Assessment of spectral variation between rice canopy components using spectral feature analysis of near-ground hyperspectral imaging data-Reference-Cited by-同舟云学术

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Assessment of spectral variation between rice canopy components using spectral feature analysis of near-ground hyperspectral imaging data

Published:2016-08 Issue: Volume: Page:
ISSN:
Container-title:2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Author:

Zhou Kai,Cheng Tao,Deng Xinqiang,Yao Xia,Tian Yongchao,Zhu Yan,Cao Weixing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8053879/8071655/08071699.pdf?arnumber=8071699

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HCMA: Hybrid-Convolutional Multi-Attention;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

2. Joint Spatial-Spectral Pattern Optimization and Hyperspectral Image Reconstruction;IEEE Journal of Selected Topics in Signal Processing;2022-06

3. Multiscale Adaptive Convolution for Hyperspectral Image Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

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