Panchromatic Image Super-Resolution Via Self Attention-Augmented Wasserstein Generative Adversarial Network
Panchromatic (PAN) images contain abundant spatial information that is useful for earth observation, but always suffer from low-resolution ( LR) due to the sensor limitation and large-scale view field. The current super-resolution (SR) methods based on traditional attention mechanism have shown rema...
Main Authors: | Juan Du, Kuanhong Cheng, Yue Yu, Dabao Wang, Huixin Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/6/2158 |
Similar Items
-
WGCAMNet: Wasserstein Generative Adversarial Network Augmented and Custom Attention Mechanism Based Deep Neural Network for Enhanced Brain Tumor Detection and Classification
by: Fatema Binte Alam, et al.
Published: (2024-09-01) -
Image Fusion for High-Resolution Optical Satellites Based on Panchromatic Spectral Decomposition
by: Luxiao He, et al.
Published: (2019-06-01) -
Multi-Frame Super-Resolution Algorithm Based on a WGAN
by: Keqing Ning, et al.
Published: (2021-01-01) -
New classes of panchromatic digraphs
by: Hortensia Galeana-Sánchez, et al.
Published: (2015-11-01) -
Fusion Network for Change Detection of High-Resolution Panchromatic Imagery
by: Wahyu Wiratama, et al.
Published: (2019-04-01)