文章基本信息

标题：Improve Method Using Spatial Fast Filters and GPU to Detection of Parcels of Land in Satellite Images for Cadaster Purposes
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作者：Luis Cadena ; Franklin Cadena ; Alexander Legalov 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2231&2232
页码：453-458
出版社：Newswood and International Association of Engineers
摘要：Nowadays, remotely sensed images are used for various purposes in different applications. One of them is the cadastral application using high resolution satellite imagery. The edge detection has an important role in image processing, especially in the detection and the extraction physical features, those which are useful to their enforcement in the analysis of cadasters. An improve methodology is shown for detection of parcels of land in satellite images using GPU and fast filter for improve time process to reduce the noise, dynamic histogram equalization instead classic histogram equalization and Canny edge detection which is the best of others as Sobel, Prewitt, etc, for accelerated time process we used parallel Matlab GPU. Index Terms— satellite image, digital image, Canny edge detector, fast filters, dynamic histogram equalization, SSIM measure, parallel programming, GPU.
关键词：satellite image; digital image; Canny edge detector; fast filters; dynamic histogram equalization; SSIM measure; parallel programming; GPU;