Cloud and Snow Identification Based on DeepLab V3+ and CRF Combined Model for GF-1 WFV Images

Cloud and Snow Identification Based on DeepLab V3+ and CRF Combined Model for GF-1 WFV Images

Cloud and snow identification in remote sensing images is critical for snow mapping and snow hydrology research. Aimed at the problem that the semantic segmentation model is prone to producing blurred boundaries, slicing traces and isolated small patches for cloud and snow identification in high-res...

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Bibliographic Details
Main Authors: Zuo Wang, Boyang Fan, Zhengyang Tu, Hu Li, Donghua Chen
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
cloud and snow identification
semantic segmentation
deep neural network
DeepLab v3+
conditional random field
GF-1 image
Online Access:https://www.mdpi.com/2072-4292/14/19/4880

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https://www.mdpi.com/2072-4292/14/19/4880

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