OBJECT BASED FUSION OF POLARIMETRIC SAR AND HYPERSPECTRAL IMAGING FOR LAND USE CLASSIFICATION

被引：0

作者：

Hu, Jingliang ^{[1
]}

Ghamisi, Pedram ^{[1
]}

Schmitt, Andreas ^{[2
]}

Zhu, Xiao Xiang ^{[1
,3
]}

机构：

[1] DLR German Aerosp Ctr, Remote Sensing Technol Inst, Munchener Str 22, D-82234 Wessling, Germany

[2] DLR German Aerosp Ctr, Remote Sensing Data Ctr, Munchener Str 22, D-82234 Wessling, Germany

[3] TUM, Signal Proc Earth Observat SiPEO, Munich, Germany

来源：

2016 8TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS) | 2016年

关键词：

PolSAR; hyperspectral image; fusion; classification;

D O I：

暂无

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

In this paper, we propose an object-based fusion approach for the joint use of polarimetric synthetic aperture radar (PolSAR) and hyperspectral data. The proposed approach extracts information from both datasets based on an object-level, which is used here for land use classification. The achieved classification result infers that the proposed methodology improves the classification performance of both hyperspectral and PolSAR data and can properly gather complementary information of the two kinds of dataset. The fusion approach also considers that only limited training samples are available, which is often the case in remote sensing.

引用

页数：5

共 50 条

[31] Classification of Arctic Coastal Land Covers with Polarimetric SAR Data
Banks, Sarah
Ullmann, Tobias
Roth, Achim
Schmitt, Andreas
Dech, Stefan
King, Doug
2013 IEEE RADAR CONFERENCE (RADAR), 2013,
[32] Urban land cover classification using polarimetric SAR interferometry
Li, Xinwu
Pottier, Eric
Guo, Huadong
Ferro-Famil, Laurent
SIXTH INTERNATIONAL SYMPOSIUM ON DIGITAL EARTH: DATA PROCESSING AND APPLICATIONS, 2010, 7841
[33] Projection pursuit classification of multiband polarimetric SAR land images
Trizna, DB
Bachmann, C
Sletten, M
Allan, N
Toporkov, J
Harris, R
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (11): : 2380 - 2386
[34] Fusion of airborne polarimetric and interferometric SAR for classification of coastal environments
Crawford, MM
Kumar, S
Ricard, MR
Gibeaut, JC
Neuenschwander, A
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1999, 37 (03): : 1306 - 1315
[35] Fusion of airborne polarimetric and interferometric SAR for classification of coastal environments
Crawford, Melba M.
IEEE Transactions on Geoscience and Remote Sensing, 1999, 37 (3 I): : 1306 - 1315
[36] A Comparative Review of Manifold Learning Techniques for Hyperspectral and Polarimetric SAR Image Fusion
Hu, Jingliang
Hong, Danfeng
Wang, Yuanyuan
Zhu, Xiao Xiang
REMOTE SENSING, 2019, 11 (06) : 1 - 28
[37] Impacts of Feature Normalization on Optical and SAR Data Fusion for Land Use/Land Cover Classification
Zhang, Hongsheng
Lin, Hui
Li, Yu
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 12 (05) : 1061 - 1065
[38] SoftFormer: SAR-optical fusion transformer for urban land use and land cover classification
Liu, Rui
Ling, Jing
Zhang, Hongsheng
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2024, 218 : 277 - 293
[39] Integration of Polarimetric Decomposition, Object-Oriented Image Analysis, and Decision Tree Algorithms for Land-Use and Land-Cover Classification using RADARSAT-2 Polarimetric SAR Data
Qi, Zhixin
Yeh, Anthony G. O.
Li, Xia
Lin, Zheng
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2012, 78 (02): : 169 - 181
[40] Fusion of Airborne SAR Image and Color aerial image for Land Use Classification
Zhu, Ruifang
MIPPR 2011: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS, 2011, 8006

← 1 2 3 4 5 →