太空資料系統諮詢委員會 (CCSDS) 提出了無失真且高效能的太空影像壓縮標準 (CCSDS-ICS)，並廣泛的使用在衛星遙測影像的傳輸上，然而，原始的CCSDS-ICS缺乏容錯能力，甚至單一的位元錯誤就能造成壓縮檔嚴重的損壞。在這篇論文中，我們將要修復因CCSDS-ICS壓縮檔損壞所造成的大範圍影像破損。 Neighborhood Similar Pixel Interpolator (NSPI) 演算法原本是用於修復Landsat ETM+ SLC-off的破損影像，根據我們破損影像的特性，我們提出一個適應性搜尋視窗改良NSPI演算法取得相似像素的方式，並適用於CCSDS壓縮檔案位元錯誤造成大範圍的衛星遙測影像破損。測試結果顯示適應性搜尋視窗可以有效地減少影像修復所耗費的時間，並同時獲得較佳的修復影像品質。

The Consultative Committee for Space Data Systems (CCSDS) proposed an image compression standard (CCSDS-ICS) which can do the efficient and lossless compression and is most widely utilized for the satellite communications so far. However, the original CCSDS-ICS is weak in the ability of error resilience that severe error propagation would be caused by even an incorrect bit in the compressed file. In this thesis, the bit-error-caused damages in the images are going to be concealed. The Neighborhood Similar Pixel Interpolator (NSPI) was originally developed to fill the gaps owing to the failed Landsat 7 ETM+ Scan Line Corrector (SLC-off). To make it work well on the large contaminated areas in the satellite images, an adaptive searching window is proposed to improve the way of the NSPI method to acquire the similar pixels. Furthermore, an automated system is designed to do the image rectification, error detection and error concealment for the bit-error-caused damages in the images. The results show that the proposed algorithm can reduce the processing time to restore, and obtain better visual quality of the restored images.

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