Large-Scale Crop Mapping Based on Multisource Remote Sensing Intelligent Interpretation: A Spatiotemporal Data Cubes Approach

Large-scale crop mapping not only requires high-quality remote sensing data, but also has high requirements for multisource data organization and interpretation. How to make full use of multisource remote sensing data and combine it with artificial intelligence algorithms has become a key solution f...

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Autori principali:	Jialin Sun, Xiaochuang Yao, Shuai Yan, Quan Xiong, Guoqing Li, Jianxi Huang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Deep learning large-scale crop mapping multisource remote sensing spatiotemporal data cubes
Accesso online:	https://ieeexplore.ieee.org/document/10599780/
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