基于CBERS-04遥感影像的朗玛村地区岩土分类

Geotechnical classification based on CBERS-04 remote sensing image in Langma Village Area

为了探索国产陆地探测卫星遥感影像的岩土识别性能,基于CBERS-04遥感影像光学特性分析,应用多种传感器遥感影像进行了青藏高原朗玛村地区的岩土分类研究。对比分析了CBERS-04与Landsat-8陆地成像仪(OLI)数据岩土分类及协同岩土分类的效果,并依据1∶250 000基础地质图和野外地质调查进行了验证分析。结果证实CBERS-04相对Landsat-8OLI的遥感影像岩性分类精度略低,但仍具有较高的分类精度,辅助人工地质解译基本满足中比例尺岩土分类和地质调查图编绘的需要。2种数据源的空间分辨率和光谱分辨率较为相似,且具有互补性,其协同分类可提高岩土分类的精度。

To explore the geotechnical identification performance of remote sensing image of domestic land exploration satellite,geotechnical classification was studied by using multi-sensor remote sensing images in Langma Village Area of Tibetan Plateau,based on analysis of optical properties for CBERS-04 remote sensing image.The geotechnical classification results were compared by the different image data and the synergistic image data from CBERS-04 and Landsat-8operational land image（OLI）,and the results were verified and analyzed according to the 1∶250 000 basic geotechnical map and the field geotechnical survey in the study area.It is confirmed that the geotechnical classification accuracy of CBERS-04 is slightly lower than that of Landsat-8OLI,but that CBERS-04 still has a high classification accuracy.CBERS-04 can basically meet the needs of geotechnical classification of medium scale geotechnical survey with artifical geological interpretation.The spectral and spatial resolutions are similar and complementary to CBERS-04 and Landsat-8OLI,and the synergistic geotechnical classification can improve the accuracy.