Name
Title | ||
|---|---|---|
A convolution neural network for forest leaf chlorophyll and carotenoid estimation using hyperspectral reflectance |
Abstract | ||
|---|---|---|
•A CNN was proposed for leaf Cab and Cxc content estimation using one-dimensional hyperspectral reflectance at leaf scale.•A large amount of physical data was developed to strengthen the performance of the proposed CNN.•This study expands the application of the CNNs in one-dimensional hyperspectral reflectance;•The proposed CNN has the best accuracy and generalization for leaf Cab and Cxc content estimation. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.jag.2022.102719 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | DocType | Volume |
Convolutional neural network,Hyperspectral reflectance,PROSPECT-5,Leaf chlorophyll content,Leaf carotenoid content | Journal | 108 |
ISSN | Citations | PageRank |
1569-8432 | 0 | 0.34 |
References | Authors | |
0 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuo Shi | 1 | 10 | 6.43 |
| Lu Xu | 2 | 0 | 0.34 |
| Wei Gong | 3 | 104 | 32.67 |
| Bowen Chen | 4 | 0 | 0.34 |
| Biwu Chen | 5 | 0 | 0.34 |
| Fangfang Qu | 6 | 0 | 0.34 |
| Xingtao Tang | 7 | 0 | 0.34 |
| Jia Sun | 8 | 0 | 0.68 |
| Jian Yang | 9 | 0 | 0.34 |