Remote sensing image cloud detection method based on feature multi-scale perception and adaptive aggregation
A self-adaptive aggregation and remote sensing image technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve problems such as manual design, poor detection of cloud shadows, avoid cumbersome steps, save time and labor costs, Realize the effect of high-precision automatic extraction
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[0056] In order to make the object of the present invention, technical solutions and advantages more clearly understood, the following in conjunction with specific embodiments and accompanying drawings to explain the present invention.
[0057] See Figure 1- Figure 2 , the present invention provides a remote sensing image cloud detection method based on feature multi-scale perception and adaptive aggregation, by introducing a fusion feature multi-scale perception module, a feature adaptive aggregation module of UNet-Cloud network automatically extracts clouds and cloud shadows, and uses a series of vector post-processing processes to automatically obtain an image effective area closer to manual production, and even more accurate than the image effective area obtained by manual production, It saves a lot of time and labor costs for the production of remote sensing images and facilitates the subsequent application of images. The remote sensing image cloud detection method specifica...
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