Realization Of Shadow Detection And Removal Algorithm In High Spatial Resolution Remote Sensing Image

The shadow zone on the remote image is caused by the lack of light energy due to the cover of the earth.n the process of controlling rural land in the left county,it has been found that there are lots of high-res images of aerial photography that are in the shadow zone of the mountains or the trees,and the areas of the shadow and the boundary of the power of the mainland.In view of the shadow region of high resolution true color aerial remote sensing image,the IHS paper puts forward the algorithm which is suitable for the shadow detection and removal of the existing shadow detection and removal algorithm by comparing the existing shadow detection and removal algorithm,and has better shadow detection and removal effect.And based on that,it's based on the software that created the shadow recognition and the removal of the software on MATLAB.The results of the study of features of correct recognition,earthy land ownership boundaries accurately defined and vegetation research has the vital significance.Specific results are as follows:(1)In view of that shadow detection algorithm based on IHS color space transform,the algorithm based on the shadow detection algorithm based on black body radiation,the algorithm based on HIS togram,the principle and the advantage and disadvantage of the algorithm based on the detection of the C1C2C3,the algorithm is proposed in the IHS paper,which is based on the algorithm of the shadow detection of the color model of the hsv-clc2c3,which converts the high resolution remote sensing image into the color space,and realizes the detection of the shadow by the calculation of the ratio of the components and the determination of the threshold value,and finally by the mathematical form of the closed operation.The detection of the shadow is finally achieved by a closed operation of mathematical morphology.TIHS algorithm and the detection algorithm based on HIS togram of experimental verification test results,the proposed algorithm.It is prove that that accuracy index and precision index is higher than the HIS togram detect algorithm,and its accuracy index and precision index are around 90%,so it can prove that the detection precision of the h2v-c1c2c3 color model based on hsv-c2c3 is relatively high.(2)In the IHS paper,a shadow removal algorithm based on universal grayscale world color constant is proposed in the IHS paper through the comparison of the principle and advantages and disadvantages of Wallis shadow removal algorithm,Retinex shadow removal algorithm and HIS togram equalization shadow removal algorithm.TIHS algorithm applies the mean value of high-resolution remote sensing image components to the same grayscale value,and applies visual color constant principle to the shadow region and non-shaded region,respectively,to perform convolution operation,and the gain of the shadow region image is calculated to remove the shadow region.The algorithm,the algorithm,the algorithm,the algorithm,the algorithm,the algorithm,the algorithm,the algorithm,which is the algorithm,which is the algorithm,which is the method of the algorithm,which is obviously better than the idea of the algorithm,and the standard deviation of the algorithm,and the algorithm,which is better than the fact that the algorithm and the map equilibrium,and the reduction of the mean and the standard deviation of the algorithm,and the reduction of the mean and the standard deviation,and the increase in entropy,and the reduction in color contrast,and the fact that the increase in entropy,is a good idea,and it can prove that the IHS is based on the fact that the universal grey is based on the color of the gray world and that the algorithm has a better recovery effect.(3)In the IHS paper,a remote sensing image shadow detection and removal application software is designed based on the actual needs of the shadow removal in remote sensing image used in rural land confirmation.The software includes four modules,namely,color space conversion module,shadow detection module,shadow removal module and eigenvalue statistical module.Two shadow detection algorithms and three shadow removal algorithms are integrated.And compiled on the MATLAB platform development,achieved in the IHS paper,the function of the remote sensing image shadow detection and removal,reach the purpose of the shadow information in remote sensing image compensation.