Noncontact detection of earthquake-induced landslides by an enhanced image binarization method incorporating with Monte-Carlo simulation

Han, Zheng; Li, Yange; Du, Yuchuan; Wang, Weidong; Chen, Guangqi

doi:10.1080/19475705.2018.1520745

Cited by 24 publications

(12 citation statements)

References 39 publications

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“…The OpenCV open-source image library based on Python language realizes binarization of the distribution of rock mass fractures. According to the image outline recognized by binarization (Han et al 2019), we draw the overall shedding area (green curve area) and the shape of the fissure development (blue line) (Fig. 12).…”

Section: Calculation Of the Area And Volume Of The Overlying Rock Shedding Areamentioning

confidence: 99%

Evolution characteristics of mining fissures in overlying strata of stope after converting from open-pit to underground

et al. 2021

Arab J Geosci

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The mechanical properties and engineering response characteristics of rock under the interaction of slope rock mass and underground mining have always been a major difficulty in research. In this paper, the deep ore body of No. 2 pit of Jinning Phosphate Mine was taken as the engineering background. In order to reveal the deformation and failure process and evolution laws of fractured rock masses, semi-quantitative indicators such as the shape, quantity, density, size, distribution range, spatial position, and rock mass movement angle of the developed fissures were analyzed. In addition, the morphological equation of the outermost fracture zone of the slope, the surrounding rock of the underground stope, and the overlying rock mass was established after the open-pit was converted to the underground. Combined with the physical model experiments (model slope height was 200 m; slope angle was 55°), MatDEM numerical simulation showed that (1) after the pillar mining was completed, the fissures at the left and right ends of the overlying rock mass were mostly long fissures with medium and high angles (30° ~ 90°), while the middle part and near the main fissures were mostly small fissures with low angles (0° ~ 30°). ( 2) The fracture evolution of the overlying rock mass in the mining area was a dynamic stratification process that extends upward in turn, accompanied by shedding, falling, and collapse. This study can provide theoretical guidance for the safe and effective mining of gently inclined phosphate rock.

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Section: Calculation Of the Area And Volume Of The Overlying Rock Shedding Areamentioning

confidence: 99%

Evolution characteristics of mining fissures in overlying strata of stope after converting from open-pit to underground

et al. 2021

Arab J Geosci

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“…The study area is the Qingchuan County in the transitional region between the Sichuan Basin and the Western Sichuan Plateau. This area has long been recognized as one of the most landslide-prone areas of China [31]. It locates between 32 • 12 ~32 • 56 N in latitude and 104 • 36 ~105 • 38 E in longitude, covering a total area of 3217 km 2 .…”

Section: Study Areamentioning

confidence: 99%

Spatial Proximity-Based Geographically Weighted Regression Model for Landslide Susceptibility Assessment: A Case Study of Qingchuan Area, China

Liu

Han

et al. 2020

Applied Sciences

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Landslides pose a serious threat to the safety of human life and property in mountainous regions. Susceptibility assessment for landslides is critical in landslide management strategy. Recent studies indicate that the traditional assessment models in many previous studies commonly assume a fixed relationship between influencing factors and landslide occurrence within an area, resulting in an inadequate evaluation for the local landslides susceptibility. To address this issue, in this paper we propose a spatial proximity-based geographically weighted regression (S-GWR) model considering spatial non-stationarity of landslide data for assessing the landslide susceptibility. Spatial proximity is the basic input condition for the proposed S-GWR model. The challenge lies in defining the spatial proximity expression that shows the geographical features of landslides and therefore affects the model ability of S-GWR. Our solution chooses the slope unit as spatial adjacency, rather than the grid unit in DTM. The multicollinearity between landslide influencing factors is then eliminated through variance inflation factor (VIF) method and principal component analysis (PCA). The proposed model is subsequently validated by using data in Qingchuan County, southwestern China. Spatial non-stationary is identified for landslide data. A comparison with grid unit and four traditional evaluation models is conducted. Validation results using the area under the ROC (receiver operating characteristic) curve and success rate curve indicate that the spatial proximity-based GWR model with slope unit has the highest predictive accuracy (0.859 and 0.850 respectively).

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“…Edge detection must meet two conditions: it must effectively suppress noise and locate the edge as accurately as possible. Image binarization [31,32] is one of the most commonly used image processing methods. In the binarization process, a specified threshold is set for the pixel value of the greyscale image.…”

Section: Image Binarizationmentioning

confidence: 99%

Concrete Crack Identification and Image Mosaic Based on Image Processing

et al. 2019

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Crack assessment is an essential process in bridge detection. In general, most non-contact crack detection techniques are not suitable for widespread use. The reason for this is that they all need to position the ruler at the inspection site in advance or calibrate the camera unit pixel size at a certain distance in a very intricate process. However, the object distance method in this paper can complete the calculation using only the crack image and the working distance, which are provided by an acquisition system equipped with a camera and laser range finder. First, the object distance method and the scale method are compared by calculating the crack width, and the results show that the object distance method is the more accurate method. Then, a double edge pixel statistical method is proposed to calculate the crack length, which solves the problem of redundant and missing pixels. In addition, the conventional mosaic algorithm is improved to realize an image mosaic for the more efficient splicing of crack images. Finally, a series of laboratory tests were conducted to verify the proposed approach. The experiments showed that the precision of crack length extraction can reach 92%, and the improved algorithm stitching precision can reach 98%.

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Noncontact detection of earthquake-induced landslides by an enhanced image binarization method incorporating with Monte-Carlo simulation

Cited by 24 publications

References 39 publications

Evolution characteristics of mining fissures in overlying strata of stope after converting from open-pit to underground

Evolution characteristics of mining fissures in overlying strata of stope after converting from open-pit to underground

Spatial Proximity-Based Geographically Weighted Regression Model for Landslide Susceptibility Assessment: A Case Study of Qingchuan Area, China

Concrete Crack Identification and Image Mosaic Based on Image Processing

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