查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

114-2 357386 遙測影像處理 1 3.0 3 ★ 蔣政諺太空所
創新AI學位學程 21 0 太空所和創新AI合開,億光405教室

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-2	357386	遙測影像處理	1	3.0	3	★	蔣政諺	太空所創新AI學位學程	21	0	太空所和創新AI合開,億光405教室

教學大綱與進度：

教師姓名蔣政諺　教師諮商時間(Office Hours)

Email dcychiang@ntut.edu.tw

最後更新時間 2025-12-19 23:16:53

課程大綱當高解析度的數位微波影像以成趨勢後，下一世代各國之間在遙測影像的競爭上已經不再局限於光學影像中。然而無論是光學或微波影像，都是以傳統的影像處理為基礎，然後再根據彼此間的數位訊號間的差異，而有不一樣的處理方法。在國際上，越來越多實務上的應用不再只局限於傳統的數位光學影像。利用更多輔助的數位影像資料，例如數位微波影像，能獲取更高效能、更高精度的結果。本課程會以數位微波影像發展趨勢與應用介紹起，並說明影像的特性、訊號模型與處理方法，並搭配實務上的操作，達到理論與實務兼具的目的。 When high resolution digital microwave image becomes the trend, the competition of remote sensing image among countries in the next generation is no longer limited to optical image. However, both optical and microwave images are based on the traditional image processing, and then have different processing methods according to the difference between digital signals. Internationally, more and more practical applications are no longer limited to traditional digital optical imaging. The use of more complementary digital image data, such as digital microwave images, can lead to more efficient and accurate results. This course will introduce the trends and applications of digital microwave imaging, explain the characteristics of the image, signal model and processing methods, and provide practical operation to achieve both theoretical and practical purposes.

課程進度 Week 1: Introduction: SAR development trend Week 2, 3: SAR algorithm concepts Week 4, 5, 6: Range Doppler algorithm Week 7, 8: Doppler centroid estimation Week 9: Doppler Rate Estimation Week 10, 11: RDA with high squint angle Week 12: Matching filter generation Week 13, 14, 15: Chirp scaling algorithm Week 16, 17, 18: Spectral analysis algorithm

評量方式與標準 Assignment and Report 60% Final report 40%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
[1] I. G. Cumming and F. H. Wong, Digital processing of synthetic aperture radar data Algorithms and Im-plementation. Boston & London: Artech house, 2005. [2] K. S. Chen, Principles of synthetic aperture radar imaging: a system simulation approach. in Signal and image processing of Earth observations series. Boca Raton London New York: CRC Press, 2016.

課程諮詢管道 1. Email: dcychiang@ntut.edu.tw

延伸教學與資源

課程對應SDGs指標 SDG11：永續城市與社區（Sustainable Cities and Communities）
SDG13：氣候行動（Climate Action）

課程是否導入AI ● 無（None）

備註

教師姓名	蔣政諺　教師諮商時間(Office Hours)
Email	dcychiang@ntut.edu.tw
最後更新時間	2025-12-19 23:16:53
課程大綱	當高解析度的數位微波影像以成趨勢後，下一世代各國之間在遙測影像的競爭上已經不再局限於光學影像中。然而無論是光學或微波影像，都是以傳統的影像處理為基礎，然後再根據彼此間的數位訊號間的差異，而有不一樣的處理方法。在國際上，越來越多實務上的應用不再只局限於傳統的數位光學影像。利用更多輔助的數位影像資料，例如數位微波影像，能獲取更高效能、更高精度的結果。本課程會以數位微波影像發展趨勢與應用介紹起，並說明影像的特性、訊號模型與處理方法，並搭配實務上的操作，達到理論與實務兼具的目的。 When high resolution digital microwave image becomes the trend, the competition of remote sensing image among countries in the next generation is no longer limited to optical image. However, both optical and microwave images are based on the traditional image processing, and then have different processing methods according to the difference between digital signals. Internationally, more and more practical applications are no longer limited to traditional digital optical imaging. The use of more complementary digital image data, such as digital microwave images, can lead to more efficient and accurate results. This course will introduce the trends and applications of digital microwave imaging, explain the characteristics of the image, signal model and processing methods, and provide practical operation to achieve both theoretical and practical purposes.
課程進度	Week 1: Introduction: SAR development trend Week 2, 3: SAR algorithm concepts Week 4, 5, 6: Range Doppler algorithm Week 7, 8: Doppler centroid estimation Week 9: Doppler Rate Estimation Week 10, 11: RDA with high squint angle Week 12: Matching filter generation Week 13, 14, 15: Chirp scaling algorithm Week 16, 17, 18: Spectral analysis algorithm
評量方式與標準	Assignment and Report 60% Final report 40%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 [1] I. G. Cumming and F. H. Wong, Digital processing of synthetic aperture radar data Algorithms and Im-plementation. Boston & London: Artech house, 2005. [2] K. S. Chen, Principles of synthetic aperture radar imaging: a system simulation approach. in Signal and image processing of Earth observations series. Boca Raton London New York: CRC Press, 2016.
課程諮詢管道	1. Email: dcychiang@ntut.edu.tw
延伸教學與資源
課程對應SDGs指標	SDG11：永續城市與社區（Sustainable Cities and Communities） SDG13：氣候行動（Climate Action）
課程是否導入AI	● 無（None）
備註