Road Network Extraction And Change Detection Of High Resolution Remote Sensing Image

Road is an important part of transportation,the emergence of the road is very convenient for people's daily work and life.However,due to the characteristics of the road itself,it takes a lot of manpower and material resources to monitor the road in real time.For example,the establishment of the station in ancient times is a monitoring behavior of the road.This method is slow and difficult to achieve real-time information transmission.With the development of science and technology,the appearance of remote sensing satellite makes it possible to monitor the road network in real time.In the new century,the resolution of remote sensing image has been significantly enhanced with the advances of satellite technology,which provides a great convenience for road detection in remote sensing images.On the basis of this technology,with the advent of the information age,the image data calculated by TB makes it difficult to extract road network remote sensing image manually in the utilization information of remote sensing images greatly limits the manual marking of remote sensing image.Based on this situation,this paper presents an automatic extraction and change detection algorithm for remote sensing image road based on morphological clustering,greatly improve the degree of automation of the remote sensing image of road detection,geometry,the algorithm for remote sensing image road radiation,topology and background characteristics of design.Firstly,the square rotation similarity template is used to extract the possible regions.Then clustering method is used to cluster the possible regions to get the road network in remote sensing images.Finally,the shortest path and the candidate region angle restriction strategy are used to connect the road network,so as to ensure the accuracy and integrity of the road network extraction.In addition,on the basis of the extraction of road network,this paper introduces an application of road network extraction,the change detection of road and the change detection method based on classification.The positive and negative area contrast method is used to correct the error.The results obtained in this paper are tested,and good results are obtained.Compared with other methods,the method of screening in road candidate regions are introduced on the clustering method to improve the road network detection,using morphological methods in the construction of road network,and finally get a complete roadnetwork.The proposed method is used to detect the change of the road network,and a good result is obtained.