Research On Remote Sensing Thematic Application Strategy For GIS Software

In recent years,GIS theory and remote sensing technology have made great progress,Because remote sensing image contains rich geographical and environmental information,The deep information can be extracted and analyzed from remote sensing images under the promotion of GIS,and because remote sensing technology has fast access to the characteristics of image data,the current remote sensing data has become an important source of GIS application updating data.In addition,in order to extract more remote sensing thematic information from remote sensing images,more and more researches have been done on the application of remote sensing data processing and analysis algorithms.As a result,various remote sensing thematic algorithms have emerged.Therefore,how to integrate remote sensing thematic algorithms with GIS software has become a hot topic in remote sensing and geographic information systems.However,the existing GIS software is based on scenes to organize and deal with the images.In the face of the development trend of massive remote sensing image data,the image organization method based on scenery cannot satisfy the high-efficiency processing,analysis and visual requirements of remote sensing image data by GIS software.In addition,the traditional remote sensing algorithm is combined with the GIS system,and the code is used to fix the remote sensing algorithm in the system.However,this solution is not conducive to the maintenance of the algorithm and the extension of functions.In response to the above issues,the main work of this article includes the following three aspects:(1)Remote sensing thematic algorithm integration strategy for GIS softwareAiming at the complex integration of traditional remote sensing algorithms and GIS software,This paper studies the integration strategy of thematic remote sensing algorithms for GIS software.The integration architecture of remote sensing thematic algorithm is proposed in the integration strategy,the architecture is based on a tree structure.It uses XML technology to describe and manage the remote sensing algorithm and algorithm visualization interface,reduces the coupling degree between remote sensing algorithm and system,enhances the scalability of the system,and finally realizes the dynamic integration of the remote sensing thematic algorithm in GIS software.(2)Remote sensing tile data spatial processing strategy for GIS softwareFor the problem that the existing GIS software can't process the big data of remote sensing image efficiently,this paper abandons the image organization method based on scenes in the traditional GIS software,and uses Five-layer Fifteen-level,remote sensing tiles as the basic unit of data processing;Based on the spatial characteristics and temporal characteristics of data,a set of spatial processing strategy for tile data was proposed to meet the requirements of GIS systems for efficient processing,analysis,and visualization of remote sensing image big data.(3)Implementation of a remote sensing thematic prototype system based on dotspatialThe basic functions of the GIS software are implemented based on the Dotsapial class library.Using the WinForm form,the visual interface of the remote sensing thematic prototype system is constructed.According to the characteristics of tile data,the task area selection,tile data distribution,tile full coverage,single temporal tile loading and thematic mapping for tile data are designed.The remote sensing thematic prototype system designed in this paper can not only integrate the remote sensing algorithm flexibly,but also can effectively remotely sense the tile data.The remote sensing thematic algorithm and the input data of the algorithm are intelligently integrated through the GIS platform.The project has proved that the research can not only efficiently process and organize tile data,but also simplifies the integration of remote sensing thematic module algorithm and GIS software,and realizes flexible dynamic integration of remote sensing thematic algorithms.The research in this paper provides new ideas and methods for the development of geographic information systems in data organization and algorithm integration.