公开(公告)号：US20230019343A1

公开(公告)日：2023-01-19

申请号：US17944096

申请日：2022-09-13

Applicant: CHINA INSTITUTE OF WATER RESOURCES AND HYDROPOWER RESEARCH

Inventor： Wenlong Song ,  Juan LV ,  Changjun LIU ,  Rui TANG ,  Tao SUN ,  Xiaotao LI ,  June FU ,  He ZHU ,  Yizhu LU ,  Long CHEN ,  Hongjie LIU

IPC: G06V10/26 ,  G06V10/46 ,  G06V10/24

Abstract: Disclosed in the present invention is An annotation method of arbitrary-oriented rectangular bounding box, wherein: the elements for annotation being: the coordinates of the center point C, a vector {right arrow over (CD)} formed by the center point C and a chosen vertex D, and the ratio of the vector {right arrow over (CP)} to vector {right arrow over (CD)}, where {right arrow over (CP)} is the projection of the vector {right arrow over (CE)} to {right arrow over (CD)}, and {right arrow over (CE)} is a vector formed by the center of the bounding box to one of the vertex E that close neighbor to vertex D; and it is also required that the vector {right arrow over (CP)} is in the same direction as the vector {right arrow over (CD)}, the vertex E in either of the clockwise or counterclockwise direction of the vertex D. The symbol notation of this method is (xc, yc, u, v, ρ), xc and yc are the two coordinate values of the center point C, u and v are the two components of vector {right arrow over (CD)}, ρ is the ratio of the vector {right arrow over (CP)} to vector {right arrow over (CD)}. Also let a binary value s to indicate whether the two components of the vector {right arrow over (CD)} have same sign or not to represent {right arrow over (CD)} and −{right arrow over (CD)} at once by (|u|, |v|, s), then getting a method for annotating arbitrary-oriented rectangular bounding box that one bounding box has only two representation vectors. Its symbol notation is (xc, yc, |u|, |v|, s, ρ), wherein |u| and |v| are magnitude of two components of the vector {right arrow over (CD)}. This method avoids loss inconsistency between representations of the same bounding box and is beneficial to model regression training.

公开(公告)号：US20210048523A1

公开(公告)日：2021-02-18

申请号：US16993530

申请日：2020-08-14

Applicant: China Institute of Water Resources and Hydropower Research

Inventor： Tianjie LEI ,  Jinsheng JIA ,  Changjun LIU ,  Liuqian DING ,  Xiangyu LI ,  Cuiying ZHENG ,  Jiabao WANG

IPC: G01S13/90 ,  G06T7/60

Abstract: The present disclosure provides a method and a system for precise location of a high slope collapse area. Firstly, the slope images in a long time series are obtained, the slope images in the long time series are composed into a two-dimensional slope deformation graph, and an area with the maximum deformation in the two-dimensional slope deformation graph is selected as a deformation area. Then, the deformation area is segmented by straight line, and the deformation region obtained by straight line segmentation is displayed in overlapping way in the slope images of long time series, and the region corresponding to the connecting line with the largest change range is selected as the monitoring line area from the overlapping image. Finally, the monitoring points are selected from the monitoring line area to determine the location of the high slope collapse area

公开(公告)号：US20220301258A1

公开(公告)日：2022-09-22

申请号：US17826049

申请日：2022-05-26

Applicant: CHINA INSTITUTE OF WATER RESOURCES AND HYDROPOWER RESEARCH

Inventor： Wenlong SONG ,  Changjun LIU ,  Tao SUN ,  Rui TANG ,  Yuanyuan FU ,  Yizhu LU ,  Lang YU ,  Jie LIU ,  Yue WANG

IPC: G06T15/10

Abstract: Disclosed in the present invention is An improved rotated rectangular bounding box annotation method, used for taking as anchor boxes samples annotation and bounding box output at predicting of a target detection and tracking algorithm, wherein: coordinates of a central point C, a vector {right arrow over (CD)} from the coordinates of the central point C to any one vertex D, and a proportional coefficient of a vector {right arrow over (CP)} of a vector {right arrow over (CE)} on the vector {right arrow over (CD)} from the coordinates of the central point C to an adjacent vertex E of the vertex D, and a vector {right arrow over (CD)}; external constraints to be met: the vector {right arrow over (CP)} is in the same direction as the vector {right arrow over (CD)}, and the included angle from the vector {right arrow over (CD)} to the vector {right arrow over (CE)} is one of a clockwise direction or a counterclockwise direction; representation of an annotation vector {right arrow over (CD)}: the angle between the component of the annotation vector recorded at the first position and the vector is clockwise (or counterclockwise), and the value range of this angle is [0,90) degrees; the modulus value or another component of the annotation vector are recorded at the second position; the direction of the first component of the annotation vector is recorded at the third position, and this direction can be taken as X-axis direction or Y-axis direction; when the bounding box is square, either X-axis direction or Y-axis direction it can be taken. When the square bounding box and the general rectangular bounding box share the same constraints, recognition of the constraint by a machine learning algorithm is facilitated.

公开(公告)号：US20210049515A1

公开(公告)日：2021-02-18

申请号：US16993770

申请日：2020-08-14

Applicant: China Institute of Water Resources and Hydropower Research

Inventor： Changjun LIU ,  Tianjie LEI ,  Liuqian DING ,  Xiangyu LI ,  Jiabao WANG ,  Jinsheng JIA ,  Cuiying ZHENG ,  Chun ZHAO

IPC: G06N20/10

Abstract: The present invention provides a prediction method and system of high slope deformation. First, historical deformation data of each period of each part of a high slope is obtained as sample data; the sample data is divided into training samples and test samples; then a parameter group of a Support Vector Machine (SVM) model is optimized by using the training samples and a particle Swarm Optimization (PSO) algorithm to determine an optimal parameter group of the SVM model, to obtain a trained SVM model; whether the trained SVM model satisfies a condition is verified by using the test samples, and when the SVM model does not satisfy the condition, an optimal parameter group of the SVM model is re-determined; and finally the deformation of each area of the high slope is predicted by using the SVM model that satisfies the condition.

公开(公告)号：US20210048294A1

公开(公告)日：2021-02-18

申请号：US16991389

申请日：2020-08-12

Applicant: China Institute of Water Resources and Hydropower Research

Inventor： Tianjie LEI ,  Liuqian DING ,  Changjun LIU ,  Jinsheng JIA ,  Cuiying ZHENG ,  Xiangyu LI ,  Jiabao WANG ,  Chun ZHAO

IPC: G01B21/32 ,  G01S13/86 ,  G06T7/00 ,  B64C39/02 ,  G06K9/00

Abstract: A dam slope deformation monitoring system and method are provided. The monitoring system monitors an entire dam in a reservoir area by using an unmanned aerial vehicle (UAV) photogrammetry system, and determines an encrypted monitoring area (steep slope) with the relatively large deformation and a relatively large digital elevation difference; determines, in the intensive monitoring area, a first level key monitoring area with the larger deformation by using a ground-based radar interferometry measurement system; determines, in the first level key monitoring area, a second level key monitoring area with the larger deformation by using a ground-based three-dimensional lidar measurement system; determines, in the second level key monitoring area, a key monitoring particle with a high deformation speed by using a global navigation satellite system (GNSS). The core chip stack is used to monitor and warn the collapse process in the area where the key monitoring particles are located.