Hybrid Attention Based Residual Network for Pansharpening
Pansharpening aims at fusing the rich spectral information of multispectral (MS) images and the spatial details of panchromatic (PAN) images to generate a fused image with both high resolutions. In general, the existing pansharpening methods suffer from the problems of spectral distortion and lack o...
Main Authors: | Qin Liu, Letong Han, Rui Tan, Hongfei Fan, Weiqi Li, Hongming Zhu, Bowen Du, Sicong Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/10/1962 |
Similar Items
-
Locally Linear Detail Injection for Pansharpening
by: Junmin Liu, et al.
Published: (2017-01-01) -
Attention-Based Deep Feature Fusion for the Scene Classification of High-Resolution Remote Sensing Images
by: Ruixi Zhu, et al.
Published: (2019-08-01) -
Remote Sensing Image Super-Resolution via Residual Aggregation and Split Attentional Fusion Network
by: Long Chen, et al.
Published: (2021-01-01) -
A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment
by: Gemine Vivone, et al.
Published: (2021-01-01) -
A Multiscale Attention Network for Remote Sensing Scene Images Classification
by: Guokai Zhang, et al.
Published: (2021-01-01)