High Spatial Resolution Remote Sensing Image Enhancement Algorithm In Frequency Domain Filtering And Its Application

As the inherent characteristics of remote sensing and imaging conditions of different external environment, making some images with poor contrast, fuzzy edges and big noise disadvantage.In the survey of land use projects, in order to improve the inside and outside job effectivel and ensure quality resultsy, need to enhancement image processing for remote sensing image's noise or poor visual images to remove noise,image smoothing , increase contrast and improve the visual effects purposes.In this paper combine with the investigation of land use projects, use county in Gansu Province as the object of remote sensing images, in the base of analysis the image spatial domain transform and frequency domain transform algorithm, through programming achieved remote sensing image in spatial domain and frequency domain of several common enhancement algorithm, application,and comparison. This mainly includes the following:(1)Spatial domain image processing algorithms and its applicationApplication point operations, geometry operations to achieve enhanced image processing.(2)Image frequency domain transform algorithm descriptionFourier Transform theory is the basis of frequency filter enhancement algorithm and theory for remote sensing image, transform the image from space domain into the frequency domain, is conducive to resolving the problem can not be processed in space domain.(3)Application of image enhancement algorithmDiscussed the spatial domain median filtering's image enhancement algorithm and frequency domain's image enhancement algorithm,and analyse spatial domain median filtering's image enhancement algorithm.(4)Frequency domain image enhancement algorithms and its application Through the program extract the frequency information of image,access to effective frequency range,this basis set the cutoff frequency parameters,and select a different filter function, to analyse the image in low-pass filtering and high-pass filtering,realize the remote sensing images in the frequency domain's image enhancement algorithm and its application.Introduced improved homomorphic filtering in the frequency domain filtering,and recommendations on using filter function with the parameters of state to a high-pass filter and low-pass filter's criteria.Compared with the improved homomorphic filtering and the basic frequency domain filtering after the effect of image enhancement,consider improved homomorphic filtering as an ideal frequency domain filtering,to improve the work of land survey efficiency and quality is of great significance.By frequency domain filtering processing of remote sensing image enhancement algorithm was repeated in the actual check, the frequency domain image enhancement method has important theoretical and practical value for reference. Therefore, through the theoretical analysis and experimental verification obtained, high spatial resolution remote sensing image enhancement algorithm in frequency domain filtering can make a good function in the further to identify the surface features, judge and vector, the algorithm is simple and is also beneficial to realize,in accordance with the trend of modern digital image processing.