Polarimetric signature analysis of various crop-types using multi-source dual-frequency SAR data

被引:4
|
作者
Verma, Abhinav [1 ,2 ]
Haldar, Dipanwita [1 ]
Bhattacharya, Avik [2 ]
机构
[1] Indian Inst Remote Sensing IIRS ISRO, Agr & Soils Dept, Dehra Dun, Uttarakhand, India
[2] Indian Inst Technol, Microwave Remote Sensing Lab, Ctr Studies Resources Engn, Mumbai, Maharashtra, India
关键词
Polarimetric signature; crop characterization; differential response; dual-frequency; RADAR POLARIMETRY;
D O I
10.1080/10106049.2021.2007294
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The synthesized received power for every wave ellipticity (-45 degrees <= chi <= 45 degrees), and orientation (-90 degrees <= psi <= 90 degrees) angle describe the polarization signature (PS) of a target. Thus, it provides valuable information for target characterization. The PS of various crops at two frequencies (C- and L-band) is assessed in this study for various crops. It is observed that the volume scattering mechanism is mainly produced at C-band by the tall and medium height crops viz. Sugarcane, Maize and Finger Millet. The depolarized power is evident from such targets with the pedestal height (PH) (0 <= PH <= 1) values, ranging between 0.34 and 0.22. In contrast, we noticed that the surface scattering mechanism is dominant for short-height crops, such as Chilli, Turmeric and Paddy. It is also interesting to note the differential backscatter response for a few common polarization states widely varies for the two frequencies between -5.72 and -1.5 dB for Paddy, Sugarcane and Maize.
引用
收藏
页码:8860 / 8881
页数:22
相关论文
共 50 条
  • [1] Extraction and evaluation of polarimetric signature of various crop types using C-band and L-band fully polarimetric SAR data
    Verma, Abhinav
    Haldar, Dipanwita
    2020 IEEE INDIA GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (INGARSS), 2020, : 37 - 41
  • [2] Land-cover mapping using multitemporal, dual-frequency polarimetric SAR data
    Skriver, H
    Schou, J
    Dierking, W
    IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 331 - 333
  • [3] Dual frequency polarimetric sar data classification and analysis
    Ferro-Famil, L.
    Pottier, E.
    Progress in Electromagnetics Research, 2001, 31 : 247 - 272
  • [4] Dual frequency polarimetric SAR data classification and analysis
    Ferro-Famil, L.
    Pottier, E.
    Journal of Electromagnetic Waves and Applications, 2000, 14 (12) : 1671 - 1673
  • [5] Separability analysis of wetlands in Canada using multi-source SAR data
    Amani, Meisam
    Salehi, Bahram
    Mandavi, Sahel
    Brisco, Brian
    GISCIENCE & REMOTE SENSING, 2019, 56 (08) : 1233 - 1260
  • [6] Study on the forest observation in Kushiro wetland by using dual-frequency and fully polarimetric airborne SAR (Pi-SAR) data
    Nakamura, K
    Wakabayashi, H
    Shinsho, H
    Maeno, H
    Uratsuka, S
    Nadai, A
    Umehara, T
    Moriyama, T
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 2332 - 2335
  • [7] Classification of fully polarimetric single- and dual-frequency SAR data of sea ice using the Wishart statistics
    Scheuchl, Bernd
    Cumming, Ian
    Hajnsek, Irena
    CANADIAN JOURNAL OF REMOTE SENSING, 2005, 31 (01): : 61 - 72
  • [8] System and performance analysis for dual-frequency multi-polarization SAR
    Yang, RL
    Dai, BW
    Lei, H
    MICROWAVE REMOTE SENSING OF THE ATMOSPHERE AND ENVIRONMENT III, 2003, 4894 : 464 - 478
  • [9] Observation of sea-ice thickness in the Sea of Okhotsk by using dual-frequency and fully polarimetric airborne SAR (Pi-SAR) data
    Nakamura, K
    Wakabayashi, H
    Naoki, K
    Nishio, F
    Moriyama, T
    Uratsuka, S
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2005, 43 (11): : 2460 - 2469
  • [10] A unified framework for crop classification in southern China using fully polarimetric, dual polarimetric, and compact polarimetric SAR data
    Xie, Lei
    Zhang, Hong
    Li, Hongzhong
    Wang, Chao
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2015, 36 (14) : 3798 - 3818