Crop Classification Based on Differential Characteristics of H/α Scattering Parameters for Multitemporal Quad- and Dual-Polarization SAR Images

被引:32
作者
Guo, Jiao [1 ,2 ,3 ]
Wei, Peng-Liang [1 ]
Liu, Jian [1 ]
Jin, Biao [1 ,2 ,3 ]
Su, Bao-Feng [1 ,2 ,3 ]
Zhou, Zheng-Shu [4 ]
机构
[1] Northwest A&F Univ, Coll Mech & Elect Engn, Yangling 712100, Shaanxi, Peoples R China
[2] Minist Agr, Key Lab Agr Internet Things, Yangling 712100, Shaanxi, Peoples R China
[3] Shaanxi Key Lab Agr Informat Percept & Intelligen, Yangling 712100, Shaanxi, Peoples R China
[4] CSIRO, Data61, Floreat, WA 6014, Australia
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2018年 / 56卷 / 10期
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
H/alpha decomposition; crop classification; differential characteristics; multitemporal; polarimetric synthetic aperture radar (PolSAR); quad and dual polarization; LAND-COVER; UNSUPERVISED CLASSIFICATION; L-BAND; MODEL; DECOMPOSITION; ENTROPY; MECHANISMS;
D O I
10.1109/TGRS.2018.2832054
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Crop-type classification is one of the most significant applications in polarimetric synthetic aperture radar (PolSAR) imagery. As a remote sensing technique, PolSAR has been proved to have the ability to provide high-resolution information of illustrated objects. However, single-temporal PolSAR data are restricted to provide sufficient information for crop identification due to the complicated condition of varying morphology within various growing stages. With an increasing number of spaceborne PolSAR systems launched, a large amount of real PolSAR data are being generated and used to provide great opportunities for multitemporal analysis. The main contribution of this paper is to improve crop classification accuracy with various features of classical H/alpha parameters. First, in order to deal with dual-PolSAR data, H/alpha decomposition algorithm for quad-PolSAR is modified to suit to the case of dual polarization. Second, according to the differential scattering characteristics of main crops, a new parameter is innovatively defined to measure the differential characteristics in the H/alpha classification plane. Third, crop types are discriminated by applying a supervised classification method with the newly defined parameter. Furthermore, the correctness of the parameter is verified with simulated and real Sentinel-1 data as well as AirSAR data. Finally, the performances of the classification method are investigated by the comparison with complex Wishart, Freeman-Wishart, and support vector machine (SVM) classifiers. Hence, the experimental results show that the proposed method and SVM classifier with the newly defined parameter have the ability to improve crop classification accuracy.
引用
收藏
页码:6111 / 6123
页数:13
相关论文
共 48 条
[11]   General Polarimetric Model-Based Decomposition for Coherency Matrix [J].
Chen, Si-Wei ;
Wang, Xue-Song ;
Xiao, Shun-Ping ;
Sato, Motoyuki .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (03) :1843-1855
[12]   An entropy based classification scheme for land applications of polarimetric SAR [J].
Cloude, SR ;
Pottier, E .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1997, 35 (01) :68-78
[13]   Deriving Maximum Light Use Efficiency From Crop Growth Model and Satellite Data to Improve Crop Biomass Estimation [J].
Dong, Taifeng ;
Liu, Jiangui ;
Qian, Budong ;
Jing, Qi ;
Croft, Holly ;
Chen, Jingming ;
Wang, Jinfei ;
Huffman, Ted ;
Shang, Jiali ;
Chen, Pengfei .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 10 (01) :104-117
[14]   THE PHENOLOGY OF AN AGRICULTURAL REGION AS EXPRESSED BY POLARIMETRIC DECOMPOSITION AND VEGETATION INDICES [J].
Engelbrecht, Jeanine ;
Kemp, Jaco ;
Inggs, Michael .
2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, :3339-3342
[15]   Combination of H-Alpha Decomposition and Migration for Enhancing Subsurface Target Classification of GPR [J].
Feng, Xuan ;
Yu, Yue ;
Liu, Cai ;
Fehler, Michael .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (09) :4852-4861
[16]   Experimental and model investigation on radar classification capability [J].
Ferrazzoli, P ;
Guerriero, L ;
Schiavon, G .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1999, 37 (02) :960-968
[17]   A three-component scattering model for polarimetric SAR data [J].
Freeman, A ;
Durden, SL .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36 (03) :963-973
[18]   Rice Mapping Using RADARSAT-2 Dual- and Quad-Pol Data in a Complex Land-Use Watershed: Cau River Basin (Vietnam) [J].
Hoang, Huong Kim ;
Bernier, Monique ;
Duchesne, Sophie ;
Tran, Y. Minh .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (07) :3082-3096
[19]   CaSCADE: Compressed Carrier and DOA Estimation [J].
Ioushua, Shahar Stein ;
Yair, Or ;
Cohen, Deborah ;
Eldar, Yonina C. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2017, 65 (10) :2645-2658
[20]   A New Method for Land Cover Characterization and Classification of Polarimetric SAR Data Using Polarimetric Signatures [J].
Jafari, Mohsen ;
Maghsoudi, Yasser ;
Zoej, Mohammad Javad Valadan .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (07) :3595-3607