Comparison between back propagation neural network and regression models for the estimation of pigment content in rice leaves and panicles using hyperspectral data
Author:
Affiliation:
1. a Institute of Agricultural Remote Sensing and Information Application , Huajiachi Campus , Zhejiang University , 310029, 268 Kaixuan Road, Hangzhou, China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431160601024242
Reference64 articles.
1. Predictive non-linear modeling of complex data by artificial neural networks
2. Introduction Neural networks in remote sensing
3. Bai , B. Z. and Tang , X. J. 1993. Analysis Methods of Plant Physiology, 3–5. Beijing: Press of Science and Technology of China. (in Chinese)
4. Remote Sensing of Chlorophyll a, Chlorophyll b, Chlorophyll a+b, and Total Carotenoid Content in Eucalyptus Leaves
5. Quantifying Chlorophylls and Caroteniods at Leaf and Canopy Scales
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