本文選題：機(jī)載掃描圖像 + 位置姿態(tài)數(shù)據(jù)�。� 參考：《山東大學(xué)》2017年碩士論文

【摘要】：隨著高光譜遙感技術(shù)的成熟與發(fā)展,該成像技術(shù)已經(jīng)廣泛應(yīng)用于氣象和環(huán)境監(jiān)測、農(nóng)作物長勢和土壤侵蝕分析、礦物資源探測、軍事偵察與服務(wù)等各個(gè)方面。機(jī)載遙感又稱航空遙感,是指利用飛機(jī)、飛艇等航空工具作為運(yùn)載手段的遙感技術(shù)。機(jī)載遙感圖像的成像質(zhì)量是阻礙該技術(shù)發(fā)展的重要問題,導(dǎo)致這一問題的因素主要有以下四個(gè)方面:(1)載體飛行速度和高度;(2)成像儀的拍攝角度;(3)載體姿態(tài)的變化;(4)環(huán)境因素,包括光線變化和環(huán)境干擾等。這些干擾因素可能會(huì)導(dǎo)致圖像具有幾何變化大、重疊區(qū)域小、相似特征多等特點(diǎn)。本系統(tǒng)采用低精度穩(wěn)像平臺(tái)結(jié)合高精度位姿測量的方法以提高圖像質(zhì)量。其中,低精度穩(wěn)像平臺(tái)保證采集的圖像數(shù)據(jù)變形不會(huì)太大,高精度位姿測量則用于事后糾正圖像數(shù)據(jù)的變形。通常,機(jī)載掃描圖像的姿態(tài)校正大都以位置姿態(tài)系統(tǒng)與成像系統(tǒng)之間為剛性連接為基礎(chǔ)。而本系統(tǒng)成像功能安裝在小型穩(wěn)像平臺(tái)上,位置姿態(tài)系統(tǒng)安裝在運(yùn)載工具上,兩者屬于非剛性連接。該穩(wěn)像平臺(tái)為主動(dòng)姿態(tài)調(diào)節(jié)系統(tǒng),穩(wěn)定范圍有限,超限后會(huì)主動(dòng)復(fù)位,相對(duì)運(yùn)動(dòng)情況更加復(fù)雜。本系統(tǒng)上述特點(diǎn)使得在圖像姿態(tài)校正過程中存在更多的干擾特征,對(duì)圖像姿態(tài)校正帶來極大的困難。從以上方面可以看出,圖像姿態(tài)校正技術(shù)的應(yīng)用前景十分廣闊,并具有新的挑戰(zhàn)性和豐富的研究價(jià)值。本文針對(duì)帶穩(wěn)像平臺(tái)的機(jī)載高光譜成像儀,研究了該成像儀的幾何定標(biāo)、位姿數(shù)據(jù)預(yù)處理和幾何校正等問題,并實(shí)現(xiàn)了圖像的姿態(tài)校正軟件系統(tǒng)。主要工作如下:(1)簡要介紹圖像采集系統(tǒng)的重要部分,包括成像系統(tǒng)、穩(wěn)像平臺(tái)系統(tǒng)、位姿數(shù)據(jù)測量系統(tǒng)。(2)針對(duì)多視場高光譜成像儀的結(jié)構(gòu)特點(diǎn)和高精度的幾何定標(biāo)需求,利用全色光源、反光鏡、反光鏡旋轉(zhuǎn)平臺(tái)、平行光管、計(jì)算機(jī)等其他實(shí)驗(yàn)儀器創(chuàng)建了一種新的幾何定標(biāo)方法。幾何定標(biāo)的結(jié)果表明,成像儀的像元誤差達(dá)到亞像素精度,符合應(yīng)用要求。(3)姿態(tài)校正是利用位姿數(shù)據(jù)對(duì)圖像數(shù)據(jù)進(jìn)行姿態(tài)的幾何校正,正確的姿態(tài)校正需要位姿數(shù)據(jù)與圖像數(shù)據(jù)同步,系統(tǒng)有可能存在同步的偏差,本文提出多種方法消除該偏差。經(jīng)過篩選,可獲得處理效果最好的高光譜圖像數(shù)據(jù),并保存參數(shù),用于以后相關(guān)的數(shù)據(jù)處理。(4)討論了基于配準(zhǔn)處理后的位姿數(shù)據(jù)的幾何校正算法,包括外方位元素的計(jì)算、空間坐標(biāo)轉(zhuǎn)換、重采樣等。其中重采樣采用了新的局部距離倒數(shù)算法,并使用多線程工具OpenMP加快圖像處理速度。經(jīng)過校正后的圖像效果良好。(5)本文詳述了機(jī)載掃描圖像姿態(tài)校正軟件系統(tǒng)的框架設(shè)計(jì)和詳細(xì)設(shè)計(jì),并實(shí)現(xiàn)了該軟件系統(tǒng)。
[Abstract]:With the maturity and development of hyperspectral remote sensing technology, the imaging technology has been widely used in meteorological and environmental monitoring, analysis of crop growth and soil erosion, mineral resources exploration, military reconnaissance and various services. Also called the airborne remote sensing aerial remote sensing, refers to the use of aircraft, airship aviation remote sensing technology tools as a means of transport. The imaging quality of airborne remote sensing image is an important problem hindering the development of this technology, the factors leading to this problem mainly in the following four aspects: (1) the carrier flight speed and altitude; (2) imager camera angle; (3) the change of attitude; (4) environmental factors, including changes in light and environmental disturbance. These factors may cause image with geometric changes, overlapping area, characteristics of similar characteristics. The system adopts multi low precision stabilization platform with high precision method of pose measurement to improve The high quality of the image. The low accuracy of image stabilization platform to ensure the image data acquisition and the deformation is not too large, high precision position and attitude measurement is used after correcting the distortion of image data. Usually, the image scanning airborne attitude correction between mostly position system and imaging system for rigid connection based imaging function of the system. Installed in the small image stabilization platform, position and attitude system installed in the vehicle, both belong to the non rigid connection. The stabilization platform for active attitude control system, the stability of limited scope, will take the initiative to limit reduction, more complex. The relative motion characteristics of the system so that there is more interference characteristics in image attitude correction in the image, attitude correction very difficult. As can be seen from the above aspects, application of image correction technology attitude is very broad, and has a new challenge and HSBC Study on the value of the rich. The stabilization of Airborne Hyperspectral Imaging Platform, studied the geometric imaging instrument calibration, pose data preprocessing and geometric correction, and to achieve the image of the attitude correction software system. The main work is as follows: (1) an important part is the brief introduction of the image acquisition system, including imaging system, image stabilization platform system, pose data measurement system. (2) according to the structure characteristics of multi view hyperspectral imager and high accuracy of the geometric calibration, the panchromatic light source, mirror, mirror rotating platform, collimator, computer and other instruments to create a a new geometric calibration method. Geometric calibration results show that the error pixel imager sub-pixel precision, meet the application requirements. (3) the attitude correction is the geometric attitude for image data based on pose data correction, the correct attitude should be corrected To pose data and image data synchronization, the system may have the synchronization error, this paper presents a variety of methods to eliminate the deviation. After screening, high spectral image data obtained the best treatment effect, and save the parameters for later related data. (4) discussed the geometric correction algorithm of pose data processing after registration based on the calculation, including the elements of exterior orientation, space coordinate conversion, resampling. The resampling using local inverse distance algorithm, and uses multi threading tool OpenMP accelerate the image processing speed. After the image effect after correction. (5) this paper describes the framework design and detailed design of the correction system airborne scanning image attitude, and implementation of the software system.

【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP751

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 ;MPtostream:an OpenMP compiler for CPU-GPU heterogeneous parallel systems[J];Science China(Information Sciences);2012年09期

2 李德仁;王密;;“資源三號(hào)”衛(wèi)星在軌幾何定標(biāo)及精度評(píng)估[J];航天返回與遙感;2012年03期

3 鄭逢杰;余濤;閆朋遠(yuǎn);范冬麗;;多光譜成像儀幾何定標(biāo)系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)[J];微計(jì)算機(jī)信息;2011年06期

4 王拴平;朱俊;宗德春;;基于GPS/INS的高光譜影像幾何粗校正[J];北京測繪;2011年01期

5 周淑賢;;基于OpenMP的多核程序設(shè)計(jì)[J];科技信息;2010年09期

6 姜明勇;陳向?qū)?;基于TMS320LF2407的遙感穩(wěn)定平臺(tái)控制器設(shè)計(jì)[J];測繪科學(xué);2008年S3期

7 王學(xué)平;;遙感圖像幾何校正原理及效果分析[J];計(jì)算機(jī)應(yīng)用與軟件;2008年09期

8 吳傳慶;王橋;王昌佐;厲青;劉曉曼;萬華偉;;幾何校正重采樣分配算法[J];三峽環(huán)境與生態(tài);2008年01期

9 楊勝科;汪駿發(fā);王建宇;;航空遙感中POS與穩(wěn)定平臺(tái)控制組合技術(shù)[J];電光與控制;2008年02期

10 王俊華;龐怡杰;王晶;唐娉;;CCD相機(jī)中高空擺掃航攝數(shù)字圖像的系統(tǒng)校正[J];地球信息科學(xué);2007年05期

相關(guān)博士學(xué)位論文 前1條

1 王義坤;面陣擺掃寬幅成像技術(shù)研究[D];中國科學(xué)院研究生院(上海技術(shù)物理研究所);2015年

相關(guān)碩士學(xué)位論文 前10條

1 張麗媛;窄重疊成像光譜數(shù)據(jù)配準(zhǔn)技術(shù)研究與實(shí)現(xiàn)[D];山東大學(xué);2016年

2 王印智;基于POS同步的PHI高光譜遙感圖像幾何校正[D];山東大學(xué);2014年

3 呂桂龍;機(jī)載推帚式高光譜圖像預(yù)處理技術(shù)研究與實(shí)現(xiàn)[D];山東大學(xué);2014年

4 陳燦;幾何校正中重采樣方法研究[D];電子科技大學(xué);2012年

5 黃波;GPS/INS輔助航空攝影測量在大比例尺成圖中的應(yīng)用與研究[D];西安科技大學(xué);2011年

6 宋占軍;基于POS數(shù)據(jù)的機(jī)載SAR數(shù)據(jù)幾何處理方法研究[D];遼寧工程技術(shù)大學(xué);2011年

7 段光明;基于圖形硬件的大規(guī)模真實(shí)感紋理映射技術(shù)研究[D];國防科學(xué)技術(shù)大學(xué);2008年

8 陶衛(wèi)中;MODIS數(shù)據(jù)預(yù)處理的并行算法設(shè)計(jì)[D];華中科技大學(xué);2007年

9 謝建東;無人直升機(jī)GPS/INS組合導(dǎo)航系統(tǒng)的設(shè)計(jì)與仿真[D];南京航空航天大學(xué);2005年

10 王勇剛;組合導(dǎo)航中的誤差處理技術(shù)[D];西北工業(yè)大學(xué);2005年

，

本文編號(hào)：1747236