Analysis of pre- and post-mine closure surface deformations in western xuzhou coalfield from 2006 to 2018

Economic development and population expansion in mining cities have led to a growing scarcity of land for construction and thus the closed mines land reuse is extremely urgent. Exploration of the law of surface deformation in closed mine is therefore significance for the development of mining cities. In this study, we first used the StaMSBAS technique to reveal surface deformation of western Xuzhou coalfield from 16/6/2006 to 19/8/2018, based on 77 SAR images. The result of ALOS-1 monitoring was validated by levelling data, and it was shown that the root-mean-square-error and standard deviation were 31.8 mm and 28.9 mm, respectively. The law of surface deformation that occurred before and after mine closure was finally analysed. It was found that: 1) After mine closure, the surface deformation of Jiahe mine experienced the process of subsidence, relative stability and then uplift, and the surface deformations of Zhangxiaolou and Pangzhuang mines changed from slow subsidence to accelerated subsidence. 2) Where the maximum pre-closure subsidence occurred at Jiahe mine, the residual subsidence and uplift that occurred after mine closure was also significant, the correlation coefficients were 0.62 and 0.65, respectively. When the mines were active, surface subsidence of Jiahe and Zhangxiaolou mines was positively correlated with the strike mining degree, with correlation coefficients of 0.90 and 0.83, respectively. After Jiahe mine closure, the residual subsidence was positively correlated with the strike mining degree, and the surface uplift was positively correlated with the depth-to-thickness ratio, the correlation coefficients were both 0.70.Peer ReviewedPostprint (published version

SAR Images Unsupervised Change Detection Based on Combination of Texture Feature Vector with Maximum Entropy Principle

Generally, spatial-contextual information would be used in change detection because there is significant speckle noise in synthetic aperture radar(SAR) images. In this paper, using the rich texture information of SAR images, an unsupervised change detection approach to high-resolution SAR images based on texture feature vector and maximum entropy principle is proposed. The difference image is generated by using the 32-dimensional texture feature vector of gray-level co-occurrence matrix(GLCM). And the automatic threshold is obtained by maximum entropy principle. In this method, the appropriate window size to change detection is 11×11 according to the regression analysis of window size and precision index. The experimental results show that the proposed approach is better could both reduce the influence of speckle noise and improve the detection accuracy of high-resolution SAR image effectively; and it is better than Markov random field

Monitoring and Analysis of Surface Deformation in Mining Area Based on InSAR and GRACE

To determine the relationship between underground mining, groundwater storage change, and surface deformation, we first used two sets of ENVISAT data and one set of Sentinel-1A data to obtain surface deformation in eastern Xuzhou coalfield based on the temporarily coherent point interferometric synthetic aperture radar (TCPInSAR) technique. By comparison with underground mining activities, it indicated that the surface subsidence is mainly related to mine exploitation and residual subsidence in the goaf, while the surface uplift is mainly related to restoration of the groundwater level. The average groundwater storage change in the eastern Xuzhou coalfield from January 2005 to June 2017 was obtained through the Gravity Recovery and Climate Experiment (GRACE) data, and the results indicated that the groundwater storage changed nonlinearly with time. The reliability of the groundwater monitoring results was qualitatively validated by using measured well data from April 2009 to April 2010. Combining with time of mining and mine closing analysis, groundwater storage change within the research area had a strong correlation with drainage activity of underground mining. An analysis was finally conducted on the surface deformation and the groundwater storage change within the corresponding time. The results indicated that the groundwater storage variation in the research area has a great influence on the surface deformation after the mine closed

An improved neighborhood-based ratio approach for change detection in SAR images

The speckle noise of synthetic aperture radar (SAR) images limits its application in change detection. Compared with improved ratio (IR) and log-ratio (LR) operators, the neighborhood-based ratio (NR) technique can restrain the influence of speckle noise and is more suitable for change detection in SAR images. However, we find three drawbacks of NR by analyzing this method carefully. To overcome these defects, we propose an improved neighborhood-based ratio (INR) approach for change detection in SAR images. INR restructures the NR operator to exploit the neighborhood information more reasonably and is expected to reduce the impact of speckle noise better. IR, LR, mean ratio operator, NR, and INR are tested on two data sets to compare their performances in change detection of SAR images. Experimental results show that the proposed method can obtain better difference image than other state-of-art methods and improve the accuracy of change detection in SAR images effectively

Study of probability integration method parameter inversion by the genetic algorithm

In order to obtain accurate probability integration method (PIM) parameters for surface movement of multi-panel mining, a genetic algorithm (GA) was used to optimize the parameters. As the measured surface movement is affected by more than one mining panel, traditional PIM parameter inversion model is difficult to ensure the reliability of the results due to the complexity of rock movement. With crossover, mutation and selection operators, GA can perform a global optimization search and has high computation efficiency. Compared with the pattern search algorithm, the fitness function can avoid falling into local minima traps. GA reduces the risk of local minima traps which improves the accuracy and reliability with the mutation mechanism. Application at Xuehu colliery shows that GA can be used to inverse the PIM parameters for multi-panel surface movement observation, and reliable results can be obtained. The research provides a new way for back-analysis of PIM parameters for mining subsidence under complex conditions. Keywords: Probability integration method, GA, Mining subsidence, Parameter inversion, Multiobjective optimizatio

A Spatial-Temporal Adaptive Neighborhood-Based Ratio Approach for Change Detection in SAR Images

The neighborhood-based method was proposed and widely used in the change detection of synthetic aperture radar (SAR) images because the neighborhood information of SAR images is effective to reduce the negative effect of speckle noise. Nevertheless, for the neighborhood-based method, it is unreasonable to use a fixed window size for the entire image because the optimal window size of different pixels in an image is different. Hence, if you let the neighborhood-based method use a large window to significantly suppress noise, it cannot preserve the detail information such as the edge of a changed area. To overcome this drawback, we propose a spatial-temporal adaptive neighborhood-based ratio (STANR) approach for change detection in SAR images. STANR employs heterogeneity to adaptively select the spatial homogeneity neighborhood and uses the temporal adaptive strategy to determine multi-temporal neighborhood windows. Experimental results on two data sets show that STANR can both suppress the negative influence of noise and preserve edge details, and can obtain a better difference image than other state-of-the-art methods