Multi-view optical satellite remote sensing image target recognition training sample set construction method
A training sample set and target recognition technology, which is applied in the field of multi-view optical satellite image target recognition deep learning training sample set construction, can solve the problem of high cost of multi-view optical satellite image acquisition, heavy workload of manual labeling of samples, integration of training samples Insufficient consideration of multi-view factors and other issues can achieve the effects of reducing production costs and professional thresholds, good versatility, and improving efficiency
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[0034] Using the 3D model and vector map data of Dubai urban area, the multi-view optical satellite remote sensing image target recognition training sample set was constructed. The specific implementation process is as follows:
[0035] 1. Collected the 3D model of Dubai City ( figure 1 ) and an appropriate amount of map data ( figure 2 ), and evaluated its scale, resolution, timeliness, etc. The evaluation considers that the input data meet the needs of constructing multi-view satellite images with a resolution lower than 2m, and further work can be carried out.
[0036] 2. Using the 3D model data and vector map data of Dubai City, set the orbital attitude, camera orientation elements, MTF, atmospheric conditions, platform tremor and other parameters of multi-view satellite imaging, and use the ray tracing method to trace each The whole process of light propagation at a ground point is modeled, and the multi-view satellite simulation image of Dubai city is obtained.
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