MCNet: Multi-Scale Feature Extraction and Content-Aware Reassembly Cloud Detection Model for Remote Sensing Images

MCNet: Multi-Scale Feature Extraction and Content-Aware Reassembly Cloud Detection Model for Remote Sensing Images

Cloud detection plays a vital role in remote sensing data preprocessing. Traditional cloud detection algorithms have difficulties in feature extraction and thus produce a poor detection result when processing remote sensing images with uneven cloud distribution and complex surface background. To ach...

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Bibliographic Details
Main Authors: Ziqiang Yao, Jinlu Jia, Yurong Qian
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Symmetry
Subjects:
cloud detection
convolutional neural network
multi-scale feature extraction
content-aware reassembly
deep learning
Online Access:https://www.mdpi.com/2073-8994/13/1/28

Internet

https://www.mdpi.com/2073-8994/13/1/28

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