算法適用於不同情況。第一套演算法為曲線重合演算法，適用於慢速或靜止(觀測中)，能夠很快且得到清晰的成像。第二套為相位匹配濾波演算法，適用於帶有一定速度的合成孔徑雷達觀測平台，同樣可以得到高解析度的影像。兩套方法都透過模擬證明其有效性。除此之外，本研究也架設了一套最大頻寬為400MHz的合成孔徑雷達平台，並執行一維與二維成像實驗。
並列摘要
SAR (Synthetic Aperture Radar) is an advanced radar imaging technique that has the ability to construct high-spatial-resolution images of the Earth's surface. The principle of SAR has been developed in 1950s, and rapid improvement and development make it become one of the powerful method of remote sensing. This thesis explores a new imaging algorithms for synthetic aperture radar (SAR) that is different from conventional techniques. Besides, an traditional imaging method is also applied. The first algorithm is called the curve-intersection method (CI) and is best suited for low-speed or static(during measurement) SAR systems, as it can quickly reconstruct images well. The second algorithm is the phase matched filter method (PMF) which accurately recovers ground images even in high-speed SAR applications. Both algorithms were found to be effective through simulation. In addition, a radar system with 400MHz bandwidth was used to operate 1-dimensional and 2-dimensional SAR imaging experiment.
參考文獻
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