The suitability analysis of two remote Image enhancement methods to Image classification

The remote image enhancement is to extrude special information,to enhance the image's visual effect,to make the images be distinguished easier,to withdraw the useful information form the images.This research carried on Supervised Classification for the images of haze enhancement and crisp enhancement,and compared the precision of two enhanced methods.The result showed that the supervised classification precision of image which is not enhanced is 58.41%,and Kappa value is 0.4738;for crisp enhancement,the image classification precision enhances to 62.77%,and Kappa value is 0.5227;and for haze enhancement,the image classification precision reach 89.00%,and Kappa value is 0.8625.Therefore,Haze enhancement is a suitable method for supervised classification.