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🛰 Aerial Image Segmentation
Semantic segmentation on buildings based on the INRIA the INRIA Aerial Image Labeling Dataset using neural network
2019本科毕业设计:基于UNet的遥感图像语义分割
We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.
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