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地形图要素辅助下的影像面状地物提取
引用本文:姜春雪,李光,王立伟,丁旭. 地形图要素辅助下的影像面状地物提取[J]. 测绘科学, 2017, 42(10). DOI: 10.16251/j.cnki.1009-2307.2017.10.018
作者姓名:姜春雪  李光  王立伟  丁旭
作者单位:1. 信息工程大学地理空间信息学院,郑州,450001;2. 天津市测绘院,天津,300381
摘    要:针对遥感影像与地形图变化检测中影像面状地物的提取问题,该文提出了一种地形图要素辅助下的影像面状地物提取方法。该方法首先利用配准后落在影像面状地物内的地形图面状要素中心进行区域生长,然后以人工选取的各类地物的初始样本和上述区域生长出影像上的各类地物作为训练样区进行监督分类,最终实现影像面状地物提取。实验结果表明,该方法能够有效地提取影像面状地物,并且自动化程度较高。

关 键 词:遥感影像  地形图  面状地物提取  区域生长  监督分类

Polygon feature extraction of image aided by topographic map elements
JIANG Chunxue,LI Guang,WANG Liwei,DING Xu. Polygon feature extraction of image aided by topographic map elements[J]. Science of Surveying and Mapping, 2017, 42(10). DOI: 10.16251/j.cnki.1009-2307.2017.10.018
Authors:JIANG Chunxue  LI Guang  WANG Liwei  DING Xu
Abstract:Aiming at polygon features extraction of image in change detection for remote sensing image with the topographic map,a polygon feature extraction method of image aided by topographic map elements was proposed.Firstly,the center of topographic map elements that fell on the polygon features of image after registration was used for region growing.Secondly,the initial samples of artificial selection and various features of region growing were used as the training sample for supervised classification.Finally,the polygon features of image were extracted.Experiments results showed that the proposed method could effectively extract feature extraction of image with higher degree of automation.
Keywords:remote sensing image  topographic map  polygon feature extraction  region growing  supervised classification
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