针对矿区地裂缝信息提取问题展开研究,采用无人机影像和TM影像为数据源,通过提取研究区的纹理特征、线性特征、分形维数、NDVI值以及光谱特征,利用ERDAS软件建立知识模型,成功提取出矿区地裂缝信息分布图,并对提取结果进行精度验证,证明该方法具有较高的精度。
The research is conducted with the problem of extracting ground fissure information in mining area. The UAV and TM images are used as data sources. Through the extraction of texture feature, linear characteristics, fractal dimension, the NDVI values and spectral features, and using the ERDAS software, a knowledge model is built, and the distribution graphs about ground fissure information is successfully extracted. It proves that the method has higher precision after precision verification on the extraction results.