The Mobile target's detection and analysis from SAR(synthetic aperture radar) image is a key step of SAR ATR(automatic target recognition).An approach of the mobile target's detection and analysis from SAR image is proposed in this paper.After pre-processing of SAR image

Constant false alarm ratio(CFAR) algorithm based on the hypothesis that the intensity distribution of the clutter is exponential and morphological operation are applied to original SAR scene to get region-of-interest(ROIs)

the CFAR detector is a rapid algorithm for detecting targets in clutter and the morphological operation can eliminate false alarms.Then the feature vector consist of 8 features for each target area is extracted to describe target in detail.Features are length

width

area

the position of centroid

azimuth

fractal dimension

rotational inertia and Mean bright.The experimental results show that this algorithm is fast in computing speed

and can get lots of useful information from target areas.Moreover

this algorithm has definite currency.