LQ-MixerNeT: A CNN-Transformer Deep Fusion-Based Model for Object Detection in Optical Remote Sensing Images

LQ-MixerNeT: A CNN-Transformer Deep Fusion-Based Model for Object Detection in Optical Remote Sensing Images

To address the challenges of low detection accuracy in optical remote sensing images (RSIs) caused by densely distributed targets, extreme scale variations, and insufficient feature representation of small objects, this paper proposes LQ-MixerNeT, a novel CNN-Transformer hybrid framework with deep f...

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Bibliographic Details
Main Authors: Wenxuan Zheng, Ying Yang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Transformer
optical remote sensing
object detection
feature fusion
Online Access:https://ieeexplore.ieee.org/document/11002868/
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https://ieeexplore.ieee.org/document/11002868/

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