EMHANet: Lightweight Salient Object Detection for Remote Sensing Images via Edge-Aware Multiscale Feature Fusion

EMHANet: Lightweight Salient Object Detection for Remote Sensing Images via Edge-Aware Multiscale Feature Fusion

Salient object detection in remote sensing images (RSI-SOD) aims to identify visually prominent objects by mimicking human visual perception. While convolutional neural networks (CNNs) have significantly improved detection accuracy, most RSI-SOD methods suffer from high computational costs and large...

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Bibliographic Details
Main Authors: Qian Tang, Zhen Wang, Xuqi Wang, Shan-Wen Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Remote sensing
salient detection
edge features
multi-scale fusion
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/10980003/
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https://ieeexplore.ieee.org/document/10980003/

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