| With the rapid development of aerospace technology, electronic sensor technology and communications technology, remote sensing technology is reached a new stage. Modern remote sensing technology has great advantages at many aspects, for example, Broad coverage, fast and timely information collection, high precision data. High altitude resolution has reached nano-level, and there are about hundreds wave bands that can be observed.remote sensing images have huge Geographic data information. With the rapid development of space technology, acquisition costs of remote sensing images is lower, resolution is higher, collecting information rapid increase. Remote sensing image has become a important way to get GIS data. Road network is a important part of GIS, which has important application value in many researchs,for example, road network is applied to produce and update electronic map,to create and update spatial database,to manage urban transport,to plan urban construction,to navigate vehicles and to attack military objectives. Because of remote sensing image's advantages, high resolution remote sensing image is a well source to get road network informations.how to get road network informations from high resolution remote sensing image, the research can further promote application of remote sensing image processing technology in people's production and life.Mathematical morphology was born in 1964.Scientists from France G.Matheron and his student J.Serra co-founded it. Mathematical morphology is the establishment of a strict mathematical theory on the basis of disciplines.Its basic ideas and menthods of image processing theory and technology have had a significant impact.Mathematical morphology is considered to be a fresh technique for image analysis with strong mathematical flavor,in particular for those applications where image geometric shape and structure characteristics quantitative analysis description aspectd are relevant.It is a powerful nonlinear tool for extending by linear approach.One of the most important features of morphological transformation is that it can compele the mass complex image processing poerations by using basic shift and logic operation.That it can complete the mass complex image processing operations by using basic shift and logic operation.That is why the morphological method brings much great interest,attracts so many people to research its theory and arithmetic,and at the same time,stands as an established image analysis technique with applications in almost all science and engineering disciplines dealing with digital spatial data,which also let morphological theory and techniques ge deep into development and innovation.Accordingly,it is important and significant to study how to use this new technique to geoscience and remote sensing,and make the remote sensing technique to be more powerful. With the rapid development of space technology, high resolution remote sensing image information rapid increase.The storage space of a high resolution remote sensing image is more than 10 Gb, so the computation is huge when processing this remote sensing Image. In recent years, application of parallel computing is more and more extensive, which objective is to solve large scale and huge computation scientific computing problems in short time.So, parallel computing can be used to process image of massive data.The paper's objective is to R&D a technical method that can be used to get useful road informations from high resolution remote sensing images. Mathematical morphology theory and other digital image processing theorys are uesd in this technical method,and then,use parallel computing technology to parallel execution above technical method.there are two research focus:first, in-depth research and analysis mathematical morphology theory, discussion the theory's application in remote sensing image processing, R&D efficient method of getting useful road informations from high resolution remote sensing images;Sedcond, In-depth analysis application features of MPI(Message Passing Interface) and OPENMP(Shared Memory Parallel Programming Model), focus on achieving the application mode of MPI+OPENMP hybrid programming model, further, appling MPI+OPENMP hybrid programming model to parallel execution above technical method that is proposed to get useful road informations from high resolution remote sensing images. |
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