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

共 50 条

[31] Land cover classification of polarimetric synthetic aperture radar (POLSAR) data based on scattering mechanisms and complex wishart distribution
Lee, KY
Liew, SC
Kwoh, LK
IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 2602 - 2604
[32] Land Use/Land Cover Classification Based on Multi-resolution Remote Sensing Data
Liu, Yuechen
Pei, Zhiyuan
Wu, Quan
Guo, Lin
Zhao, Hu
Chen, Xiwei
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE V, PT II, 2012, 369 : 340 - 350
[33] Unsupervised land cover classification using H/α-/TP space applied to POLSAR image analysis
Kimura, K
Yamaguchi, Y
Yamada, H
IEICE TRANSACTIONS ON COMMUNICATIONS, 2004, E87B (06) : 1639 - 1647
[34] Improving the Accuracy of Urban Land Cover Classification Using Radarsat-2 PolSAR Data
Salehi, Maryam
Sahebi, Mahmod Reza
Maghsoudi, Yasser
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (04) : 1394 - 1401
[35] PERFORMANCE ANALYSIS OF SPECKLE FILTERING ON SINGLE-LOOK POLSAR DATA FOR LAND COVER CLASSIFICATION
Sharma, Rakesh
Panigrahi, Rajib Kumar
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 2354 - 2357
[36] Epilepsy Electroencephalogram Signal Classification Method Based on Multi-Band Path Signature Features
Guo, Lihua
Yang, Hui
Wu, Qianyi
Mao, Haifeng
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2024, 52 (07): : 9 - 18
[37] STAR-GALAXY CLASSIFICATION IN MULTI-BAND OPTICAL IMAGING
Fadely, Ross
Hogg, David W.
Willman, Beth
ASTROPHYSICAL JOURNAL, 2012, 760 (01):
[38] METRIC LEARNING BASED FINE-GRAINED CLASSIFICATION FOR POLSAR IMAGERY
Ni, Jun
Jia, Yunzhe
Yin, Qiang
Zhou, Yongsheng
Zhang, Fan
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 716 - 719
[39] Permuted Spectral and Permuted Spectral-Spatial CNN Models for PolSAR-Multispectral Data based Land Cover Classification
Gopal Singh, Phartiyal
Bordu, Nicolas
Singh, Dharmendra
Yahia, Hussein
Daoudi, Khalid
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 42 (03) : 1096 - 1120
[40] A Uniplanar Multi-Band Antenna for The Metal Back Cover Tablet Computer Applications
Shen, Tsung-Yu
Su, Hsin-Lung
2019 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP 2019), 2019,

← 1 2 3 4 5 →