A water level monitoring method based on dictionary learning
A dictionary learning, water level monitoring technology, applied in character and pattern recognition, level indicator of level members, instruments, etc., can solve the problems of indistinguishable, low water level efficiency, etc., and achieve the effect of high stability and robustness
Active Publication Date: 2022-07-01
NANJING UNIV OF POSTS & TELECOMM
View PDF4 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] In order to solve the deficiencies in the prior art, the present invention provides a water level monitoring method based on dictionary learning, which solves the problem that the traditional water level monitoring method requires human eyes to observe the water level with low efficiency and difficulty in distinguishing
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0040] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.
[0041] like figure 1 As shown, a water level monitoring method based on dictionary learning includes the following steps:
[0042] Step 1, fix a measurement pole in the river area to be measured, and collect images of the measurement pole and the area near the water surface in real time through a camera;
[0043] Step 2, collect several images as training images, divide each image into C categories, use a sliding window to collect training data for each category of image blocks, and label the corresponding category;
[0044]Step 3, using the method of dictionary learning to train the training data to obtain a dictionary D;
[0045] Step 4: Use the dictionary D to classify the imag...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a water level monitoring method based on dictionary learning, comprising the following steps: step 1, fixing a measuring pole in the river area to be measured, and collecting images of the measuring pole and the area near the water surface in real time through a camera; step 2, collecting Several images are used as training images, each image is divided into C categories, and the sliding window is used to collect training data for the image blocks of each category, and the corresponding category labels are marked; step 3, using the dictionary learning method to train the training data, A dictionary D is obtained; in step 4, the images collected by the camera are classified in real time by using the dictionary D, and the category label vector of the image is obtained, thereby obtaining the water level value. The invention can be realized only by installing a traditional benchmark, overcomes the problem that the position of the horizontal plane is difficult to accurately identify in the traditional water level measurement scheme, and has high stability and robustness.
Description
technical field [0001] The invention relates to the field of computer vision image processing, in particular to a water level monitoring method based on dictionary learning. Background technique [0002] Because water security and water resources issues seriously affect the sustainable development of economy and society and the safety of people's lives and property, it is particularly important to monitor the water level of rivers, lakes, rivers, and reservoirs in real time. The current water level monitoring technology is mainly through the establishment of video monitoring systems in these areas, and the water level value is obtained through artificial real-time observation. [0003] Most of the video surveillance methods only use the real-time viewing function of the video, especially for the monitoring of flood disasters in the rainy season, which still requires 24-hour uninterrupted observation, which consumes a lot of manpower and material resources, and is inefficient...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/772G06V10/764G06K9/62G01F23/04
CPCG01F23/04G06F18/28G06F18/24
Inventor 桂冠潘金秋熊健范山岗杨洁孙颖异周天樊亚萍
Owner NANJING UNIV OF POSTS & TELECOMM