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作 者:张维[1,2] 陈报章[1,2] 赵亮[3] ZHANG Wei;CHEN Bao-zhang;ZHAO Liang(School of Environment Science and Spatial Informatics,China University of Mining and Technology,Xuzhou Jiangsu 221116,China;Institute of Geographic Science and Natural Resource Research,C A S,Beijing 100101,China;School of Mechanics&Civil Engineering,China University of Mining and Technology,Xuzhou Jiangsu 221116,China)
机构地区:[1]中国矿业大学环境与测绘学院,江苏徐州221116 [2]中国科学院地理科学与资源研究所,北京100101 [3]中国矿业大学力学与土木工程学院,江苏徐州221116
出 处:《计算机仿真》2020年第4期424-427,450,共5页Computer Simulation
基 金:2017年江苏省高等教育教改研究立项课题(2017JSJG284);2017年度江苏省建设系统科技项目(2017ZD222);江苏建筑节能与建造技术协同创新中心开放基金指导项目(SJXTZ1603)。
摘 要:针对传统的图像坐标位置测量方法存在测量误差较大、测量时间较长等问题,提出基于脊波变换的可视化遥感图像坐标位置距离远程测量方法。引入小波系数变换算法对含噪的可视化遥感图像进行计算,获取相应的小波系数,构建多元统计模型,利用最小二乘法对模型参数进行求解,获取噪声图像与其对应的小波系数估计值,将估计值进行小波重构,得到的估计信号视为去噪后的遥感图像。在去噪后的图像待测量位置描绘一条直线,对直线上的灰度值进行脊波变换,通过变换后的脊波系数确定可视化遥感图像的坐标位置,计算直线两端坐标点的距离,实现可视化遥感图像坐标位置距离测量。实验结果表明,所提方法有效降低了测量误差,减少了测量时间。Traditional method to measure the image coordinate position often leads to large measurement error and long measurement time. Therefore, a remote measurement method for coordinate position distance of visual remote sensing image based on ridgelet transform was proposed. The wavelet transform algorithm was introduced to calculate the visual remote sensing image with noise, so as to obtain the corresponding wavelet coefficients. And then, the multivariate statistical model was built. Meanwhile, least squares method was used to solve the model parameters and obtain the wavelet coefficient estimation value corresponding to the noise image. The wavelet reconstruction was performed on the estimation value, so that the estimation signal was regarded as the denoised remote sensing image. A straight line was described on the position of denoised image to be measured, and the ridgelet transformation was performed on the grayscale value on straight line. After that, the coordinate position of visual remote sensing image was determined through the transformed ridgelet coefficients, and the distance between coordinate points on the straight line was calculated. Finally, the measurement of coordinate position distance of visual remote sensing image was achieved. Simulation results show that the proposed method effectively reduces the measurement error and themeasurement time.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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