...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Wildland Fire >A semi-automated object-oriented model for burned area mapping in the Mediterranean region using Landsat-TM imagery.
【24h】

A semi-automated object-oriented model for burned area mapping in the Mediterranean region using Landsat-TM imagery.

机译：使用Landsat-TM影像对地中海地区的烧伤区域进行映射的半自动面向对象模型。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Pixel-based classification methods that make use of the spectral information derived from satellite images have been repeatedly reported to create confusion between burned areas and non-vegetation categories, especially water bodies and shaded areas. As a result of the aforementioned, these methods cannot be used on an operational basis for mapping burned areas using satellite images. On the other hand, object-based image classification allows the integration of a broad spectrum of different object features, such as spectral values, shape and texture. Sophisticated classification, incorporating contextual and semantic information, can be performed by using not only image object attributes, but also the relationship between networked image objects. In this study, the synergy of all these features allowed us to address image analysis tasks that, up until now, have not been possible. The aim of this work was to develop an object-based classification model for burned area mapping in the Mediterranean using Landsat-TM imagery. The object-oriented model developed to map a burned area on the Greek island of Thasos was then used to map other burned areas in the Mediterranean region after the Landsat-TM images had been radiometrically, geometrically and topographically corrected. The results of the research showed that the developed object-oriented model was transferable and that it could be effectively used as an operative tool for identifying and mapping the three different burned areas (~98% overall accuracy)..
机译：反复报道了利用基于卫星图像的光谱信息的基于像素的分类方法，该方法在燃烧区域和非植被类别（尤其是水体和阴影区域）之间造成了混淆。由于上述原因，这些方法在操作上不能用于使用卫星图像绘制燃烧区域的图。另一方面，基于对象的图像分类可集成各种不同对象特征的光谱，例如光谱值，形状和纹理。不仅可以使用图像对象属性，还可以使用网络图像对象之间的关系来执行结合了上下文和语义信息的复杂分类。在这项研究中，所有这些功能的协同作用使我们能够解决迄今为止尚未实现的图像分析任务。这项工作的目的是使用Landsat-TM影像开发一个基于对象的分类模型，用于地中海地区的烧伤地区制图。在对Landsat-TM影像进行辐射，几何和地形校正后，开发了用于绘制希腊Thasos岛燃烧区域地图的面向对象模型，然后绘制了地中海地区其他燃烧区域的地图。研究结果表明，所开发的面向对象模型是可移植的，并且可以有效地用作识别和绘制三个不同燃烧区域的可操作工具（总精度约为98％）。

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