Winter wheat leaf area index inversion by the genetic algorithms neural network model based on SAR data-Reference-Cited by-同舟云学术

Winter wheat leaf area index inversion by the genetic algorithms neural network model based on SAR data

Published:2022-02-10 Issue:1 Volume:15 Page:362-380
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Lu Xiaoping¹,Wang Xiaoxuan¹,Zhang Xiangjun²,Wang Jun²,Yang Zenan¹

Affiliation:

1. Key Laboratory of Spatio-Temporal Information and Ecological Restoration of Mines of Natural Resources of the People's Republic of China, Henan Polytechnic University, Jiaozuo, People’s Republic of China

2. Institute of Remote Sensing and Surveying and Mapping, Zhengzhou, People’s Republic of China

Funder

National Key Research and Development Plan

Research on Key Technology of Agricultural Remote Sensing Monitoring

Henan Provincial University

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2022.2028913

Reference34 articles.

1. HSSAGA: Designation and scheduling of nurses for taking care of COVID-19 patients using novel method of Hybrid Salp Swarm Algorithm and Genetic Algorithm

2. Novel textual entailment technique for the Arabic language using genetic algorithm

3. Genetic-algorithm-based global design optimization of tree-type robotic systems involving exponential coordinates

4. Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring

5. Vegetation modeled as a water cloud

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