基于高精度dem的野外信息提取与潜力分析

Zaigui Yang, Min Lu, Qing Deng, Jian Jia, Huang Huang
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引用次数: 0

摘要

随着高分辨率遥感卫星的发展,基于高分辨率遥感影像的野外信息提取技术得到了广泛的应用。然而,这些技术主要通过光谱信息、纹理信息和表面特征信息来收集信息。提出了一种基于剖面的油田信息提取方法。该方法以高精度DEM数据为支撑,从离散高程出发,从多个方向对剖面进行分析。首先将剖面上的直线标记为农田,将其他直线标记为非农田,然后综合考虑农田的分类,从而确定测试区内的农田。试验证明,随着DEM数据精度的提高,该方法是可行的,具有广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The information extraction and potential analysis of field based on high-precision DEMs
With the development of high-resolution remote sensing satellites, the techniques based on high-resolution remote images are widely applied in the extraction of field information. However, these techniques collect information mainly through information of spectrum, texture, and surface features. This paper put forward a field information extraction method based on profiles. Supported by high-precision DEM data, this method starts with discrete elevations and conducts analysis on profiles in many directions. It finds out the farmland in a testing area by firstly marking the straight line on a profile as farmland and others as non-farmland and then taking the classifications of fields into overall consideration. It has been proven in the test that, with the increase of precision of DEM data, the method is both feasible and promising.
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