首页> 外文会议>2018 International Conference on Design Innovations for 3Cs Compute Communicate Control >Buildings Detection from Very High Resolution Satellite Images Using Segmentation and Morphological Operations
【24h】

Buildings Detection from Very High Resolution Satellite Images Using Segmentation and Morphological Operations

机译:使用分割和形态学运算从超高分辨率卫星图像中检测建筑物

获取原文
获取原文并翻译 | 示例

摘要

Extraction of high0resolution satellite image buildings is difficult task for researchers in remote sensing area. In the proposed work Region Growing Segmentation, morphological operations and perceptual0grouping techniques are developed and to detect the buildings in high spatial0resolution images. The necessary algorithm for the implementation of0Region growing segmentation is developed using MATLAB0software and its performance is tested by inputting several images. It is founded that0the proposed algorithm successfully detect the rectangular building footprints. The efficacy of the designed algorithm is tested by0repeating the experiment multiple times successfully.
机译:高分辨率卫星图像建筑物的提取对于遥感领域的研究人员而言是一项艰巨的任务。在拟议的工作区域增长分割中,开发了形态学运算和感知分组技术,以检测高空间分辨率图像中的建筑物。使用MATLAB0软件开发了实现0区域增长分割的必要算法,并通过输入多个图像来测试其性能。结果表明,该算法成功地检测出矩形建筑物的占地面积。通过多次重复实验,验证了算法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号