Remote Sensing Image Classification Based on Multi-Spectral Cross-Sensor Super-Resolution Combined With Texture Features: A Case Study in the Liaohe Planting Area

High-resolution (HR) optical remote sensing images are typically small in swath and, due to cloud cover, their revisit period, mosaic error, and other problems, it is often infeasible to obtain a large range of remote sensing images for a study area. Meanwhile, low-resolution (LR) satellite images s...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Hao Han, Ziyi Feng, Wen Du, Sien Guo, Peng Wang, Tongyu Xu
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Super-resolution deep learning generative adversarial network land use and land cover multi-spectral remote sensing
Online Access:	https://ieeexplore.ieee.org/document/10414975/