DSSM: A Deep Neural Network with Spectrum Separable Module for Multi-Spectral Remote Sensing Image Segmentation

Over the past few years, deep learning algorithms have held immense promise for better multi-spectral (MS) optical remote sensing image (RSI) analysis. Most of the proposed models, based on convolutional neural network (CNN) and fully convolutional network (FCN), have been applied successfully on co...

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Principais autores:	Hongming Zhu, Rui Tan, Letong Han, Hongfei Fan, Zeju Wang, Bowen Du, Sicong Liu, Qin Liu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2022-02-01
Serija:	Remote Sensing
Teme:	deep neural network image segmentation multi-spectral images spectrum separable
Online dostop:	https://www.mdpi.com/2072-4292/14/4/818
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