| 研究生: |
邱偉哲 Wei-che Chiu |
|---|---|
| 論文名稱: |
電腦模擬掃描式人造二維合成孔徑雷達影像資料之產生與處理 Computer Simulation and Processing of Stripmap SAR Data with Two-Dimensional Artificial Target |
| 指導教授: |
林嘉慶
Jia-chin Lin |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
資訊電機學院 - 通訊工程學系 Department of Communication Engineering |
| 畢業學年度: | 100 |
| 語文別: | 中文 |
| 論文頁數: | 77 |
| 中文關鍵詞: | 人造二維目標 、合成孔徑雷達 |
| 外文關鍵詞: | two-dimensional artificial target, Synthetic Aperture Radar(SAR) |
| 相關次數: | 點閱:13 下載:0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
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.
[1] J. Van Zyl and Y. Kim, Synthetic Aperture Radars Polarimetry. Wiley, 2001.
[2] B. C. Wang, Digital Signal Processing Techniques and Application in Radar Image Processing. Wiley, 2008.
[3] I. G. Cumming and F. H. Wong, Digital Processing of Synthetic Aperture Radar Data Algorithm and Implementation. Artec House, 2005.
[4] R. Bamler, “A comparison of range-doppler and wavenumber domain sar focusing algorithms,” IEEE Trans. Geosci. Remote Sens., vol. 30, pp. 706–713, July 1992.
[5] R. Cafforio, C. Prati, F. Rocca, et al., “Sar data focusing using seismic migration techniques,” IEEE Trans. Aerosp. Electron. Syst., vol. 27, pp. 194–207, March 1991.
[6] D. Halliday, R. Resnick, and J. Walker, Fundamentals of Physics. Wiley, 2005.
[7] I. G. Cumming, F. H. Wong, R. Bamler, et al., “Precision sar processing using chirp scaling,” IEEE Trans. Geosci. Remote Sens., vol. 32, pp. 786–799, July 1994.
[8] H. Runge and R. Bamler, “A novel high precision sar focusing algorithm based on chirp scaling,” IEEE Trans. Geosci. Remote Sens. Symp., pp. 372–375, May 1992.
[9] A. Moreira, J. Mittermayer, and R. Scheiber, “Extended chirp scaling for air- and spacebone sar data processing in stripmap and scansar image modes,” IEEE Trans. Geosci. Remote Sens., vol. 34, pp. 1123–1136, September 1996.
[10] M. J. Jin, F. Cheng, and M. Chen, “Chirp scaling algorithms for sar processing,” IEEE Trans. Geosci. Remote Sens. Symp., vol. 3, pp. 1169–1172, August 1993.