Design And Development Of Online Knowledge Database For Remote Sensing Interpretation Of Geographic Objects Based On OpenLayers

The information representation of geographic objects has always been the focus of geographical research.Whether in practical application or in geography teaching,mastering the accurate information of geographical objects is an important prerequisite for subsequent geographical environment analysis.For a long time,geography has mainly relied on field observations to obtain first-hand information of geographical objects,which is time-consuming and laborious.Remote sensing images can objectively,efficiently and reflect the reality of geographic objects in time.Because of the great difference in the expression of remote sensing images,such as electromagnetic wave,different phase and different geographical environment,the cognitive work of remote sensing image interpretation needs a lot of relevant professional background knowledge.Therefore,it is extremely important to build remote sensing image interpretation knowledge database for different categories and spatio-temporal geographical objects.Knowledge database is an intelligent platform knowledge system that uses specific logical methods to express knowledge,and is a kind of intelligent platform knowledge system,which is classified,ordered,integrated and functionalized.It is used to facilitate the efficient solution of designated domain problems.In order to establish a systematic knowledge database for remote sensing interpretation of geographical objects,this paper mainly studies three aspects.(1)The knowledge database expression model of remote sensing interpretation of geographical objects.Based on the geographical conditions monitoring data,this paper studies the geographic object classification method and the knowledge database system based on the geographical conditions survey content and index,and focuses on the spatial and temporal distribution of geographical objects and the remote sensing images carrying geographical objects,and studies the different categories and the spatial distribution geographic object knowledge database models.In different types of geographic objects,the knowledge database model of remote sensing image interpretation of different resolution and different bands is studied,and a clear knowledge database expression model of remote sensing interpretation of geographic objects is constructed.(2)Spatial database technology is used to create knowledge database for remote sensing interpretation of geographical objects.In view of the problem of knowledge learning and low utilization efficiency of remote sensing interpretation of geographic environment objects,the expression method of geographical entity interpretation samples is established by using MySQL database to store geographic entities and content index data,and the storage mode of remote sensing image sample data is studied in order to efficiently manage the remote sensing of geographical objects to interpret sample data.The efficient way of correlation between geographic entities and remote sensing image sample data is studied.(3)design and implementation of online learning platform for remote sensing knowledge base of geographical objects.Based on the B/S development framework,the database uses the MySQL database to store the data and builds the server end's data service API on the node.js platform.The client is mainly based on the browser to develop the interactive interface of the web site.Based on the OpenLayers library,the remote sensing interpretation samples are displayed in space,and the number of remote sensing images is provided at the same time.According to the time axis of the source,a remote sensing image is selected by users for a certain period of time.