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Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data
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Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data

Valentin Barrière
M. Claverie
M. Schneider
G. Lemoine
R. d’Andrimont
ArXiv (abs)PDFHTML

Papers citing "Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data"

3 / 3 papers shown
Title
AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Crop Mapping
AgriFM: A Multi-source Temporal Remote Sensing Foundation Model for Crop Mapping
Wenyuan Li
Shunlin Liang
Keyan Chen
Yongzhe Chen
Han Ma
Jianglei Xu
Yichuan Ma
Shikang Guan
Husheng Fang
Z. Shi
43
0
0
27 May 2025
Plantation Monitoring Using Drone Images: A Dataset and Performance Review
Plantation Monitoring Using Drone Images: A Dataset and Performance Review
Yashwanth Karumanchi
Gudala Laxmi Prasanna
Snehasis Mukherjee
Nagesh Kolagani
257
0
0
12 Feb 2025
Deep Learning for Satellite Image Time Series Analysis: A Review
Deep Learning for Satellite Image Time Series Analysis: A Review
Lynn Miller
Charlotte Pelletier
Geoffrey I. Webb
87
26
0
05 Apr 2024

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