...
首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Dark Channel Prior-Based Altitude Extraction Method for a Single Mountain Remote Sensing Image
【24h】

Dark Channel Prior-Based Altitude Extraction Method for a Single Mountain Remote Sensing Image

机译:单山遥感影像暗通道先验海拔提取方法

获取原文
获取原文并翻译 | 示例
           

摘要

The altitude information of single remote sensing image may aid in detecting natural disasters such as landslides or mud-rock flow. Accordingly, in this letter, an approach based on dark channel prior is proposed for the altitude extraction of single remote sensing image, and it also overcomes the effect of mountain shadow. We first detect the mountain shadows based on machine learning, and then adjust the brightness of each shadow with an adaptive adjustment parameter. Next, we estimate the altitude information based on dark channel prior, including atmospheric light calculation and soft matting. The experimental results with real mountain remote sensing images demonstrate that the proposed algorithm can obtain the accurate relative altitude information, which is effective for the extraction of the relative altitude of single mountain remote sensing image with shadows.
机译:单个遥感图像的高度信息可以帮助检测自然灾害,例如滑坡或泥石流。因此,在本文中,提出了一种基于暗通道先验的方法来提取单个遥感图像的高度,并且还克服了山影的影响。我们首先根据机器学习检测山阴影,然后使用自适应调整参数调整每个阴影的亮度。接下来,我们基于暗通道先验估计高度信息,包括大气光计算和软消光。真实山区遥感影像的实验结果表明,该算法能够获得准确的相对海拔信息,对于提取带有阴影的单一山区遥感影像的相对海拔非常有效。

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