Research And Implementation Of Remote Sensing Image Dodging Algorithm Based On IDL

In the process of acquiring or splicing the remote sensing image,because of the influence of the sensor's performance,illumination condition,object category,shooting angle and different acquisition time,there will be uneven distribution of brightness,hue and contrast,which is called non-uniform illumination,which greatly reduces the quality of remote sensing image.It increases the difficulty of image interpretation and information extraction.The uniform light algorithm is the main method to solve this kind of problem,this article takes the research of the Remote sensing uniform light method as the goal,carries on the analysis study to several important remote sensing smoothing algorithms,the main research contents are as follows:(1)Analysis and comparison of several existing algorithms for the uniform light of remote sensing images.This paper sums up the characteristics of the uniform light of remote sensing image,including mask algorithm,homomorphic filtering algorithm,Retinex algorithm and Wallis filtering algorithm,compares the different types of non-uniform remote sensing images to compare the results of the existing algorithms,and sums up the advantages and adaptability of the existing uniform light algorithm.(2)Analyzing several improved algorithms based on mask algorithm and Retinex algorithm,the experiment shows that the gradient stretching algorithm based on mask and the Multi-scale Retinex algorithm based on mean and variance can achieve better uniform light effect,but there will be fuzzy or color deviation,to this end,a regional 2%linear stretching algorithm is proposed to maintain and enhance the original image color has a greater advantage.(3)According to the uniform light algorithm used in the experiment,it is realized by IDL programming language and constructs the interface to form the system.