40 results about "Landslide detection" patented technology

The present invention relates to a high-resolution remote sensing image-based multi-index fusion landslide detection method, which comprises the steps of (1) acquiring a high-resolution remote sensing image and a stereoscopic image pair; (2) generating a digital elevation model and calculating terrain feature indexes; (3) preprocessing the remote sensing image; (4) conducting the multi-scale image segmentation for the remote sensing image; (5) selecting appropriate terrain feature indexes for different scale layers and obtaining the values of the terrain feature indexes; (6) conducting the fusion processing for terrain feature indexes and ground object feature indexes, and comparing each feature index with a preset rule set to realize the landslide detection. Compared with the prior art, the noise influence caused by the scattered distribution of landslide regions can be avoided, so that the landslide recognition and extraction problem caused by earthquakes or other natural damages can be solved. Therefore, the method provides support for the post-disaster reconstruction and restoration. The above feature indexes can reflect the features of a ground object within a selected region, and a threshold corresponding to the feature indexes is unique. Based on the combination of features and the determination of the threshold, the landslide region can be successfully extracted and studied.

The invention discloses a landslide detection method based on multi-scale feature fusion, which relates to the technical field of target detection. Firstly, the captured images are sent to VGGNet withfocus module in real time. The depth features are extracted from the convolution layer from bottom to top, and then the depth features are fused from top to bottom according to different layers. Then, a selective search is performed on the original input image to generate several candidate boxes which may contain the target region. According to the size of the original image, the size of the candidate frame and the size of each feature map after feature fusion, the mapping size of each candidate frame on three feature maps is calculated. The dimensions of all the mapped feature maps are unified and passthrough all the connecting layers to adjust the position and dimensions of the candidate frames; Finally, the preliminary detection results are obtained by non-maximum suppression on the original image, and the final detection results are obtained. The invention can detect the debris flow phenomenon with different sizes, and greatly accelerates the detection speed.

The invention relates to a river levee side slope landslide detection device, and belongs to the field of geological disaster detection equipment. The river levee side slope landslide detection devicecomprises a ground pile implanted into slope ground along a direction perpendicular to a horizontal plane and a detection box arranged at one end of the ground pile, which faces away from the ground;a datum rope is suspended inside the detection box; a through-beam type photoelectric switch and a power supply are also arranged inside the detection box; a transmitter and a receiver of the through-beam type photoelectric switch are respectively arranged at both sides of the datum rope; when the detection box is not shifted, the datum rope is positioned between the transmitter and the receiverfor blocking off light; the through-beam type photoelectric switch is coupled with an alarm mechanism; the power supply provides required electric energy for the through-beam type photoelectric switchand the alarm mechanism; and when the detection box is inclined, the alarm mechanism sends out an alarm signal. The river levee side slope landslide detection device disclosed by the invention replaces artificial cyclic detection to carry out real-time inspection, so that when labor cost is saved, detection accuracy is improved.

Disclosed herein is a test apparatus for early landslide detection fully-connected with pore water pressure, surface displacement and shear surface. The test apparatus calculates a factor of safety of a slope based on variation in pore water pressure, surface displacement and shear surface of a soil mass, and predicts a change in factor of safety, thus making early landslide detection possible. In the test apparatus, while a container of a slider is moved with a soil mass loaded into the container, shear surface and surface displacement environment is provided, and the shear strength and the shear stress of the soil mass can be calculated based on the pore water pressure and the weight of the soil mass. Thereby, the factor of safety of the soil mass can be calculated, and early landslide detection can be realized by using variation of the factor of safety of the slope.

The invention discloses an SAR and optical image fusion method for landslide detection. The method provided by the invention comprises the following steps: step 1, preprocessing an SAR and an opticalimage; step 2, performing HIS conversion on the optical image to obtain three components I, H and S; step 3, performing stationary wavelet transform and high-frequency component energy maximization fusion on I components of the SAR image and the optical image; step 4, performing saliency detection on the low-frequency and high-frequency components of the SAR image and the gray scale information ofthe image, establishing an SAR salient target detection area guidance function, and partitioning the SAR image; step 5, establishing a salient region fusion rule, and realizing image fusion accordingto a regional fusion strategy; and step 6, identifying and extracting landslide disaster information based on the fused image. The method has good adaptability to SAR and optical image fusion for landslide detection, adopts related processing measures in structure maintenance, noise removal and spectrum reservation, and obtains an excellent effect.

The invention belongs to the technical filed of radar remote control image processing, and provides an estimation method of a terrain azimuth angle under vegetation cover based on polarimetric synthetic aperture radar (POLSAR). By means of strong penetrability of the POLSAR, a vegetation cover area is observed once, and on the basis of an electromagnetic scattering theory and mathematical modeling, and topographic relief information under the vegetation cover in radar observation data is estimated. Due to the fact that earth surface observation can be carried out all day long in four seasons through the radar, and the topographic relief information under the estimated vegetation cover can provide sufficient guarantees for landslide detection, disaster emergency response, territorial resource annotation and others. Due to the fact that only one POLSAR image is used, economic expenses cost in buying radar data can be greatly reduced, and applicable ranges are greatly increased.

The embodiment of the invention provides a landslide detection method, device and equipment and a storage medium, and relates to the technical field of geological disaster prediction, and the method comprises the steps: obtaining pre-earthquake and post-earthquake remote sensing images of a to-be-detected region from an optical remote sensing image system, carrying out the registration, and carrying out the change detection of the post-earthquake remote sensing image according to the registered pre-earthquake remote sensing image; extracting a predicted deformation area from the post-earthquake non-change area according to the image of the post-earthquake non-change area and a preset deformation rate diagram of the to-be-detected area, and combining the predicted deformation area with the post-earthquake change area to obtain a target area; and calculating feature parameters of each object in the target area according to a gray texture feature map obtained by calculating the preset radar image of the to-be-detected area, the post-earthquake remote sensing image, a preset digital elevation model and a preset deformation rate map, and rejecting areas where non-landslide ground objects are located in the target area based on the parameters to obtain a landslide hidden danger area. According to the invention, the accuracy and comprehensiveness of landslide hidden danger detection can be improved.

The invention discloses a three-dimensional identification method of a landslide slip surface based on unmanned aerial vehicle images and deep learning, and relates to the technical field of disaster monitoring. The objective of the invention is to solve the problem of inaccurate specific positioning of a slip plane in the existing landslide detection method. According to the method, an unmanned aerial vehicle is used for collecting images of at least five different angles of a detected area as detection images, a semantic segmentation network is used for distinguishing types of all pixel points in the detection images, a semantic segmentation result is obtained, the types of the pixel points comprise background pixel points and landslide slip plane pixel points, and the types of the pixel points comprise background pixel points and landslide slip plane pixel points. Reconstructing the detection image by using a three-dimensional reconstruction algorithm to obtain a three-dimensional point cloud containing a landslide slip plane, calculating a two-dimensional coordinate of any pixel point A in the three-dimensional point cloud in a two-dimensional plane, substituting the two-dimensional coordinate of the pixel point A in the two-dimensional plane into the semantic segmentation result obtained in the step 2 to obtain the type of the pixel point A, and obtaining the type of the pixel point A; and taking the type of the pixel point A and the three-dimensional coordinate of the pixel point A as a three-dimensional identification result of the landslide slip plane.

The invention discloses an urban safety early warning interlocking management and control device, which includes a railway gate detection device, an uplink proximity monitoring device, a downlink proximity detection device, a station signal light detection device, a station arrival detection device, an earthquake detection device, a flood detection device, a strong wind Detection device, rainstorm detection device, landslide detection device, debris flow detection device. The invention makes the types of detection terminals more perfect; and according to different detection information, different degrees of processing are carried out; it is divided into adjustable and non-adjustable, and when adjustable, the corresponding adjustment device is directly interlocked to control the interlock adjustment.

The invention discloses a satellite selection method for improving RTK positioning precision and belongs to the field of RTK positioning of a global satellite navigation system. According to method provided by the scheme, after a reference satellite is selected through an elevation angle, a dual-difference residual error threshold is set, phase pseudo range dual-difference residual errors are calculated for the reference satellite and each common satellite, and satellite selection is carried out according to value sizes. According to the scheme, the computational complexity is quite small, the threshold of the dual-difference residual errors can be dynamically adjusted according to different phases in an RTK positioning process, the convergence speed of the RTK positioning is accelerated, the RTK positioning precision is further improved, and the method has great significance on such application occasions with ever improving precision requirements as landslide detection and the like.

The invention discloses a landslide monitoring system for railway disaster prevention. The landslide monitoring system comprises a landslide detection system, a monitoring host system and a landslide sensing system, wherein the landslide sensing system senses landslide change information and transmits the landslide change information to the landslide detection system; the landslide detection system processes and converts the received landslide change information into a sensing signal and transmits the sensing signal to the monitoring host system; and the monitoring host system stores and processes the landslide change information. The landslide monitoring system can perform unmanned real-time monitoring on the landslide change information continuously, and gives an alarm before the changes of a roadbed exceed the safety range to effectively prevent accidents such as rain derail from happening.

The present invention relates to a high-resolution remote sensing image-based multi-index fusion landslide detection method, which comprises the steps of (1) acquiring a high-resolution remote sensing image and a stereoscopic image pair; (2) generating a digital elevation model and calculating terrain feature indexes; (3) preprocessing the remote sensing image; (4) conducting the multi-scale image segmentation for the remote sensing image; (5) selecting appropriate terrain feature indexes for different scale layers and obtaining the values of the terrain feature indexes; (6) conducting the fusion processing for terrain feature indexes and ground object feature indexes, and comparing each feature index with a preset rule set to realize the landslide detection. Compared with the prior art, the noise influence caused by the scattered distribution of landslide regions can be avoided, so that the landslide recognition and extraction problem caused by earthquakes or other natural damages can be solved. Therefore, the method provides support for the post-disaster reconstruction and restoration. The above feature indexes can reflect the features of a ground object within a selected region, and a threshold corresponding to the feature indexes is unique. Based on the combination of features and the determination of the threshold, the landslide region can be successfully extracted and studied.

The invention discloses a novel simple landslide detection device and solves problems of commonly high investment, complex assembling and relatively high operation cost of a landslide detection device in the prior art. According to the scheme, the novel simple landslide detection device comprises an iron protection casing, a solar cell panel, a mobile power source and a sound-light alarm device, wherein an upper surface of the iron protection casing is provided with the solar cell panel, the mobile power source is connected with the solar cell panel and the sound-light alarm device through leads, the novel simple landslide detection device further comprises an underground pile, the iron protection casing is internally provided with a liquid inclination type switch in lead connection with the mobile power source to realize alarm, the liquid inclination type switch is connected with the underground pile, and a lower surface of the liquid inclination type switch is provided with four support columns. The novel simple landslide detection device has properties of simple structure, simple mounting, convenient use and easy maintenance during practical operation, saves a lot of manpower, can satisfy engineering forecast safety requirements and has strong practicality.

The invention discloses a three-dimensional imaging method and system for resistivity data fusion for landslide detection. The technical solution is as follows: obtaining geophysical data according to various geophysical detection lines laid out; preprocessing the geophysical data, and passing Obtain two-dimensional resistivity data by inversion method; extract resistivity data of multiple geophysical prospecting methods at the same position, and fuse multiple resistivity data; establish a three-dimensional coordinate system, and convert the fused two-dimensional detection data into three-dimensional detection Data, the three-dimensional detection data is imaged to obtain a three-dimensional stereogram. The invention fuses the two-dimensional detection data obtained by the inversion of the transient electromagnetic method and the high-density electric method, and obtains the three-dimensional detection data through the three-dimensional coordinate conversion formula, and finally obtains the three-dimensional stereogram after the three-dimensional detection data is imaged, thereby determining the sliding surface in space distribution range.

The invention belongs to the technical filed of radar remote control image processing, and provides an estimation method of a terrain azimuth angle under vegetation cover based on polarimetric synthetic aperture radar (POLSAR). By means of strong penetrability of the POLSAR, a vegetation cover area is observed once, and on the basis of an electromagnetic scattering theory and mathematical modeling, and topographic relief information under the vegetation cover in radar observation data is estimated. Due to the fact that earth surface observation can be carried out all day long in four seasons through the radar, and the topographic relief information under the estimated vegetation cover can provide sufficient guarantees for landslide detection, disaster emergency response, territorial resource annotation and others. Due to the fact that only one POLSAR image is used, economic expenses cost in buying radar data can be greatly reduced, and applicable ranges are greatly increased.