多维植被信息系统 multi-dimensional vegetation information systems
Enclosed the vegetation information extraction, this paper focused on the spectral characteristics of the vegetation , spectral data processing and information extraction technology .
本文围绕植被信息的提取,着重研究了植被的光谱特性和光谱数据处理技术以及与信息提取相关的光谱匹配技术。
参考来源 - 光谱数据处理及其在植被信息提取中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
介绍分析了各种植被指数，利用非线性比自动提取植被信息。
Then the paper introduces vegetation indexes and extracts automatically the vegetation information through non-linear ratio.
研究评价了适于黄土高原地区植被信息提取的最佳植被指数和方法。
The optimum vegetation index and methods for collecting vegetation information in loess plateau area were studied and appraised.
然后在植被信息类内再进行小尺度分割，利用NDVI并融入几何特征进 一步提取冬小麦种植面积及空间分布。
The first step was large-scale segmentation, in which the image was classified as vegetation and non-vegetation by NDVI. The second step was small-scale segmentation;
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