利用Hough变换和Web时间序列服务检测Matopiba的中心支点

M. L. Rodrigues, T. Körting, G. R. de Queiroz, C. P. Sales, L. A. R. D. Silva
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引用次数: 3

摘要

在过去的几十年里,由于农业边界的扩张,巴西塞拉多生物群系发生了重大变化。该地区被称为MATOPIBA,是maranh州、Tocantins州、Piauí州和Bahia州的首字母缩略词,可以被认为对农业扩张非常有吸引力。塞拉多在MATOPIBA地区占主导地位(面积的91%),东北和东部也分别有亚马孙和Caatinga生物群系的小区域。在这项工作中,我们将介绍一项利用Landsat-8卫星遥感图像识别MATOPIBA地区中心支点灌溉系统的研究。该方法基于Canny、圆形霍夫变换(CHT)等鲁棒边缘检测技术,并通过中分辨率成像光谱仪(MODIS)产品MOD13Q1提取时间序列,该产品具有两个植被指数NDVI和EVI。这些时间序列将用于过滤检测到的圆,寻求消除不对应于中心轴的圆。我们的方法检测了巴西国家水务局(ANA)绘制的80%的中心支点,这些支点被用作知识库。检出率较高的州分别为Piauí和Bahia,准确率分别为90%和85%,maranh为57%,Tocantins为41%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detecting Center Pivots In Matopiba Using Hough Transform And Web Time Series Service
In the last decades, the Brazilian Cerrado biome has undergone major transformations due to the expansion of the agricultural frontier. The region called MATOPIBA acronym for states Maranhão, Tocantins, Piauí, and Bahia can be considered very attractive for agricultural expansion. The Cerrado predominates in the MATOPIBA region (91% of the area), also having small areas of the Amazon and Caatinga biomes to the northeast and east, respectively. In this work, we will present a study to identify center pivot irrigation systems in the MATOPIBA region using remote sensing images from Landsat-8 satellite. The methodology is based on the use of robust edge detection techniques such as Canny, Circular Hough Transform (CHT) and time series extraction through the Moderate Resolution Imaging Spectroradiometer (MODIS) product MOD13Q1 which has two vegetation indices NDVI and EVI. These time series will be used to filter the detected circles, seeking to eliminate the circles that do not correspond to center pivots. Our approach detected 80% of the center pivots mapped by the Brazilian National Water Agency (ANA) used as a knowledge base. The states with better detection were Piauí and Bahia that showed the accuracy of 90% and 85% respectively, Maranhão obtained 57% and Tocantins 41%.
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