National-Standards- and Deep-Learning-Oriented Raster and Vector Benchmark Dataset (RVBD) for Land-Use/Land-Cover Mapping in the Yangtze River Basin

National-Standards- and Deep-Learning-Oriented Raster and Vector Benchmark Dataset (RVBD) for Land-Use/Land-Cover Mapping in the Yangtze River Basin

A high-quality remote sensing interpretation dataset has become crucial for driving an intelligent model, i.e., deep learning (DL), to produce land-use/land-cover (LULC) products. The existing remote sensing datasets face the following issues: the current studies (1) lack object-oriented fine-graine...

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Bibliographic Details
Main Authors: Pengfei Zhang, Yijin Wu, Chang Li, Renhua Li, He Yao, Yong Zhang, Genlin Zhang, Dehua Li
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
remote sensing dataset
deep learning
soil water erosion assessment
object-oriented image classification
land-use/land-cover mapping
Online Access:https://www.mdpi.com/2072-4292/15/15/3907

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https://www.mdpi.com/2072-4292/15/15/3907

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