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....

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Bibliographic Details
Main Authors: Rongsheng Dong, Xiaoquan Pan, Fengying Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8718619/