In response to the problems in image dehazing such as inaccurate scene depth and atmospheric light estimation,which lead to the degradation of image quality acquired by imaging devices for military surveillance,target detection,navigation,unmanned vehicles and other systems,a dehazing algorithm combining linear scene depth estimation and adaptive hazy concentration estimation is proposed.First,according to the relationship between scene depth and brightness component and saturation, a linear model is established to estimate the scene depth by using double filtering to optimize the high brightness region of both,combined with linear transformation.Then,the texture features are extracted to construct a hazy concentration model to obtain the adaptive scattering coefficient,the transmittance is obtained through the obtained scene depth and adaptive scattering coefficient .Finally,two different atmospheric light estimation methods are used according to the verdict on whether the hazy image contains sky regions.The experimental results are analyzed qualitatively and quantitatively with different dehazing algorithms,the proposed method has good effectiveness in preserving depth edge,color quality and detail, and the image recovery quality is relatively good.