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福衛二號影像處理系統研發之回顧與展望

FORMOSAT-2 Image Processing System Development and Outlook

摘要


福衛二號於2004年發射,是當今世上唯一能夠每日對全球任何地方取像的遙測衛星。影像處理系統自力發展,此對任務操作快速反應極有幫助。幾次世界大型災害,例如南亞海嘯、四川地震、八八水災、日本海嘯,福衛二號每次都以第一時間取像,並提供衛星影像支援救災。本文介紹福衛二號計畫影像處理系統(Image Processing System, IPS)自力研發之背景、目標、系統、操作,及自衛星發射後九年多之遙測任務成果與重大事件取像。影像處理系統包括五個次系統:取像排程次系統(Planning and Scheduling Subsystem, PSS)、資料擷取次系統(Data Ingestion Subsystem, DIS)、資料處理次系統(Data Processing Subsystem, DPS)、資料管理次系統(Data Management Subsystem, DMS)、影像品質次系統(Image Quality Subsystem, IQS)。福衛五號計畫在建立衛星本體與遙測酬載之自主技術能力,接續福衛二號任務。提供更高解析度之彩色影像,以及沿經線或海岸線之取像能力。為因應未來需求與挑戰,IPS研發須利用網路技術,提供下一代衛星影像產品,並與GIS緊密結合。

並列摘要


Since launched in May 2004, FORMOSAT-2 is currently the unique high-resolution satellite having capabilities to daily image anywhere worldwide. The image processing system (IPS) was developed indigenously, so that it was helpful for the quick response to emergency events. FORMOSAT-2 has taken the first images and continuously monitoring after large disasters over the world to support the aftermath relief and precaution of secondary disasters, especially for the southern Asia tsunami, the Wilkins Ice Shelf disintegration, the Sichuan earthquake, the typhoon Morakot, and the Japan earthquake.In this paper we introduce the background, the goal, the system, and the operations of the Image Processing System (IPS), and the imaging activities and applications for the large events for nine years. IPS includes five subsystems: Planning and Scheduling Subsystem ( PSS), Data Ingestion Subsystem (DIS), Data Processing Subsystem (DPS), Data Management Subsystem (DMS), and Image Quality Subsystem (IQS). FORMOSAT-5 project is to build the indigenous capabilities of the spacecraft bus and the remote sensing instrument, and to continue the FORMOSAT-2 mission. It will provide the higher resolution images with the capabilities of imaging along the meridian or along the coastline. To meet the requirements and take the challenge, IPS will further utilize the network technology to provide the next-generation image products integrated with GIS.

被引用紀錄


沈玉婷(2015)。林業巨量資料應用策略之探討〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2015.01525

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