FINE CLASSIFICATION OF POLSAR LAND COVER TYPES BASED ON MULTI-BAND

被引：0

作者：

Han, Fangzhou ^{[1
]}

Liu, Tianci ^{[1
]}

Zhang, Lamei ^{[1
]}

Fang, Shang ^{[2
]}

机构：

[1] Harbin Inst Technol, Dept Informat Engn, Harbin 150001, Peoples R China

[2] Univ Electrocommun, Dept Comp & Network Engn, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

关键词：

multi-band PolSAR; polarimetric target decomposition method; scattering characteristic; PolSAR terrain surface classification;

D O I：

10.1109/IGARSS52108.2023.10282348

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Considering the distinct scattering characteristics observed in diverse frequency bands for terrain surfaces, the utilization of complementary information from multi-band PolSAR data proves advantageous in effectively distinguishing targets that may present challenges when assessed in isolation within a single band. In this study, we employ the polarimetric target decomposition methods to investigate the scattering characteristics of representative targets within the C and L bands. Based on these findings, we construct a random forest fine classification model specifically tailored for different types of urban vegetation. Notably, experimental results demonstrate a noteworthy enhancement in classification accuracy following the integration of multi-band data.

引用

页码：8030 / 8033

页数：4

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