基于分数阶方法的卫星图像边缘检测

Shivangi Godbole, G. Phadke
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引用次数: 0

摘要

目的是针对不同类别的卫星图像,得到一种有针对性的卫星图像边缘检测算法。数据集取自印度计量部门和互联网。卫星图像边缘检测方法的性能算法是峰值信噪比(PSNR)、均方误差(MSE)和经过时间,以及良好的人类视觉理解能力。从定量和定性两方面分析,分数阶方法、canny算子和拉普拉斯高斯算子是卫星图像边缘检测的最佳方法。此外,用于验证目的的各种实时数据也显示出相似的结果。所有的算法都需要相同的运行时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Satellite Image Edge Detection using Fractional order method
The aim is to obtain a pertinent satellite image edge detection algorithm with various categories of Satellite Images. The data set is taken from the metrological department of India and Internet. The performance algorithms for satellite image edge detection methods are Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE),and elapsed time, as well as good human visual understanding.Quantitavely and qualitatively by both sides,fractional order method,canny operator and Laplacian Gaussian operator was found to be the best satellite image edge detection method. Also, The various real-time data which was used for verification purpose showed similar results. All of the algorithms required the same elapsed time.
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