RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Images-Based Semantic Segmentation

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 consu...

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Xehetasun bibliografikoak

Egile Nagusiak:	Shuang He, Xia Lu, Jason Gu, Haitong Tang, Qin Yu, Kaiyue Liu, Haozhou Ding, Chunqi Chang, Nizhuan Wang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2022-01-01
Saila:	IEEE Access
Gaiak:	Convolutional neural network (CNN) graph convolutional network (GCN) encoder decoder feature fusion semantic segmentation
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/9745103/
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