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

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