TransRA: transformer and residual attention fusion for single remote sensing image dehazing

• Published in: Multidimensional systems and signal processing Vol. 33; no. 4; pp. 1119 - 1138
• Main Authors: Dong, Pengwei, Wang, Bo
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2022; Springer Nature B.V
• Subjects: Artificial Intelligence; Circuits and Systems; Coders; Deep learning; Electrical Engineering; Engineering; Haze; Image classification; Image quality; Machine learning; Neural networks; Remote sensing; Signal,Image and Speech Processing; Transformers; Residual attention; Fusion block; Remote sensing images; Transformer dehazing

Haze seriously reduces the quality of optical remote sensing images, resulting in poor performance in many applications, such as remote sensing image change detection and classification. In recent years, deep learning models have achieved convincing performance in image dehazing, which has attracted...