面向地表覆蓋變化檢測的服務(wù)關(guān)系模型與方法研究
本文選題:地表覆蓋更新 + 在線變化檢測; 參考:《中國礦業(yè)大學(xué)(北京)》2017年博士論文
【摘要】:遙感影像變化檢測是大范圍地表覆蓋數(shù)據(jù)更新的重要技術(shù)手段。近年來,國內(nèi)外研究學(xué)者從不同的角度提出了大量的變化檢測算法或模型,但尚未有一種通用的方法能夠適用于所有的影像數(shù)據(jù)條件、地表覆蓋數(shù)據(jù)類型和地理區(qū)域特點(diǎn)。因此,在應(yīng)對大范圍地表覆蓋變化監(jiān)測和更新任務(wù)時,用戶需要根據(jù)專家經(jīng)驗知識選擇較優(yōu)的變化檢測算法,繼而構(gòu)建處理流程。事實(shí)上,變化檢測領(lǐng)域的算法與數(shù)據(jù)之間、數(shù)據(jù)與數(shù)據(jù)之間以及算法與算法之間存在著諸如競爭、協(xié)作、約束等關(guān)聯(lián)關(guān)系,深入理解這些"算法-數(shù)據(jù)"關(guān)系將有助于實(shí)現(xiàn)變化檢測算法的優(yōu)選以及處理流程的靈活構(gòu)建。然而,目前國內(nèi)外對變化檢測"算法-數(shù)據(jù)"關(guān)系的系統(tǒng)性總結(jié)、形式化描述和表達(dá)以及應(yīng)用等方面均缺乏深入的研究。當(dāng)前的一個重要發(fā)展趨勢是借鑒Web Service、服務(wù)計算等理論方法,將變化檢測所涉及的數(shù)據(jù)和算法以Web Service的方式進(jìn)行封裝與發(fā)布,發(fā)展基于服務(wù)計算的地表覆蓋在線變化檢測。本文在Web Service的背景下,將變化檢測的"算法-數(shù)據(jù)"關(guān)系映射為Web服務(wù)關(guān)系,研究了服務(wù)關(guān)系建模、表達(dá)、推理等理論,提出了變化檢測服務(wù)關(guān)系的分類與描述方法、構(gòu)建了變化檢測服務(wù)關(guān)系的表達(dá)模型、發(fā)展了基于服務(wù)關(guān)系的變化檢測處理動態(tài)構(gòu)建方法,主要研究內(nèi)容與取得的成果如下:(1)研究了變化檢測“算法-數(shù)據(jù)”關(guān)系映射為Web服務(wù)關(guān)系的問題,提出了變化檢測服務(wù)關(guān)系的分類與描述方法。以山東省為實(shí)驗區(qū)域,設(shè)計了大范圍地表覆蓋變化檢測實(shí)驗,研究了變化檢測算法選擇、處理流程定制等面臨的技術(shù)問題。剖析了地表覆蓋變化檢測中存在的"算法-數(shù)據(jù)"關(guān)系及其封裝為Web服務(wù)時映射形成的Web服務(wù)關(guān)系,進(jìn)而提出基于服務(wù)語義的變化檢測服務(wù)關(guān)系分類方法,即通過分析變化檢測服務(wù)的數(shù)據(jù)、操作、執(zhí)行和QoS語義,凝練出"接口-行為-執(zhí)行"三個層級9種類型的Web服務(wù)關(guān)系,其中接口層3種,行為層4種,執(zhí)行層2種。最后,綜合考慮變化檢測領(lǐng)域數(shù)據(jù)的屬性特征、處理服務(wù)的多級粒度以及服務(wù)接口語義匹配關(guān)系等因素,利用描述邏輯(Description Logic)對這9種的服務(wù)關(guān)系進(jìn)行形式化的定義與描述。(2)研究了服務(wù)關(guān)系組織、表達(dá)、存儲等問題,構(gòu)建了地表覆蓋變化檢測服務(wù)關(guān)系的表達(dá)模型。首先,在上述服務(wù)關(guān)系分類和描述的基礎(chǔ)上,明晰了服務(wù)、服務(wù)語義、服務(wù)關(guān)系三類對象元素及其之間的聚合、依賴等關(guān)聯(lián)關(guān)系,建立了基于ORD(Object and Relation Diagram)的服務(wù)關(guān)系概念模型。然后,借鑒超圖模型在多元關(guān)系表達(dá)中的優(yōu)勢,定義了變化檢測服務(wù)關(guān)系超圖(Service Relation hyper Graph for Change Detection,SRhG-CD),提出了基于超圖的邏輯表達(dá)模型,利用簡單邊、超邊、有向邊和無向邊有效地表達(dá)了服務(wù)間諸如競爭關(guān)系、順序關(guān)系、隸屬關(guān)系等多粒度、多元性的服務(wù)關(guān)系,突破了傳統(tǒng)的有向圖模型在表達(dá)多元服務(wù)關(guān)系時的回路問題,避免了其在推理過程中引發(fā)的死循環(huán)現(xiàn)象。最后,提出了基于OWL DL的變化檢測服務(wù)關(guān)系形式化表達(dá)與物理存儲策略,發(fā)展了一種基于語義標(biāo)注和服務(wù)關(guān)系判定的SRhG-CD模型更新演化方法,為服務(wù)關(guān)系的推理和應(yīng)用奠定了基礎(chǔ)。(3)研究了變化檢測服務(wù)鏈按需生成的問題,發(fā)展了基于服務(wù)關(guān)系的變化檢測處理動態(tài)構(gòu)建方法。依據(jù)提煉的"接口-行為-執(zhí)行"三層服務(wù)關(guān)系,構(gòu)建了用于確定變化信息提取服務(wù)和數(shù)據(jù)預(yù)處理服務(wù)的4種推理規(guī)則,采用SWRL(Semantic Web Rule Language)對推理規(guī)則進(jìn)行形式化表達(dá),進(jìn)而構(gòu)建了基于規(guī)則多類別語義匹配的閉包服務(wù)集,縮小了服務(wù)鏈按需生成時的服務(wù)查找空間。并在此基礎(chǔ)上,將用戶需求描述為起始數(shù)據(jù)、期望數(shù)據(jù)和期望QoS的三元組模型,以用戶起始數(shù)據(jù)和期望數(shù)據(jù)為功能性驅(qū)動,提出了一種基于后繼服務(wù)查找的服務(wù)鏈生成算法。以用戶期望QoS為非功能性驅(qū)動,發(fā)展了一種變化檢測服務(wù)鏈評價方法,實(shí)現(xiàn)了服務(wù)鏈的最優(yōu)化選取。該變化檢測處理動態(tài)構(gòu)建方法解決了傳統(tǒng)的服務(wù)鏈固定編排調(diào)用帶來的處理構(gòu)建自動化程度低的問題,實(shí)現(xiàn)了用戶功能性和非功能性需求約束下變化檢測服務(wù)鏈的靈活生成。(4)研制了地表覆蓋在線變化檢測實(shí)驗原型系統(tǒng)在上述理論研究的基礎(chǔ)上,基于服務(wù)計算、WebGIS等技術(shù)研制了地表覆蓋在線變化檢測實(shí)驗原型系統(tǒng)(GLC-OCD);贏rcGIS Server、WSDL、OGC WPS三種常用的服務(wù)標(biāo)準(zhǔn),給出了變化檢測處理服務(wù)封裝與發(fā)布的過程。設(shè)計了基于Protégé軟件的服務(wù)關(guān)系建模、SRhG-CD模型更新演化實(shí)驗。在GLC-OCD平臺上,給出了地表覆蓋在線變化檢測的具體案例,依據(jù)用戶提供的初始數(shù)據(jù)(2010年的Landsat 5 TM和2015年的Landsat 8 OLI數(shù)據(jù))和期望數(shù)據(jù)(變化區(qū)域和變化類別數(shù)據(jù)),系統(tǒng)動態(tài)地構(gòu)建出8條滿足用戶功能性需求的服務(wù)鏈;依據(jù)用戶提供的期望QoS("處理時間","小于","22","分鐘"),系統(tǒng)推薦了1條最優(yōu)的服務(wù)鏈。實(shí)驗結(jié)果表明,在變化檢測服務(wù)關(guān)系模型與處理動態(tài)構(gòu)建方法的支持下,借助于GLC-OCD系統(tǒng),可實(shí)現(xiàn)用戶需求驅(qū)動下的變化檢測服務(wù)鏈的靈活構(gòu)建與在線執(zhí)行,為地表覆蓋大范圍變化監(jiān)測與更新提供了新思路新方法。
[Abstract]:Remote sensing image change detection is an important technical means for large scale surface coverage data updating. In recent years, researchers at home and abroad have proposed a large number of change detection algorithms or models from different angles, but there is not a general method that can be applied to all image data items, and the surface coverage of data types and geographical features. Therefore, in response to large scale surface coverage change monitoring and updating tasks, users need to select better change detection algorithms based on expert experience knowledge and build processing processes. In fact, there are competition, collaboration, and constraints between algorithms and data in the field of change detection, between data and data, and between algorithms and algorithms. Understanding these "algorithmic data" relationships will help to realize the optimization of change detection algorithms and the flexible construction of processing processes. However, the systematic summary of the "algorithm data" relationship, formal description, expression and application of the change detection "algorithm data" are lack of in-depth research at present. The development trend is to use the Web Service, service computing and other theoretical methods to encapsulate and publish the data and algorithms involved in the change detection in the way of Web Service, and develop the online change detection of surface coverage based on service computing. In this paper, the "algorithm data" relationship of change detection is mapped to Web service in the context of Web Service Relations, study the theory of service relation modeling, expression, reasoning and so on, propose the classification and description method of change detection service relation, construct the expression model of change detection service relation, develop the dynamic construction method of change detection processing based on service relation, the main research content and the achievements are as follows: (1) studying the change detection The relationship between algorithm and data is mapped to Web service relation, and the classification and description method of change detection service relationship is proposed. Taking Shandong Province as the experimental area, a large range surface cover change detection experiment is designed. The technical problems faced by the selection of change detection algorithm and process customization are studied. The change of surface cover change is analyzed. The "algorithm data" relationship in the detection and the Web service relationship that the package is mapped to Web service, and then the classification method of the service relation based on the service semantics is proposed, that is, by analyzing the data, operation, execution and QoS semantics of the change detection service, 9 types of Web suits are trained by the three levels of "interface behavior execution". There are 3 kinds of interface layer, 4 kinds of behavior layer and 2 kinds of execution layer. Finally, we consider the attribute characteristics of the data in the change detection field, deal with the multilevel granularity of the service and the semantic matching relation of the service interface, and use the description logic (Description Logic) to formalize the definition and description of the 9 kinds of service relations. (2) research (2) Service relations organization, expression, storage and other problems, construction of the expression model of surface cover change detection service relationship. First, on the basis of the classification and description of the above service relations, the service, service semantics, service relations and the three kinds of object elements and the relation between the aggregation and dependence are defined, and the ORD (Object and Relatio) is established. N Diagram) concept model of service relations. Then, drawing on the advantages of hypergraph model in the expression of multivariate relations, we define the change detection service relation hypergraph (Service Relation hyper Graph for Change Detection, SRhG-CD), and propose a logical expression model based on hypergraph, which is effectively expressed by simple edges, super edges, both side and undirected edges. The service relations, such as competition relation, sequence relationship and subordinate relationship, break through the loop problem of the traditional directed graph model in the expression of multiple service relations and avoid the dead cycle phenomenon in the reasoning process. Finally, the formal expression of the change detection service relationship based on OWL DL is proposed. With the physical storage strategy, a new method of updating and evolving SRhG-CD model based on semantic annotation and service relation decision is developed, which lays the foundation for the reasoning and application of service relations. (3) the problem of changing detection service chain on demand is studied, and the dynamic construction method of change detection processing based on service relationship is developed. The interface - behavior - executes "three layers of service relations, constructs 4 reasoning rules for determining the change information extraction service and data preprocessing service, and uses SWRL (Semantic Web Rule Language) to formally express the reasoning rules, and then constructs a closed packet service set based on the rules and multiple category semantic matching, which reduces the service chain in demand. On this basis, the user requirements are described as the starting data, and the three tuple model of the expected data and expected QoS is expected to be driven by the user initial data and expected data. A service chain generation algorithm based on the successor service lookup is proposed. The user expected QoS is a non functional driver and develops a non functional drive. The change detection service chain evaluation method has realized the optimal selection of service chain. The dynamic construction method of the change detection and processing solves the problem of low automation in the processing of the traditional service chain fixed arrangement call, and realizes the flexible generation of the change detection service chain under the requirements of the user's functional and non functional requirements. 4) on the basis of the above theoretical research, based on the above theoretical research, the prototype system of surface coverage on-line change detection (GLC-OCD) is developed on the basis of the above theoretical research. Based on the three common service standards of ArcGIS Server, WSDL and OGC WPS, the package and hair of the change detection and processing service are given. A service relationship modeling based on Prot e g is designed, and the SRhG-CD model updating and evolution experiment is designed. On the GLC-OCD platform, a specific case of the on-line change detection of surface coverage is given, based on the initial data provided by the user (the Landsat 5 TM in 2010 and the Landsat 8 OLI data in 2015) and the expected data (changing regions and changes) The system dynamically builds 8 service chains to meet the user's functional requirements; according to the expected QoS ("processing time", "less", "22", "minute") provided by the user, the system recommends 1 optimal service chains. The experimental results show that, with the support of the change detection service relation model and the processing dynamic construction method, the system has the aid of GLC-OCD The system can realize the flexible construction and online execution of the change detection service chain driven by the user needs, and provide a new method for monitoring and updating the large scale change of the surface.
【學(xué)位授予單位】:中國礦業(yè)大學(xué)(北京)
【學(xué)位級別】:博士
【學(xué)位授予年份】:2017
【分類號】:P237
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 宮鵬;張偉;俞樂;李叢叢;王杰;梁璐;李雪草;計璐艷;白玉琪;;全球地表覆蓋制圖研究新范式[J];遙感學(xué)報;2016年05期
2 陳軍;張俊;張委偉;彭舒;;地表覆蓋遙感產(chǎn)品更新完善的研究動向[J];遙感學(xué)報;2016年05期
3 張委偉;陳軍;廖安平;韓剛;陳學(xué)泓;陳利軍;彭舒;武昊;張俊;;顧及多元知識的GlobeLand30檢核優(yōu)化模型[J];中國科學(xué):地球科學(xué);2016年09期
4 李德仁;柳來星;;上下文感知的智慧城市空間信息服務(wù)組合[J];武漢大學(xué)學(xué)報(信息科學(xué)版);2016年07期
5 應(yīng)申;楊杰;王凱;朱利平;李程鵬;李智;;眾包模式下室內(nèi)地圖變化發(fā)現(xiàn)與更新[J];測繪地理信息;2016年02期
6 鄭昌興;劉喜文;;基于規(guī)則推理和案例推理的應(yīng)用模型構(gòu)建研究——以地震類突發(fā)事件為例[J];情報理論與實(shí)踐;2016年02期
7 佟國峰;李勇;丁偉利;岳曉陽;;遙感影像變化檢測算法綜述[J];中國圖象圖形學(xué)報;2015年12期
8 張鈳;陳家贏;黃魏;;基于OGC WPS的TVDI算法實(shí)現(xiàn)與共享[J];華中農(nóng)業(yè)大學(xué)學(xué)報;2015年05期
9 邢華橋;武昊;侯妙樂;侯東陽;;顧及語義匹配類別的遙感處理服務(wù)組合方法[J];地理與地理信息科學(xué);2015年05期
10 梁汝鵬;李宏偉;馬雷雷;李文娟;;地理信息服務(wù)語義標(biāo)注原理與關(guān)鍵技術(shù)及應(yīng)用[J];地球信息科學(xué)學(xué)報;2015年04期
相關(guān)博士學(xué)位論文 前8條
1 謝寶妮;黃土高原近30年植被覆蓋變化及其對氣候變化的響應(yīng)[D];西北農(nóng)林科技大學(xué);2016年
2 馮建周;語義Web服務(wù)自動組合的關(guān)鍵技術(shù)研究[D];燕山大學(xué);2013年
3 承達(dá)瑜;空間型熱點(diǎn)會商系統(tǒng)的動態(tài)服務(wù)計算研究[D];中國礦業(yè)大學(xué);2012年
4 詹勤;基于本體的遙感信息處理服務(wù)語義描述研究[D];武漢大學(xué);2010年
5 陳旭;基于WSMO的遙感影像處理服務(wù)語義描述與注冊共享機(jī)制研究[D];武漢大學(xué);2009年
6 朱海平;基于概念圖匹配的語義搜索[D];上海交通大學(xué);2006年
7 李緒蓉;面向業(yè)務(wù)構(gòu)件的可重構(gòu)信息系統(tǒng)的模型研究[D];南京航空航天大學(xué);2002年
8 延昊;中國土地覆蓋變化與環(huán)境影響遙感研究[D];中國科學(xué)院研究生院(遙感應(yīng)用研究所);2002年
相關(guān)碩士學(xué)位論文 前6條
1 王東廣;基于低空遙感影像的建設(shè)用地變化檢測研究[D];南京大學(xué);2013年
2 羅葉飛;Web服務(wù)關(guān)系挖掘及應(yīng)用研究[D];湖南科技大學(xué);2011年
3 張浩;服務(wù)關(guān)聯(lián)挖掘及網(wǎng)絡(luò)分析[D];天津大學(xué);2010年
4 陳布偉;面向語義Web服務(wù)的SWRL推理機(jī)制研究[D];大連海事大學(xué);2009年
5 王記偉;基于規(guī)則推理的應(yīng)急事件自動處理技術(shù)研究[D];東華大學(xué);2009年
6 王松;語義網(wǎng)服務(wù)中基于SWRL推理機(jī)制的研究[D];大連海事大學(xué);2008年
,本文編號:2091575
本文鏈接:http://sikaile.net/kejilunwen/dizhicehuilunwen/2091575.html