RURAL LAND INFORMATION EXTRACTION BASED ON IMPROVED DEEELABV3 NETWORK IN HIGH R

The high-resolution remote sensing images in rural areas contain more complex land use information, which makes it more difficult to extract information, and the results of existing models are usually poor performance. To alleviate this problem, a rural land information extraction model based on improved high-resolution remote sensing images of Deeelabv3 network is proposed. Firstly, the Deeplabv3 network is used to extract rural land information in remote sensing images, a channel attention mechanism is introduced into the network, and connecting it in parallel with the atous spatial pyram

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RURAL LAND INFORMATION EXTRACTION BASED ON IMPROVED DEEELABV3 NETWORK IN HIGH R

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