基於區域權重之衛星影像超解析技術

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姓名

吳宗霖(Tzong-Lin Wu) 查詢紙本館藏

畢業系所

通訊工程學系在職專班

論文名稱

基於區域權重之衛星影像超解析技術
(Region weighted satellite super-resolution technology)

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摘要(中)

高解析影像一直以來都是人們所追求的，由於從高解析影像中可以取得更多的資訊，例如為高解析衛星影像具備較佳的分類區域與分析。一般而言，解析度通常以增加感測器的密度來達成，然而設備與設計成本相當高。尤其衛星高密度感測器必須冒更大的風險。於是我們選擇以多張影像合併方式來發展有效的超解析演算法來達到解析度提升的目標。
先假設所取得的低解析衛星影像間的移動皆在相同平面上，將低解析影像轉換至頻域，進行轉動與移動估測，再將影像對應到高解析格點，再用雙立方內插重建高解析影像。因為衛星影像龐大會造成計算量大幅增加，於是我們用已知衛星參數與區域影像內容進行過濾來降低移動估測與內插像元計算量。結果顯示確實能在維持重建品質前提下降低運算量。

摘要(英)

People always desire high resolution image. The reason is higher resolution image can be obtained more information. For example, high resolution satellite images include better classification to identify and analyze. Generally, resolution enhancement is usually completed by increasing density of sensors. However, the additional costs of equipment and design are quite high. Especially, high density satellite sensors must take a big risk. So we choose multiple images composing to develop efficient super-resolution method for achieving resolution enhancement.
We use frequency model to realize super-resolution. Assumed motion of the low resolution satellite images are all on the same plane. Then, estimate rotation and shift in frequency domain. After estimation, we compensate motion and stick on the high resolution grid. Bicubic interpolation method is used to reconstruct high resolution images. Because of the computation cost, we develop a satellite image information parameters filtering to decrease the estimation and interpolation computation. The results show that our method can decrease computation and keep the reconstruction quality.

關鍵字(中)

★ 區域權重
★ 超解析
★ 衛星影像

關鍵字(英)

★ super-resolution
★ region based weighting
★ satellite image

論文目次

中文摘要 ………………………………………………………… i
英文摘要 ………………………………………………………… ii
誌謝 ………………………………………………………… iv
目錄 ………………………………………………………… v
圖目錄 ………………………………………………………… viii
表目錄 ………………………………………………………… viii
第一章緒論…………………………………………………… 1
1-1 前言…………………………………………………… 1
1-2 研究動機……………………………………………… 2
1-3 論文架構……………………………………………… 3
第二章超解析簡介與發展現況……………………………… 4
2-1 超解析功能與需求…………………………………… 4
2-1-1 解析度定義…………………………………………… 4
2-1-2 影像縮放……………………………………………… 7
2-1-3 超解析還原…………………………………………… 8
2-2 超解析發展現況……………………………………… 11
2-2-1 靜態影像超解析……………………………………… 11
2-2-2 動態視訊超解析……………………………………… 16
第三章影像對位簡介與發展現況…………………………… 18
3-1 影像對位功能與需求簡介…………………………… 18
3-1-1 影像來源分類………………………………………… 19
3-1-2 對位步驟……………………………………………… 20
3-1-3 特徵偵測……………………………………………… 23
3-1-2 特徵匹配……………………………………………… 27
3-1-3 轉換模型估測………………………………………… 36
3-1-4 重新取樣與轉換……………………………………… 38
3-2 頻域對位技術之發展現況…………………………… 39
第四章頻域對位超解析系統………………………………… 42
4-1 頻域影像對位………………………………………… 44
4-1-1 平面移動估測………………………………………… 45
4-1-1-1 轉動估測……………………………………………… 46
4-1-1-2 平移估測……………………………………………… 48
4-1-1-3 混疊…………………………………………………… 48
4-1-2 影像重建……………………………………………… 50
4-1-3 Vandwalle系統總體概觀……………………………… 52
4-2 頻域超解析衛星影像系統…………………………… 53
4-2-1 衛星影像參數過濾…………………………………… 53
4-2-1-1 覆雲量參數…………………………………………… 54
4-2-1-2 區域參數……………………………………………… 56
4-2-1-3 空間頻率參數………………………………………… 57
第五章實驗結果與討論……………………………………… 60
5-1 對位準確性分析……………………………………… 61
5-2 影像重建品質分析…………………………………… 65
5-3 實際衛星影像測試…………………………………… 66
第六章結論…………………………………………………… 70
參考文獻……………………………………………… 71

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指導教授

張寶基(Pao-Chi Chang)

審核日期

2007-7-24

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