Base on the characteristics of bridge in high resolution SAR imagery

we present a new bridge recognition method

it is mainly composed of image segmenting

interesting area locating and bridge recognition.By the histogram equalization

we make it more convenient to determine the segmentation threshold;by the image data sampling

we enhance the efficiency;by the bridge characteristics extraction

we make the result more creditable.In primary processing

we get the interesting areas where bridge（s） are obtained by fast arithmetic.In the subsequent processing

guided with the bridge’s character

we identify the bridge in the interesting areas.In the processing of automatic target recognition in high resolution SAR imagery

accuracy is needed on the one hand

and required is we needed on the other hand.So in this paper

the automatic bridge recognition algorithm focuses on not only the veracity

but also the rapidity.Veracity is ensured by the summarized characters of bridge in high resolution SAR imagery;rapidity is ensured by the methods of data sampling and false interesting areas wiping off.At last

in the recognition part

efficacious criterions are used to distinguish real target.Result shows the ability of this approach in high resolution SAR imagery.