MLFMNet: A Multilevel Feature Mining Network for Semantic Segmentation on Aerial Images

Semantic segmentation of aerial images is crucial in various practical applications, encompassing traffic management, search tasks, urban planning, and more. However, due to the unique shooting angles of aerial images, there are significant challenges in accurately segmenting objects, including larg...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Xinyu Wei, Lei Rao, Guangyu Fan, Niansheng Chen
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Aerial images convolutional neural networks (CNNs) semantic segmentation
Online Access:	https://ieeexplore.ieee.org/document/10660546/