Small-Object Semantic Segmentation of Satellite Ship Images Using Modified U-Net With Morphological Loss

Satellite aerial images have been successfully used for many applications. However, it is still challenging to detect small objects due to low-resolution and environmental conditions. To overcome this challenge, we propose segmentation methods using atrous spatial pyramid pooling (ASPP) and modified...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	D. Shim, C. Lee
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Atrous convolution satellite aerial image ship detection semantic segmentation
Online Access:	https://ieeexplore.ieee.org/document/10872840/