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以法国Pléiades为数据源,对甘肃省酒泉市肃北县金庙沟调查区内金庙沟煤矿进行矿山环境信息的提取实验研究。在经过预处理的图像上进行了光谱采样,分析其光谱特征,根据不同地物的光谱响应,建立合适的波段计算公式,用密度分割的方式,辅以目视解译,进行识别提取。实地查证结果表明,利用计算机提取矿山占地信息,可有效降低室内解译工作量,且能弥补目视解译的不足,对矿山占地信息提取具有一定的参考价值。
Taking the Pléiades of France as the data source, an experimental study on extracting environmental information from the Jinmiao Gully Mine in the Jinmiao Gully survey area, Subei County, Jiuquan City, Gansu Province was conducted. Spectral sampling was carried out on the preprocessed images to analyze their spectral characteristics. Based on the spectral responses of different ground objects, an appropriate band calculation formula was established. With the aid of density segmentation, assisted by visual interpretation, the recognition extraction was carried out. The field verification results show that using computer to extract mine site information can effectively reduce the workload of indoor interpretation, and can make up for the lack of visual interpretation, which has certain reference value for the information extraction of mine site.