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首页> 外文会议>2011 International Conference on Control, Automation and Systems Engineering (CASE) >Based on TM Image Extraction Method of Pinus sylvestris var. mongolica Forests Indexes in Honghuaerji
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Based on TM Image Extraction Method of Pinus sylvestris var. mongolica Forests Indexes in Honghuaerji

机译：基于TM的樟子松图像提取方法。洪花尔基的蒙古森林指数

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摘要

MONGOLICA forests is composed of HONGHUA-ERJI one of the main vegetation, MONGOLICA in the region after long-term impact of natural succession and human activities, pine forests in the formation of a unique, extremely valuable research and ecological value. MONGOLICA forests in the region has been listed as a national nature reserve and seed base. Applications in remote sensing, vegetation indices have been widely used for qualitative and quantitative evaluation of vegetation cover and its growth activity. This paper remote sensing images, the use of ERDAS software to extract pine forests in vegetation indices, including the following steps: data preprocessing and image cropping; selection and extraction of vegetation index; non-supervisory classification and category were merging. Finally, after a comprehensive solution into plans found that the use of vegetation index image extraction TM successful, the plan can be good to reflect MONGOLICA forests and other vegetation cover conditions for the development and pine forests in the area provide a good basis for protection.
机译：蒙古森林由宏华 - 艾吉组成的主要植被之一，在该地区的蒙古蒙古经过自然继承和人类活动的长期影响，松树林在形成独特，极为宝贵的研究和生态价值。该地区蒙古森林已被列为国家自然保护区和种子基地。在遥感中的应用，植被指数已被广泛用于植被覆盖的定性和定量评估及其生长活动。本文遥感图像，使用ERDAS软件在植被指数中提取松树林，包括以下步骤：数据预处理和图像裁剪;植被指数的选择和提取;非监管分类和类别正在合并。最后，经过全面的解决方案，发现利用植被指数图像提取TM成功，该计划可以良好地反映蒙古森林和其他植被覆盖条件的发展和松树林在该地区的发展提供了良好的保护基础。

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