With the vigorous development of our country’s highway, road number is growing rapidly, the road level of investigation andcan not meet the needs of transportation infrastructure development. Keeping track of information and technical conditions of road traffic facilities in urban and rural areas have great significance for the use of road network, , planning and construction. The area of road transport facilities is very widespread and the condition changed every year frequently. Direct investigation on the ground is accurate, but need to spend a lot of manpower and financial resources. This approach does not reflect the advantages of modern technology. As one of the fastest growing technology, remote sensing is being used in the investigation of resource information widely.This paper mainly introduces the investigation condition of current situation of rural road network for large area of regional based on remote sensing images. The information of rural road network of sub-township is extracted. A county road network was created. This paper includes the following work. Remote sensing image was collected, researched and preprocessed. Image preprocessing includes image correction, enhancement, stitching and cutting. Extraction the regional road network based on mathematical morphology. Road network information database is established by using ARCGIS software. The thematic maps were produced. A rural road network for the basic of road network was produced by using component technology finally.This paper proposed an effective model for census of the road status according to the remote sensing images for the extraction of rural road network timely in large area region. Road network in large area is able to map in a short period of time. The efficiency of road network data update was improved. The potential value of using remote sensing data in transport facilities management and planning is enhanced.The extraction of road network based on the mathematical morphology was discussed in this paper. Firstly,original image was transformed through hat and low-cap method. Then, The contrast enhancement processing maximized can enhanced road network characteristics significantly. Finally the centerline of the road was extracted through two-valued segmentation, thinning, length detection processing. Experiment meet the extraction requirements, the Method is feasible through quality evaluation.Based GIS secondary development principles competently, combined with VB and MapObjects, the rural road network system in the study area was developed. The system can manage and view road network data efficiently, which is worth popularizing.
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