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。
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.
出处
《测绘科学》
CSCD
北大核心
2017年第10期118-125,共8页
Science of Surveying and Mapping
关键词
遥感影像
地形图
面状地物提取
区域生长
监督分类
remote sensing image
topographic map
polygon feature extraction
region growing
supervised classification