Method and system for estimating vegetation coverage degree in diggings based on close-up photography
A technology of vegetation coverage and close-range photography, which is applied in the field of estimation of vegetation coverage in mining areas based on close-range photogrammetry
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Embodiment 1
[0067] The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention. Embodiment 1 The method for estimating mining area vegetation coverage of the present invention
[0068] Taking the vegetation restoration area of Haizhou open-pit mine dump in Fuxin City, Liaoning Province as an example, a 10-megapixel digital camera was used to take pictures in this area, with a quadrat size of 1m*1m. 200 pictures were taken, and 300 pictures were taken vertically downwards. At the same time, accurate visual estimation of the vegetation coverage was carried out in the photographed area. The results show that the deviation between this method and strict visual estimation is very small, most of the deviations are below 5%, and the largest deviation is only 7.6%.
[0069] The flow diagram of the method for estimating the vegetation coverage in mining areas based on close-range photogrammetry in the present invention ca...
Embodiment 2
[0110] Embodiment 2 The system for estimating the vegetation coverage in mining area of the present invention
[0111] The system for estimating vegetation coverage in mining areas based on close-range photogrammetry in the present invention includes a feature extraction module, a classifier training module, a vegetation and non-vegetation classification module, and a vegetation coverage calculation module. For a schematic diagram of its structure, see figure 2 .
[0112] 1. Feature extraction module
[0113] It is used to extract the color features and texture features of the image and form a feature vector. The image contains vegetation samples, non-vegetation samples, and data to be estimated; the color features include red, green, blue, brightness and The red average value, green average value, and blue average value of the 3 × 3 square matrix centered on the pixel; the texture features include the standard deviation and contrast of the 5 × 5 square matrix centered on ...
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