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遙感衛(wèi)星地面預(yù)處理系統(tǒng)可視化研究

發(fā)布時間:2018-06-26 11:35

  本文選題:遙感衛(wèi)星地面預(yù)處理系統(tǒng) + 可視化; 參考:《中國科學(xué)院大學(xué)(中國科學(xué)院遙感與數(shù)字地球研究所)》2017年碩士論文


【摘要】:遙感衛(wèi)星數(shù)據(jù)地面預(yù)處理系統(tǒng)主要負(fù)責(zé)對衛(wèi)星地面站接收到的遙感數(shù)據(jù)進(jìn)行歸檔與管理,并進(jìn)行解壓縮、輻射校正、幾何校正等預(yù)處理操作,以生成各級標(biāo)準(zhǔn)影像,為進(jìn)一步的遙感應(yīng)用提供可靠的數(shù)據(jù)。近年來,對地觀測技術(shù)取得了長足的發(fā)展,遙感衛(wèi)星影像的空間分辨率、光譜分辨率和時間分辨率大大提高。每天遙感衛(wèi)星地面預(yù)處理系統(tǒng)都會收到遙感衛(wèi)星發(fā)送的大量數(shù)據(jù),但是由于缺乏對海量數(shù)據(jù)的有效的管理、展示和分析手段,一些遙感衛(wèi)星地面預(yù)處理系統(tǒng)會給人一種“難用”的體驗(yàn)。為了提升系統(tǒng)的可用性,我們首先對系統(tǒng)的具體使用者進(jìn)行分析。系統(tǒng)的使用者涉及到兩類角色,一類是監(jiān)控原始數(shù)據(jù)生產(chǎn)過程的管理人員,另一類是使用最終影像數(shù)據(jù)的用戶。由于人類接收外界信息很大一部分是通過視覺來完成的,人類視覺感知系統(tǒng)具有高速,大容量,并行等特點(diǎn)。利用這一原理,我們可以利用可視化技術(shù)來提高遙感衛(wèi)星地面預(yù)處理系統(tǒng)的可用性。本文通過對遙感衛(wèi)星地面預(yù)處理系統(tǒng)的可視化現(xiàn)狀深入分析,得出了提升系統(tǒng)可用性的三個關(guān)鍵點(diǎn):遙感影像數(shù)據(jù)生產(chǎn)流程的可視化,遙感數(shù)據(jù)的可視化展示以及遙感影像數(shù)據(jù)幾何定位精度檢驗(yàn)可視化。具體研究以一個典型的遙感衛(wèi)星地面預(yù)處理系統(tǒng)——中國遙感衛(wèi)星地面站衛(wèi)星數(shù)據(jù)技術(shù)部中記錄與處理技術(shù)組開發(fā)的通用遙感衛(wèi)星數(shù)據(jù)處理系統(tǒng)(VRS,The Versatile Remote Sensing Satellite Data Processing System)為基礎(chǔ),設(shè)計了一個能夠較好滿足管理人員和用戶可視化需求的解決方案并升級改造了原VRS系統(tǒng)中的可視化部分。論文的主要工作如下:1、實(shí)現(xiàn)了流程可視化。通過分析管理人員對遙感地面預(yù)處理系統(tǒng)中的流程可視化需求,研究了BPMN規(guī)范。以符合BPMN規(guī)范的開源實(shí)現(xiàn)JBPM工作流管理系統(tǒng)為基礎(chǔ),提出將JBPM可視化模塊與現(xiàn)有可視化解決方案結(jié)合的方法。這種方法可以更加方便快捷地實(shí)現(xiàn)流程可視化,避免了之前解決方案中所需要的大量開發(fā)維護(hù)工作。2、完善實(shí)現(xiàn)了遙感數(shù)據(jù)的可視化展示。通過分析用戶對數(shù)據(jù)概要信息展示的需求,研究了WMS標(biāo)準(zhǔn)。以符合WMS標(biāo)準(zhǔn)的開源實(shí)現(xiàn)MapServer為基礎(chǔ),通過對各級別數(shù)據(jù)的整合完善實(shí)現(xiàn)了各級別數(shù)據(jù)的可視化展示。提高了數(shù)據(jù)的重復(fù)利用率,使用戶不僅僅可以查看最終的遙感影像數(shù)據(jù),而且可以查看原始條帶,分景數(shù)據(jù),輻射校正產(chǎn)品等各個級別的遙感數(shù)據(jù)的縮略圖與元數(shù)據(jù)。3、實(shí)現(xiàn)了遙感影像數(shù)據(jù)幾何定位精度檢驗(yàn)可視化。通過分析用戶對影像幾何定位精度檢驗(yàn)的需求,研究了計算機(jī)視覺領(lǐng)域常用的自動匹配算法和多源遙感影像自動匹配的難點(diǎn)。提出了一種對高分影像和同分辨率谷歌地球影像的進(jìn)行自動匹配的算法,該算法使用RPC參數(shù)來縮小匹配區(qū)域,并使用角點(diǎn)以及虛擬點(diǎn)來剔除SIFT關(guān)鍵點(diǎn)以得到關(guān)鍵點(diǎn)集合。在得到關(guān)鍵點(diǎn)集合后,利用雙向匹配的策略對這些備選匹配點(diǎn)進(jìn)行相似性測度,最后使用RANSAC算法對匹配點(diǎn)提純得到同名點(diǎn),以實(shí)現(xiàn)遙感產(chǎn)品數(shù)據(jù)的自動幾何定位精度檢驗(yàn)。
[Abstract]:The remote sensing satellite data ground preprocessing system is mainly responsible for archiving and managing the remote sensing data received by satellite ground stations, and carries out pre processing operations such as decompression, radiometric correction and geometric correction to generate standard images at all levels and provide reliable data for further remote sensing applications. In recent years, the technology of earth observation has been made a great deal. The spatial resolution, spectral resolution and time resolution of remote sensing satellite images are greatly improved. Every day remote sensing satellite ground preprocessing system will receive a large amount of data from remote sensing satellites. However, due to the lack of effective management of mass data, display and analysis methods, some remote sensing satellite ground preprocessing systems will be given Human beings are a "difficult" experience. In order to improve the availability of the system, we first analyze the specific users of the system. The users of the system are involved in two types of roles, one is the manager that monitors the production process of the original data, the other is the user who uses the final image data. The human visual perception system has the characteristics of high speed, large capacity and parallel. Using this principle, we can use the visualization technology to improve the availability of remote sensing satellite ground preprocessing system. Through the in-depth analysis of the visual status of the remote sensing satellite ground preprocessing system, the hoisting system is obtained. Three key points of universal availability: visualization of remote sensing image data production process, visualization of remote sensing data and visualization of geometric positioning accuracy test of remote sensing image data. A typical remote sensing satellite ground preprocessing system -- recording and processing in the satellite data Technology Department of China remote sensing satellite ground station Based on the general purpose remote sensing satellite data processing system (VRS, The Versatile Remote Sensing Satellite Data Processing System) developed by the technology group, a solution to meet the visual requirements of the managers and users is designed and the visual part of the original VRS system is upgraded. The main work of this paper is as follows: 1, The process visualization is realized. The BPMN specification is studied by analyzing the management personnel's demand for the process visualization in remote sensing ground preprocessing system. Based on the open source JBPM workflow management system which meets the BPMN specification, the method of combining the JBPM visualization module with the existing visual solution is proposed. This method can be more square. It realizes the process visualization quickly, avoids the large amount of development and maintenance.2 needed in the previous solution, and improves the visualization of remote sensing data. By analyzing the user's demand for the presentation of data summary information, the WMS standard is studied. Based on the open source implementation of the WMS standard, the data is based on the various levels of data. The integration and perfection of the data has realized the visual display of data. It improves the reuse rate of data. Users can not only view the final remote sensing image data, but also view the original strip, the scene data, the radiation correction products and other levels of the remote sensing data of the thumbnail and metadata.3, to realize the remote sensing image data several The difficulty of automatic matching algorithm and multi source remote sensing image matching algorithm commonly used in the field of computer vision is studied by analyzing the requirement of user's accuracy test for image geometric positioning. An algorithm for automatic matching of high image and same resolution Google earth image is proposed. Using the RPC parameter to reduce the matching area, and use the corner point and the virtual point to eliminate the key points of the SIFT to get the key point set. After getting the key point set, using the two-way matching strategy to measure the similarity of these matching points, and finally use the RANSAC algorithm to get the same name points to achieve the remote sensing product data. Automatic geometric positioning accuracy test.
【學(xué)位授予單位】:中國科學(xué)院大學(xué)(中國科學(xué)院遙感與數(shù)字地球研究所)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP75;V557

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