本文選題：土地利用調(diào)查 + 農(nóng)業(yè)遙感��； 參考：《華東師范大學》2015年碩士論文

【摘要】：目視解譯是大比例尺遙感土地利用分類的基本方法,長期以來存在著效率和精度方面的問題。一個重要原因是解譯過程受限于傳統(tǒng)紙質(zhì)操作平臺,無法有效整合多源異質(zhì)數(shù)據(jù)來支持復(fù)合邏輯判斷。WebGIS的使用可以彌補這一方面的缺陷,即通過對在線/線異源異質(zhì)相關(guān)數(shù)據(jù)的空間整合,以及多時相遙感圖像的組合,搜集更為充分的視覺證據(jù),最大程度地降低地類判讀的不確定性,并能即時將矢量化判讀結(jié)果直接整合進入數(shù)據(jù)庫。本研究以農(nóng)業(yè)用地現(xiàn)狀的大比例尺遙感調(diào)查為切入點,研究基于WebGIS平臺的多源異質(zhì)數(shù)據(jù)的空間整合方法與技術(shù),探索和建立精細地類目視判別的多元復(fù)合證據(jù)邏輯推理規(guī)則,旨在提高可分類別數(shù)目和分類精度。本文的科學問題是,對于在光譜和形態(tài)上無法識別的地物,如何通過多證據(jù)復(fù)合推理來建立其類別語義的可信度。這里牽涉到對研究區(qū)域的農(nóng)業(yè)文化和實踐特點的知識運用,并非單純的視覺判斷。研究結(jié)果將提煉出用于遙感判讀專家系統(tǒng)／知識庫的判讀規(guī)則。本文首先闡述土地利用調(diào)查和遙感影像目視解譯相關(guān)基礎(chǔ)理論,并簡述3S技術(shù)(即地理信息系統(tǒng)、遙感及全球定位系統(tǒng))在土地利用調(diào)查中的應(yīng)用。其次,從實際應(yīng)用需求出發(fā),參與設(shè)計了農(nóng)業(yè)用地現(xiàn)狀數(shù)據(jù)在線采集系統(tǒng)。以遙感影像目視解譯理論為基礎(chǔ),結(jié)合該系統(tǒng)的特點,通過整合多源輔助信息,研究和提出了一種基于WebGIS的農(nóng)業(yè)用地現(xiàn)狀數(shù)據(jù)調(diào)查方法,這是本研究的方法論基礎(chǔ)。最后,以上海市為例,對上述解譯方法進行了實例探究。在課題組完成上海市農(nóng)業(yè)用地現(xiàn)狀數(shù)據(jù)在線采集工作的基礎(chǔ)上,進行了精度驗證,結(jié)果數(shù)據(jù)質(zhì)量很高,證明了本研究方法的合理性。另外,作者通過參與室內(nèi)判讀和外業(yè)調(diào)研工作,進一步補充和完善了基于航拍圖像的上海市農(nóng)業(yè)用地判讀規(guī)則,為后期計算機自動解譯算法設(shè)計提供參考。
[Abstract]:Visual interpretation is the basic method of land-use classification for large scale remote sensing. There have been problems in efficiency and accuracy for a long time. One of the important reasons is that the process of interpretation is limited to the traditional paper operating platform. It can not effectively integrate multi source heterogeneous data to support the use of complex logic judgment.WebGIS, which can make up for this problem. In this research, the large scale remote sensing of the current situation of agricultural land can be obtained by integrating the spatial integration of the heterogeneous and heterogeneous data of the online / line and the combination of the multi temporal remote sensing images to collect more sufficient visual evidence to minimize the uncertainty of the class interpretation and directly integrate the vectorization interpretation results into the database. As a breakthrough point, the spatial integration method and technology of multi source heterogeneous data based on WebGIS platform are studied, and the logical reasoning rules of multiple compound evidence for fine visual discrimination are explored and established to improve the number of classifications and classification accuracy. The scientific problem in this paper is for objects that can not be identified in spectral and form, such as There is no simple visual judgement on the application of knowledge to the agricultural culture and practice characteristics of the study area. The results will extract the interpretation rules for the remote sensing interpretation expert system / knowledge base. This paper first expounds the land use survey and remote sensing. The application of 3S Technology (geographic information system, remote sensing and global positioning system) in land use survey is described. Secondly, the online acquisition system of agricultural land use status data is designed from the actual application requirements. Based on the theory of remote sensing visual interpretation, the characteristics of the system are combined. Through the integration of multi source auxiliary information, this paper studies and puts forward a survey method of agricultural land use status data based on WebGIS, which is the basis of the methodology of this study. Finally, taking Shanghai as an example, a case study is carried out on the above interpretation method. On the basis of the task group completing the online data collection of the current situation of agricultural land in Shanghai, the project is carried out. The quality of the result data is very high, which proves the rationality of this method. In addition, the author further supplemented and perfected Shanghai agricultural land interpretation rules based on aerial images, and provided reference for the design of automatic interpretation algorithm in the later period.

【學位授予單位】：華東師范大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：P208;P237

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