| The development and utilization of mineral resources are indispensable to the social progress,it has caused serious ecological environment damage,which is a topic in the current environment construction.Based on the series of remote sensing data of Landsat,this study explores to build the efficient and reasonable process and method of land use information extraction in open-pit mining area.And analyzed the technology and process of object-oriented hierarchical classification method from Landsat series of images,and experiment through the analysis of image feature extracting and able to distinguish between open-pit mine mining land and urban construction land texture difference ratio(TDImine)and texture index(TRImine),At the same time,the spectral and spatial features were combined to successfully extract 1993 ~ 2018 in the Qianan open-pit mining area,the results show that adding texture index,the evaluation accuracy indicators have improved.Based on the field collection data and combined with the characteristics of medium-low resolution Landsat-OLI remote sensing image,the interpretation signs of mining land(tailings pond of stope transfer dump)for OLI image were constructed,and the spectral texture shape and topographic feature differences of mining land types were analyzed to provide certain reference for the identification of mining land information.This paper classifies the types of land use in Caiyuan town that a typical mining area,determines the optimal segmentation parameters of the types of land use in the mining area through multi-scale segmentation experiments,constructs the fuzzy classification rules of land use in the mining area by using the difference of object characteristics,and realizes the fine extraction of the types of land use in the mining area in phase 4 during the research period.The results show that the land area in the mining area has only increased,and most of the land area has been transformed from grassland,which is mainly reflected in the expansion of the mining scale in the direction of northeast-southwest.Figure 32,Table 26,Reference 53... |