基于改进小波变换的农村集体土地测绘图像高分辨率自适应重建方法
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引用本文:梁科.基于改进小波变换的农村集体土地测绘图像高分辨率自适应重建方法[J].计算技术与自动化,2023,(3):107-112
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作者单位
梁科 (娄底市地理信息中心湖南 娄底 417000) 
中文摘要:为提高农村集体土地测绘图像的分辨率,改进在重建图像的过程中发生的灰度偏移的情况,研究了基于改进小波变换的农村集体土地测绘图像高分辨率自适应重建方法。采集农村集体土地测绘图像,对差值处理后的测绘图像进行Haar小波变换,高分辨率重建测绘图像,校正图像灰度化偏移的同时保证重建测绘图像的质量;采用基于贝叶斯估计的自适应小波去噪方法,去除重建测绘图像噪声,使重建的高分辨率测绘图像更清晰。实验结果表明:PSNR值接近30dm,SSIM值接近1;不同噪声方差下,PSNR值最高。提高了重建测绘图像的清晰度和分辨率,得到高分辨率的农村集体土地测绘图像。
中文关键词:小波变换  农村集体土地  测绘图像  高分辨率  自适应重建  贝叶斯估计
 
High Resolution Adaptive Reconstruction Method of Rural Collective Land Mapping Image Based on Improved Wavelet Transform
Abstract:In order to improve the resolution of rural collective land surveying and mapping images and improve the gray shift in the process of image reconstruction, a high-resolution adaptive reconstruction method of rural collective land surveying and mapping images based on improved wavelet transform is studied. Collect the mapping image of rural collective land, carry out Haar wavelet transform on the mapping image after difference processing, reconstruct the mapping image with high resolution, correct the grayscale shift of the image, and ensure the quality of the reconstructed mapping image; The adaptive wavelet denoising method based on Bayesian estimation is adopted to remove the noise of the reconstructed mapping image, making the reconstructed high-resolution mapping image clearer. The experimental results show that the PSNR value is close to 30dm and the SSIM value is close to 1; the PSNR value is the highest under different noise variances. The clarity and resolution of the reconstructed mapping image are improved, and a high-resolution rural collective land mapping image is obtained.
keywords:wavelet transform  rural collective land  mapping images  high resolution  adaptive reconstruction  Bayesian estimation
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