Object Extraction From Very High-Resolution Images Using a Convolutional Neural Network Based on a Noisy Large-Scale Dataset

In recent years, convolutional neural networks (CNNs) have made great achievements in object extraction from very high-resolution (VHR) images. However, most existing approaches require large quantities of clean and accurate training data to achieve impressive classification results. The presence of...

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主要な著者:	Panle Li, Xiaohui He, Xijie Cheng, Xu Gao, Runchuan Li, Mengjia Qiao, Daidong Li, Fangbing Qiu, Zhiqiang Li
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2019-01-01
シリーズ:	IEEE Access
主題:	Convolutional neural networks (CNNs) object extraction label noise noisy label distribution
オンライン･アクセス:	https://ieeexplore.ieee.org/document/8819957/
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