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- W2361535241 abstract "Currently,synthetic aperture radar(SAR) is a hot research topic in the field of Microwave Remote Sensing.It possesses many incomparable advantages such as the capability to work at all time and under all weather,high spatial resolution and strong penetrability through the ground surface and so on.Therefore,it is significant to extract information from SAR imagery.It can not only compensate the deficiency in optical imagery,but also help constructing the spatial database.Road information is a kind of most important spatial basic information,which has a lot of significant applications,including military defense,map matching,database updating etc.Ratio of average(RoA) algorithm is a classical method for road extraction from SAR imagery developed in recent 20 years,however,because of SAR speckle noise and other factors,it still has some disadvantages.For example :low locality accuracy,thickened edges,higher false alarming rate and non-continuous road segments.This paper is mainly divided into two sections to resolve these problems.In the first section,it introduces a local ratio detector for road extraction.But it has defects on the accuracy of position and widening road width.In order to tacle these problems,a pruning window is added into the process,which is used to remove effects of rivers and trees.Therefore,a thinned and more accurate road map can be gained.Based on the above method,in the second section,we firstly describe the road linking method using chain codes,define the chain code energy network and import the prior knowledge into processing course.Then,we analyze linking probability of line element in simulated road map and propose an approach to optimize the chain codes.Because the process is programmed with classed computation,and need no search for all line segments so that it improves efficiency highly.At last,this method is applied to extracting the road network from real SAR image and its validity has been proved." @default.
- W2361535241 created "2016-06-24" @default.
- W2361535241 creator A5077369098 @default.
- W2361535241 date "2008-01-01" @default.
- W2361535241 modified "2023-09-23" @default.
- W2361535241 title "Road Network Extraction of Urban Areas in SAR Image Based on Optimization of Chain Code" @default.
- W2361535241 hasPublicationYear "2008" @default.
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