未登录
分享
收藏
分享
收藏
分享
收藏
分享
收藏Advancing UAV-based wheat phenology monitoring: A dual-mode framework integrating time-series reconstruction, noise augmentation, and deep learning for robust BBCH estimation基于无人机的小麦物候监测进展:一种集成时间序列重构、噪声增强和深度学习的双模框架,用于鲁棒BBCH估计
Feng, Ziheng; Zhao, Ziya; Suo, Liunan; Long, Huiling; Yang, Hao; Song, Xiaoyu; Feng, Haikuan; Xu, Bo; Ma, Xinming; Feng, Wei
分享
收藏
分享
收藏
分享
收藏
分享
收藏Estimation of maize LCC and FVC for full growth periods based on UAV remote sensing and ensemble learning基于无人机遥感和集成学习的玉米全生育期LCC和FVC估算
Yao, Yihan; Wang, Dong; Shu, Meiyan; Hu, Jingyu; Liu, Yang; Feng, Haikuan; Li, Bing; Lu, Wanyun; Wang, Jian; Xi, Lei; Che, Yinchao; Shi, Lei
分享
收藏
分享
收藏
分享
收藏
分享
收藏
分享
收藏
分享
收藏
分享
收藏
分享
收藏
分享
收藏Fine-scale classification of horticultural crops using Sentinel-2 time-series images in Linyi country, China基于Sentinel-2时间序列影像的临沂县园艺作物精细分类
Chen, Riqiang; Xiong, Shuping; Zhang, Na; Fan, Zehua; Qi, Ning; Fan, Yiguang; Feng, Haikuan; Ma, Xinming; Yang, Hao; Yang, Guijun; Cheng, Jinpeng
分享
收藏
分享
收藏