Work

A Super-Resolution Generative Adversarial Network for Remote Sensing Images Based on Improved Residual Module and Attention Mechanism

Year: 2025

Type: article

Abstract: High-resolution remote sensing imagery is essential for critical applications such as precision agriculture, urban management planning, and military reconnaissance. Although significant progress has been made in single-image ... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.068880

Authors: Yifan Zhang, Yong Gan, Mengke Tang, Xinxin Gan

Institutions: Zhengzhou University of Light Industry, Zhengzhou University of Technology

Language: English

Topic: Advanced Image Processing Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W7083018572

FWCI:

Cites:

Cited by:

Related to: