Integrating Random Forest With Boundary Enhancement for Mapping Crop Planting Structure at the Parcel Level From Remote Sensing Images

Accurately and efficiently obtaining crop planting structure information is critical for precision agriculture. However, the current methods for mapping crop planting structure primarily use image pixels as the classification units, easily leading to blurred and fragmented boundaries and the salt-an...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Junyang Xie, Yan Li, Hao Wu, Ziwei Wu, Ruina Zhao, Anqi Lin, Marcos Adami, Guoqiang Li, Jian Zhang
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2025-01-01
Σειρά:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Θέματα:	Crop planting structure deep learning farmland parcel extraction parcel level random forest (RF) remote sensing
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/10938894/
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