Road construction progress tracking method, device and equipment and storage medium
A construction progress and progress tracking technology, applied in the direction of instruments, character and pattern recognition, data processing applications, etc., can solve the problems of multiple human resources and time, cost, and affect the smooth completion of road projects, and achieve high classification efficiency and classification results Accurate, computationally fast results
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Embodiment 1
[0060] This embodiment provides a method for tracking road construction progress, such as figure 1 As shown, the main flow of the method is described as follows (steps S101-S106):
[0061] Step S101: Construct the UAV image interpretation model according to the supervised classification method, train the UAV image interpretation model according to multiple feature samples, and obtain the trained classification object interpretation model.
[0062] Such as figure 2 As shown, optionally, step S101 includes the following sub-steps (steps S1011-S1015):
[0063] Step S1011: classify multiple feature samples according to multiple construction progress states to form a feature sample rule set for each construction progress state. Obtain multiple images containing construction road sections taken by UAVs, each construction road section corresponds to multiple UAV images, and perform image mosaic on multiple UAV images belonging to the same construction road section, and then from t...
Embodiment 2
[0090] In order to better implement the above method, an embodiment of the present invention provides a road construction progress tracking device, which can be integrated into a road construction progress tracking device, such as a terminal or server. The terminal can include a tablet computer or Desktop computers and other equipment.
[0091] image 3 A structural block diagram of a road construction progress tracking device provided for an embodiment of the present invention, such as image 3 As shown, the road construction progress tracking device mainly includes:
[0092] The training module 201 is used to construct an unmanned aerial vehicle image interpretation model according to the supervised classification method, and train the classification object interpretation model according to a plurality of feature samples to obtain a trained classification object interpretation model;
[0093] The obtaining module 202 is used to obtain a plurality of aerial images with geos...
Embodiment 3
[0104] In order to better execute the program of the above method, an embodiment of the present invention provides a computer device, such as Figure 4 As shown, computer device 300 includes memory 301 and processor 302 .
[0105] The computer device 300 may be implemented in various forms, including fixed terminals such as tablet computers, palmtop computers, notebook computers, and desktop computers.
[0106] Wherein, the memory 301 may be used to store instructions, programs, codes, code sets or instruction sets. The memory 301 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing the operating system, instructions for at least one function (such as training the UAV image interpretation model, multiple Carry out image mosaic and extract the image of the construction road section to be tracked, etc.) and instructions for implementing the road construction progress tracking method provided by the ...
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