Scattering Intensity Analysis and Classification of Two Types of Rice Based on Multi-Temporal and Multi-Mode Simulated Compact Polarimetric SAR Data

Because transmitting polarization can be an arbitrary elliptical wave, and theoretically, there are numerous possibilities of hybrid dual-pol modes, therefore, it is necessary to explore the feature recognition and classification ability of compact polarimetric (CP) parameters under different transm...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2022-04, Vol.14 (7), p.1644
Main Authors: Guo, Xianyu, Yin, Junjun, Li, Kun, Yang, Jian, Shao, Yun
Format: Article
Language:English
Subjects:
Classification
compact polarimetric (CP) SAR
Decision trees
Elongation
Feature recognition
Flowering
Global positioning systems
GPS
multi-mode and classification
Object recognition
Parameters
Phenology
Polarimetry
Remote sensing
Rice
Scattering
scattering intensity
Seedlings
Synthetic aperture radar
Transmission
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Summary:Because transmitting polarization can be an arbitrary elliptical wave, and theoretically, there are numerous possibilities of hybrid dual-pol modes, therefore, it is necessary to explore the feature recognition and classification ability of compact polarimetric (CP) parameters under different transmitting and receiving modes to different ground objects. In this paper, we first simulated, extracted, and analyzed the scattering intensity of two types of rice of six temporal CP synthetic aperture radar (SAR) data under three transmitting modes. Then, during different phenology stages, the optimal parameters for distinguishing transplanting hybrid rice (T–H) and direct-sown japonica rice (D–J) were acquired. Finally, a decision tree classification model was established based on the optimal parameters to carry out the fine classification of the two types of rice and to verify the results. The results showed that this strategy can obtain a high classification accuracy for the two types of rice with an overall classification accuracy of more than 95% and a kappa coefficient of more than 0.94. In addition, and importantly, we found that the CP parameters in the 1103 period (harvest stage) were the best CP parameters to distinguish the two types of rice, followed by the 0730 (seedling–elongation stage), 0612 (seedling stage), and 0916 (heading–flowering stage) periods.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14071644