A Novel Deeplabv3+ Network for SAR Imagery Semantic Segmentation Based on the Potential Energy Loss Function of Gibbs Distribution

A Novel Deeplabv3+ Network for SAR Imagery Semantic Segmentation Based on the Potential Energy Loss Function of Gibbs Distribution

Synthetic aperture radar (SAR) provides rich information about the Earth’s surface under all-weather and day-and-night conditions, and is applied in many relevant fields. SAR imagery semantic segmentation, which can be a final product for end users and a fundamental procedure to support other applic...

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Bibliographic Details
Main Authors: Yingying Kong, Yanjuan Liu, Biyuan Yan, Henry Leung, Xiangyang Peng
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
SAR
semantic image segmentation
Deeplabv3+
potential energy loss function
Gibbs distribution
neighborhood system
Online Access:https://www.mdpi.com/2072-4292/13/3/454

Internet

https://www.mdpi.com/2072-4292/13/3/454

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