A Multi-Temporal Network for Improving Semantic Segmentation of Large-Scale Landsat Imagery

A Multi-Temporal Network for Improving Semantic Segmentation of Large-Scale Landsat Imagery

With the development of deep learning, semantic segmentation technology has gradually become the mainstream technical method in large-scale multi-temporal landcover classification. Large-scale and multi-temporal are the two significant characteristics of Landsat imagery. However, the mainstream sing...

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Bibliographic Details
Main Authors: Xuan Yang, Bing Zhang, Zhengchao Chen, Yongqing Bai, Pan Chen
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
deep learning
semantic segmentation
multi-temporal
large-scale
chained deduced classification strategy
Landsat
Online Access:https://www.mdpi.com/2072-4292/14/19/5062

Internet

https://www.mdpi.com/2072-4292/14/19/5062

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