Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific Enhancement
Super-resolution (SR) is able to improve the spatial resolution of remote sensing images, which is critical for many practical applications such as fine urban monitoring. In this paper, a new single-image SR method, deep gradient-aware network with image-specific enhancement (DGANet-ISE) was propose...
Main Authors: | Mengjiao Qin, Sébastien Mavromatis, Linshu Hu, Feng Zhang, Renyi Liu, Jean Sequeira, Zhenhong Du |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-02-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/5/758 |
Similar Items
-
Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution Method
by: Mengjiao Qin, et al.
Published: (2020-06-01) -
Spectral and spatial super-resolution method for Earth remote sensing image fusion
by: Aleksandr Belov, et al.
Published: (2018-10-01) -
RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images
by: Linshu Hu, et al.
Published: (2021-12-01) -
A Building Segmentation Network Based on Improved Spatial Pyramid in Remote Sensing Images
by: Hao Bai, et al.
Published: (2021-05-01) -
Multi-Frame Super-Resolution Reconstruction Based on Gradient Vector Flow Hybrid Field
by: Shuying Huang, et al.
Published: (2017-01-01)