Amanote Research
Register
Sign In
Deep Residual Squeeze and Excitation Network for Remote Sensing Image Super-Resolution
Remote Sensing
- Switzerland
doi 10.3390/rs11151817
Full Text
Open PDF
Abstract
Available in
full text
Categories
Earth
Planetary Sciences
Date
August 3, 2019
Authors
Jun Gu
Xian Sun
Yue Zhang
Kun Fu
Lei Wang
Publisher
MDPI AG
Related search
Image Super-Resolution Reconstruction Based on Deep Residual Network
Transferred Multi-Perception Attention Networks for Remote Sensing Image Super-Resolution
Remote Sensing
Earth
Planetary Sciences
Infrared Image Super Resolution by Combining Compressive Sensing and Deep Learning
Sensors
Instrumentation
Information Systems
Electronic Engineering
Biochemistry
Analytical Chemistry
Molecular Physics,
Electrical
Atomic
Medicine
Optics
Single-Image Super Resolution for Multispectral Remote Sensing Data Using Convolutional Neural Networks
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Correction: Hu, J., Et Al. Hyperspectral Image Super-Resolution by Deep Spatial-Spectral Exploitation. Remote Sensing 2019, 11, 1229
Remote Sensing
Earth
Planetary Sciences
Deep Convolutional Neural Network Based on Densely Connected Squeeze-And-Excitation Blocks
AIP Advances
Nanotechnology
Astronomy
Physics
Nanoscience
Change Detection in Remote Sensing Images Based on Image Mapping and a Deep Capsule Network
Remote Sensing
Earth
Planetary Sciences
Learning a Mixture of Deep Networks for Single Image Super-Resolution
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Improved Urban Flooding Mapping From Remote Sensing Images Using Generalized Regression Neural Network-Based Super-Resolution Algorithm
Remote Sensing
Earth
Planetary Sciences