DenseU-Net-Based Semantic Segmentation of Small Objects in Urban Remote Sensing Images
Class imbalance is a serious problem that plagues the semantic segmentation task in urban remote sensing images. Since large object classes dominate the segmentation task, small object classes are usually suppressed, so the solutions based on optimizing the overall accuracy are often unsatisfactory....
Main Authors: | Rongsheng Dong, Xiaoquan Pan, Fengying Li |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8718619/ |
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