Object classification-oriented rare earth mining area remote sensing information extraction method
An object-oriented, information extraction technology, applied in the field of geological and mineral resources research, can solve problems that cannot meet the classification requirements of high-resolution remote sensing images, and achieve the effect of improving classification accuracy and reducing homogeneity and heterogeneity
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[0030] Embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0031] Such as figure 1 Shown is the technical roadmap of the method of the present invention. A remote sensing information extraction method based on object-oriented classification of rare earth mining areas, including the following steps: 1) first preprocess the remote sensing data source of the selected research area, and then use an edge-based segmentation algorithm to perform image segmentation; 2) then combine Topographic information, spectral information and geometric information establish a series of rules to realize feature extraction; 3) Finally, perform object-oriented classification to extract rare earth mining areas in the research area.
[0032] Such as figure 2 Shown is the geographic location map of the selected study area. The selected research area is located in Xunwu County, Jiangxi Province, with an area of about 100 s...
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