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

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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Bibliographic Details
Main Authors: Hongming Zhu, Rui Tan, Letong Han, Hongfei Fan, Zeju Wang, Bowen Du, Sicong Liu, Qin Liu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Remote Sensing
Subjects:
deep neural network
image segmentation
multi-spectral images
spectrum separable
Online Access:https://www.mdpi.com/2072-4292/14/4/818

Internet

https://www.mdpi.com/2072-4292/14/4/818

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