Automatic Crop Classification Based on Optimized Spectral and Textural Indexes Considering Spatial Heterogeneity

Automatic Crop Classification Based on Optimized Spectral and Textural Indexes Considering Spatial Heterogeneity

Crop recognition with high accuracy at a large scale is hampered by the spatial heterogeneity of crop growth characteristics under the complex influence of environmental conditions. With the aim to automatically realize large-scale crop classification with high accuracy, this study proposes an autom...

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Bibliographic Details
Main Authors: Xiaomi Wang, Jiuhong Liu, Peng Peng, Yiyun Chen, Shan He, Kang Yang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
crop classification
spatial heterogeneity
automatic
spectral indexes
textural indexes
Online Access:https://www.mdpi.com/2072-4292/15/23/5550

Internet

https://www.mdpi.com/2072-4292/15/23/5550

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