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Canopy-cover thematic-map generation for Military Map products using remote sensing data in inaccessible areas

机译：在无法访问的区域中使用遥感数据生成军用地图产品的机盖覆盖主题地图

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摘要

Canopy cover is one of the most important elements in concealing military structures and enemy reconnaissance. In this study, we propose an algorithm for automatic generation of density measure of percent canopy cover, which is an attribute of the digital Military Map product, using high-resolution satellite images of inaccessible areas. The thematic mapping process of canopy cover can be divided into image classification, segmentation, and texture analysis. QuickBird and SPOT-5 high-resolution images are classified using Landsat images and military maps. Then, forested areas are extracted from the classified images, and closing and opening operations are executed through morphology filtering. The extracted region is divided into unit-zone objects using a segmentation technique, and the percentage of canopy cover of each object is categorized as one of four levels (0-25, 26-50, 51-75, 76-100%). Two methods were used to establish the percentage of canopy cover for each segment: the discriminant method, using statistical analysis, and the classified canopy ratio method, which calculates the percentage of forest in the segment. The discriminant method showed 48% (QuickBird) and 61% (SPOT-5) accuracy and classified canopy ratio method showed 71% (QuickBird) and 87% (SPOT-5) accuracy.
机译：遮篷是掩盖军事结构和敌人侦察的最重要因素之一。在这项研究中，我们提出了一种算法，该算法使用无法访问的区域的高分辨率卫星图像自动生成冠层覆盖百分率的密度测量值，该算法是数字军事地图产品的属性。冠层覆盖的主题映射过程可以分为图像分类，分割和纹理分析。使用Landsat图像和军事地图对QuickBird和SPOT-5高分辨率图像进行分类。然后，从分类图像中提取林区，并通过形态过滤执行关闭和打开操作。使用分割技术将提取的区域划分为单位区域对象，并将每个对象的树冠覆盖百分比分类为四个级别之一（0-25、26-50、51-75、76-100％）。两种方法用于确定每个路段的冠层覆盖率：使用统计分析的判别法和用于计算路段中森林百分比的分类冠层比率法。判别方法显示48％（QuickBird）和61％（SPOT-5）的准确性，分类冠层比率方法显示71％（QuickBird）和87％（SPOT-5）的准确性。

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  • 来源
    《Landscape and ecological engineering》 |2011年第2期|p.263-274|共12页
  • 作者

    Anjin Chang; Yangdam Eo; Sunwoong Kim; Yongmin Kim; Yongil Kim;

  • 作者单位

    Department of Civil and Environmental Engineering, Seoul National University, Daehak-dong, Gwanak-gu, Seoul 151-742, South Korea;

    Department of Advanced Technology Fusion, Konkuk University, Hwayang-dong, Gwangjin-gu, Seoul 143-701, South Korea;

    Department of Advanced Technology Fusion, Konkuk University, Hwayang-dong, Gwangjin-gu, Seoul 143-701, South Korea;

    Department of Civil and Environmental Engineering, Seoul National University, Daehak-dong, Gwanak-gu, Seoul 151-742, South Korea;

    Department of Civil and Environmental Engineering, Seoul National University, Daehak-dong, Gwanak-gu, Seoul 151-742, South Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    canopy cover; thematic map; satellite image; classification; segmentation;

    机译：遮篷专题图;卫星影像;分类;分割;

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