本文關(guān)鍵詞： 影像質(zhì)量評(píng)價(jià) 重采樣 單影像質(zhì)量 多影像一致性 鑲嵌　出處：《東華理工大學(xué)》2013年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：由于設(shè)備、天氣和地形條件差異導(dǎo)致拍攝的航空遙感影像本身存在霧靄、偏色、陰影以及多影像間色調(diào)不一等問(wèn)題，這些影像的質(zhì)量問(wèn)題是影響正射糾正成圖的整體視覺(jué)效果和判讀效果的直接因素，并且足以擾亂許多圖像處理任務(wù)的執(zhí)行，已經(jīng)嚴(yán)重超出了傳統(tǒng)意義上圖像噪聲對(duì)圖像品質(zhì)造成的影響。只有通過(guò)勻光勻色過(guò)程，在逐個(gè)去除這些影響因素的前提下，才能順利執(zhí)行后續(xù)的數(shù)字圖像的處理過(guò)程，才能保證最后“一張圖”成圖的效果。雖然現(xiàn)在處理影像的質(zhì)量問(wèn)題是研究的熱點(diǎn)，并且存在一些處理單個(gè)問(wèn)題的算法，如去陰影算法、去霧算法等，但還沒(méi)有一個(gè)完善的方案能比較全面的解決航空遙感影像在勻光勻色過(guò)程中的各種影響因素。 本文研究并提出了一種航空遙感影像的勻光勻色方案，該方案從DOM處理流程出發(fā)，，在逐個(gè)解決問(wèn)題的前提下，較為全面地處理影像的主要質(zhì)量問(wèn)題�；具^(guò)程為：首先根據(jù)原始影像的地面分辨率按照國(guó)家成圖比例尺對(duì)應(yīng)地面分辨率通過(guò)適當(dāng)?shù)牟蓸臃绞竭M(jìn)行重采樣；接著在重采樣的基礎(chǔ)上進(jìn)行單影像質(zhì)量問(wèn)題的處理，其中包括霧靄處理、陰影處理和偏色處理；然后在此基礎(chǔ)上進(jìn)行多影像色調(diào)和亮度的一致性調(diào)整；最后在鑲嵌接邊后的成圖上通過(guò)調(diào)整鑲嵌線走勢(shì)和羽化值來(lái)消除接邊線痕，進(jìn)而完成“一張圖”影像。此外，文中引用了一套（15張）一個(gè)測(cè)區(qū)范圍內(nèi)的航空遙感影像實(shí)際數(shù)據(jù)作為實(shí)驗(yàn)示例，將該勻光勻色方案與傳統(tǒng)的、現(xiàn)有的勻光勻色軟件的處理結(jié)果進(jìn)行對(duì)比，并通過(guò)實(shí)驗(yàn)成果影像及其影像質(zhì)量評(píng)價(jià)信息都證明，本文提出的航空遙感影像新勻光勻色方案大大優(yōu)于現(xiàn)有的和傳統(tǒng)的方案，同時(shí)彌補(bǔ)了單個(gè)勻色算法的不足，亦通過(guò)結(jié)合，能夠形成面向海量影像成果勻光勻色制作的解決方案，能夠滿足了國(guó)家正射影像圖成果的要求。
[Abstract]:Because of the difference of equipment, weather and terrain conditions, the aerial remote sensing images themselves have the problems of haze, color deviation, shadow and different colors among the multiple images. The quality of these images is a direct factor affecting the overall visual and interpretation effects of orthophoto correction, and can disrupt the execution of many image processing tasks. It has gone beyond the traditional image noise impact on image quality. Only through the uniform color process, in the premise of removing these factors one by one. In order to smoothly carry out the subsequent digital image processing process, can ensure the final "one map" mapping effect, although the quality of the image processing is now the focus of research. And there are some algorithms to deal with a single problem, such as shadow removal algorithm, de-fog algorithm and so on. However, there is no perfect scheme to solve the influence factors of aerial remote sensing image in the process of uniform light color. In this paper, a uniform color scheme for aerial remote sensing images is proposed. The scheme is based on the DOM process and solves the problems one by one. The basic process is as follows: firstly, according to the ground resolution of the original image, the ground resolution of the original image is resampled by appropriate sampling method according to the national mapping scale corresponding to the ground resolution; Secondly, on the basis of resampling, the single image quality problem is processed, including haze processing, shadow processing and color deviation processing. Then, the consistency of color and brightness of multi-image is adjusted on this basis. Finally, by adjusting the trend of mosaic line and the value of Eclosion, we can eliminate the line mark and then complete the "one picture" image. In this paper, a set of 15 pieces of aerial remote sensing image data in a measuring area is cited as an experimental example, and the results of the scheme are compared with that of the traditional uniform color software. And through the experimental results of images and image quality evaluation information, it is proved that the proposed new uniform color scheme of aerial remote sensing images is much better than the existing and traditional schemes, and makes up for the shortcomings of a single uniform color algorithm. Through combination, the solution of uniform color production for mass image results can be formed, which can meet the requirements of national orthophoto image results.
【學(xué)位授予單位】：東華理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類(lèi)號(hào)】：P237

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