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RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased Semantic Segmentation. (arXiv:2109.09148v2 [cs.CV] UPDATED)
cs.CV updates on arXiv.org arxiv.org
For semantic segmentation of remote sensing images (RSI), trade-off between
representation power and location accuracy is quite important. How to get the
trade-off effectively is an open question,where current approaches of utilizing
very deep models result in complex models with large memory consumption. In
contrast to previous work that utilizes dilated convolutions or deep models, we
propose a novel two-stream deep neural network for semantic segmentation of RSI
(RSI-Net) to obtain improved performance through modeling and propagating
spatial contextual structure …
arxiv cv deep neural network network neural network remote segmentation semantic sensing