Frequency and Texture Aware Multi-Domain Feature Fusion for Remote Sensing Scene Classification

Frequency and Texture Aware Multi-Domain Feature Fusion for Remote Sensing Scene Classification

Remote Sensing (RS) scene classification, a pivotal task in Earth observation, involves categorizing satellite or aerial imagery into distinct land-use and land-cover classes. Major challenges in this task include high intraclass variability and low interclass distinctions. Historically, state-of-th...

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Bibliographic Details
Main Authors: Russo Ashraf, Kang-Hyun Jo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks (CNNs)
frequency analysis
large kernel attention (LKA)
multi domain
remote sensing (RS)
scene classification
Online Access:https://ieeexplore.ieee.org/document/10815958/
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