Identification of geomorphological hazards in an underground coal mining area based on an improved region merging watershed algorithm

Zhang, Mingmei; Ge, Yong; Xue, Yiguo; Zhao, Jing

doi:10.1007/s12517-020-05329-3

Cited by 5 publications

(3 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The disadvantage of the watershed algorithm is over-segmentation. Therefore, many improved methods have been proposed at home and abroad, including hierarchical watershed segmentation [3], [4], watershed segmentation based on merging [5]- [7], and watershed segmentation algorithms based on marking [8]- [25]. Arbelaez P et al [4] simplified the image segmentation problem into a contour detection problem and refined the segmentation results by hierarchical segmentation.…”

Section: Introductionmentioning

confidence: 99%

“…Arbelaez P et al [4] simplified the image segmentation problem into a contour detection problem and refined the segmentation results by hierarchical segmentation. Zhang et al [5] proposed using a region merging algorithm and watershed algorithm to combine and segment images in lab color space. In the same year, Zhang proposed the Luv color space as the regional similarity measure of regional merging and used the watershed algorithm for segmentation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bubble Image Segmentation Based on a Novel Watershed Algorithm With an Optimized Mark and Edge Constraint

Peng

Liu

Gui

et al. 2022

IEEE Trans. Instrum. Meas.

View full text Add to dashboard Cite

Bubble size contains important indication information that is closely related to flotation production conditions and process indicators. However, bubble images often have low contrast, noise and many other shortcomings, making foam segmentation a difficult problem that the existing segmentation methods cannot solve. In this paper, an improved watershed algorithm based on optimal labeling and edge constraints is proposed. Three algorithms are designed to obtain different initial tags, and then the extracted content of different tags is fused to obtain the combined foreground tag. To reduce the offset of the segmentation line, the edge operator is applied to extract the bubble boundary, and the boundary priori condition is used as a constraint to correct the segmentation line. Finally, the optimal segmentation line is obtained by fusing foreground markers and external constraints. Industrial experiments show that this method is effective and has a higher accuracy than the other methods. The average value and variance of rand index (RI) are 92.88% and 0.69, respectively.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bubble Image Segmentation Based on a Novel Watershed Algorithm With an Optimized Mark and Edge Constraint

Peng

Liu

Gui

et al. 2022

IEEE Trans. Instrum. Meas.

View full text Add to dashboard Cite

show abstract

“…For these abnormal deformation areas, the reliability of the results can be verified by numerical simulation, comparison of GPS monitoring results, or field investigations of the abnormal area [18,41,42]. Numerous studies have shown that SBAS-InSAR technology has high monitoring accuracy [43], providing excellent results for the identification of landslides and other geological disasters [44][45][46]. However, most studies have ignored the geometric distortions of the satellite images, including shadows, layover, and foreshortening [45], which are especially pronounced in mountainous areas.…”

Section: Introductionmentioning

confidence: 94%

Preliminary Identification of Geological Hazards from Songpinggou to Feihong in Mao County along the Minjiang River Using SBAS-InSAR Technique Integrated Multiple Spatial Analysis Methods

Zhu

Cao

et al. 2021

Sustainability

View full text Add to dashboard Cite

Landslides and collapses are common geological hazards in mountainous areas, posing significant threats to the lives and property of residents. Therefore, early identification of disasters is of great significance for disaster prevention. In this study, we used Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technology to process C-band Sentinel-1A images to monitor the surface deformation from Songpinggou to Feihong in Maoxian County, Sichuan Province. Visibility analysis was used to remove the influence of geometric distortion on the SAR images and retain deformation information in the visible area. Hot spot and kernel density analyses were performed on the deformation data, and 18 deformation clusters were obtained. Velocity and slope data were integrated, and 26 disaster areas were interpreted from the 18 deformation clusters, including 20 potential landslides and 6 potential collapses. A detailed field investigation indicated that potential landslides No. 6 and No. 8 had developed cracks and were severely damaged, with a high probability of occurrence. Potential collapse No. 22 had developed fissures, exposing a dangerous rock mass and posing significant threats to the lives and property of residents. This study shows that the proposed method that combines visibility analysis, InSAR deformation rates, and spatial analysis can quickly and accurately identify potential geological disasters and provide guidance for local disaster prevention and mitigation.

show abstract

Tracking vegetation degradation and recovery in multiple mining areas in Beijing, China, based on time-series Landsat imagery

Han

Zhu

et al. 2021

GIScience & Remote Sensing

View full text Add to dashboard Cite

Identification of geomorphological hazards in an underground coal mining area based on an improved region merging watershed algorithm

Cited by 5 publications

References 43 publications

Bubble Image Segmentation Based on a Novel Watershed Algorithm With an Optimized Mark and Edge Constraint

Bubble Image Segmentation Based on a Novel Watershed Algorithm With an Optimized Mark and Edge Constraint

Preliminary Identification of Geological Hazards from Songpinggou to Feihong in Mao County along the Minjiang River Using SBAS-InSAR Technique Integrated Multiple Spatial Analysis Methods

Tracking vegetation degradation and recovery in multiple mining areas in Beijing, China, based on time-series Landsat imagery

Contact Info

Product

Resources

About