Water and soil conservation production construction project disturbance pattern spot extraction method, medium and equipment
An extraction method and technology for construction projects, applied in the field of soil and water conservation production and construction project disturbance pattern extraction, can solve the problems of inconsistent result standards and low work efficiency, and achieve the effect of improving work efficiency and result quality
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Embodiment 1
[0070] This embodiment discloses a method for extracting disturbance patterns of water and soil conservation production and construction projects. The method can quickly and automatically extract disturbance patterns of water and soil conservation production and construction projects, and provide basic data for the supervision of water and soil conservation production and construction projects, such as figure 1 As shown in 7, the specific steps of the method include:
[0071] S1. Obtain a plurality of remote sensing images of known areas and label categories of corresponding areas. The label categories are obtained according to the result data of the regional disturbance map spot vector file. The label categories include disturbance areas and non-disturbance areas;
[0072] In this embodiment, the acquired remote sensing image is a high-resolution remote sensing image, and the high-resolution remote sensing image refers to a remote sensing image with a spatial resolution not lo...
Embodiment 2
[0111] This embodiment discloses a device for extracting disturbed patterns of water and soil conservation production and construction projects. The device includes a first acquisition module, a first four-band remote sensing image generation module, a segmentation module, an optimal segmentation scale determination module, a training module, and a second The acquisition module, the second four-band remote sensing image generation module, the second segmentation module, the prediction classification module and the disturbance map spot vector file generation module, the functions of each module are as follows:
[0112] The first acquiring module is configured to acquire a plurality of remote sensing images of known areas and label categories of corresponding areas, where the label categories include disturbance areas and non-disturbance areas.
[0113] The first four-band remote sensing image generation module is used to calculate the vegetation index for each remote sensing ima...
Embodiment 3
[0124] This embodiment discloses a storage medium, which stores a program. When the program is executed by a processor, the method for extracting disturbance patterns of water and soil conservation production and construction projects described in Embodiment 1 is implemented, as follows:
[0125] S1. Obtain remote sensing images of multiple known areas and the label categories of the corresponding areas. The label categories include disturbed areas and non-disturbed areas;
[0126] S2. Calculate the vegetation index for each remote sensing image obtained in S1, and form a four-band remote sensing image based on the fusion of the vegetation index, perform multi-scale segmentation on each four-band remote sensing image, and obtain remote sensing image fragment datasets of various scales, based on the remote sensing image Label categories get sample sets of various scales;
[0127] S3. Train each convolutional neural network model separately through sample sets of various scales,...
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