Classification of Paddy Rice Planting Area Through Feature Selection Method Using Sentinel-1/2 Time Series Images

Classification of Paddy Rice Planting Area Through Feature Selection Method Using Sentinel-1/2 Time Series Images

Utilizing remote sensing technology to accurately and efficiently extract paddy rice planting area is crucial for ensuring food security. In southern Jiangsu, cloudy and rainy weather impairs the effectiveness of optical satellite images, while complex surface coverage reduces the precision of paddy...

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Bibliographic Details
Main Authors: Shiyu Zhang, Pengao Li, Yong Xie, Wen Shao, Xueru Tian
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Feature selection
machine learning algorithms
paddy rice
time series
Online Access:https://ieeexplore.ieee.org/document/10934737/
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