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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 the extraction of image surface features in remote sensing image and topographic map change detection, this paper presents a method of image surface feature extraction with the aid of topographic map elements. Firstly, the method uses the center of the topographic features in the topographic image after registration to grow the area. Then, the initial samples of all kinds of ground objects selected by the artificial and the above areas are used to grow various kinds of ground objects As a training area for surveillance classification, and ultimately achieve the image surface feature extraction. The experimental results show that this method can effectively extract the image surface features and has a high degree of automation.