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
[21]   Polarimetric scattering indexes and information entropy of the SAR imagery for surface monitoring [J].
Jin, YQ ;
Chen, F .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (11) :2502-2506
[22]   Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data [J].
Kussul, Nataliia ;
Lemoine, Guido ;
Gallego, Francisco Javier ;
Skakun, Sergii V. ;
Lavreniuk, Mykola ;
Shelestov, Andrii Yu. .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (06) :2500-2508
[23]   Support Vector Machine for Multifrequency SAR Polarimetric Data Classification [J].
Lardeux, Cedric ;
Frison, Pierre-Louis ;
Tison, Celine ;
Souyris, Jean-Claude ;
Stoll, Benoit ;
Fruneau, Benedicte ;
Rudant, Jean-Paul .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (12) :4143-4152
[24]   Generalized Polarimetric Model-Based Decompositions Using Incoherent Scattering Models [J].
Lee, Jong-Sen ;
Ainsworth, Thomas L. ;
Wang, Yanting .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (05) :2474-2491
[25]   Unsupervised classification using polarimetric decomposition and the complex Wishart classifier [J].
Lee, JS ;
Grunes, MR ;
Ainsworth, TL ;
Du, LJ ;
Schuler, DL ;
Cloude, SR .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1999, 37 (05) :2249-2258
[26]   CLASSIFICATION OF MULTI-LOOK POLARIMETRIC SAR IMAGERY-BASED ON COMPLEX WISHART DISTRIBUTION [J].
LEE, JS ;
GRUNES, MR ;
KWOK, R .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1994, 15 (11) :2299-2311
[27]   Sea Ice Characterization and Classification Using Hybrid Polarimetry SAR [J].
Li, Haiyan ;
Perrie, William .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (11) :4998-5010
[28]   Algorithm for Sea Surface Wind Retrieval From TerraSAR-X and TanDEM-X Data [J].
Li, Xiao-Ming ;
Lehner, Susanne .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (05) :2928-2939
[29]   Multiyear Crop Monitoring Using Polarimetric RADARSAT-2 Data [J].
Liu, Chen ;
Shang, Jiali ;
Vachon, Paris W. ;
McNairn, Heather .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2013, 51 (04) :2227-2240
[30]   Contribution of L-band SAR to systematic global mangrove monitoring [J].
Lucas, Richard ;
Rebelo, Lisa-Maria ;
Fatoyinbo, Lola ;
Rosenqvist, Ake ;
Itoh, Takuya ;
Shimada, Masanobu ;
Simard, Marc ;
Souza-Filho, Pedro Walfir ;
Thomas, Nathan ;
Trettin, Carl ;
Accad, Arnon ;
Carreiras, Joao ;
Hilarides, Lammert .
MARINE AND FRESHWATER RESEARCH, 2014, 65 (07) :589-603