Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification

High-resolution deep-learning-based remote-sensing imagery analysis has been widely used in land-use and crop-classification mapping. However, the influence of composite feature bands, including complex feature indices arising from different sensors on the backbone, patch size, and predictions in tr...

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Bibliographic Details
Main Authors: Lijun Wang, Jiayao Wang, Zhenzhen Liu, Jun Zhu, Fen Qin
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-10-01
Series:Crop Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214514122000411