Target decomposition analysis of SIR-C data to infer surface conditions

被引:0
|
作者
Fujita, M [1 ]
Nakamura, S [1 ]
机构
[1] Tokyo Metropolitan Inst Technol, Dept Aerosp Engn, Hino, Tokyo 1910065, Japan
来源
MICROWAVE REMOTE SENSING OF THE ATMOSPHERE AND ENVIRONMENT III | 2003年 / 4894卷
关键词
radar polarimetry; target decomposition; SAR; scattering mechanism; SIR-C;
D O I
10.1117/12.466217
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
SIR-C images taken over the Sarobetsu test site are analyzed using the target decomposition method to characterize the scattering mechanisms and relate them with the surface conditions. The scattering mechanisms assumed are double bounce scattering, Bragg scattering, odd bounce scattering, and cross scattering. The SIR-C data analyzed was taken on 10 April 1994 at the incident angle of 23.8 degrees. Two target areas (forest and pastureland) are extracted from the images, where in the former double bounce and cross scatterings must exceed the others, while in the latter odd bounce and/or Bragg scattering is expected to dominate, by referring to aerial photographs. The analysis results agree well with the expectations with one exception, i.e. the most significant mechanism in the forest is the odd bounce scattering. Analysis is made on two additional areas extracted from the mountain and the wildland, and it is confirmed that the former result is similar to that of the forest and the latter result agrees with that of the pastureland. It suggests the potential of the target decomposition method to infer surface conditions.
引用
收藏
页码:487 / 494
页数:8
相关论文
共 16 条
  • [11] Wind Vector Retrieval from SIR-C SAR Data off the East Coast of Korea
    Kim, Tai-Sung
    Park, Kyung-Ae
    Moon, Woo-Il
    JOURNAL OF THE KOREAN EARTH SCIENCE SOCIETY, 2010, 31 (05): : 475 - 487
  • [12] Validation of an X-band SAR wind algorithm by SIR-C/X SAR data
    Lehner, Susanne
    Schulz-Stellenfleth, Johannes
    Brusch, Stephan
    Eineder, Michael
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 3285 - 3288
  • [13] Geologic mapping using combined analysis of Airborne Visible-Infrared Imaging Spectrometer (AVIRIS) and SIR-C/X-SAR data
    Kruse, FA
    IMAGING SPECTROMETRY II, 1996, 2819 : 24 - 35
  • [14] Target decomposition using dual-polarization sentinel-1 SAR data: Study on crop growth analysis
    Salma, Shaik
    Keerthana, N.
    Dodamani, B. M.
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2022, 28
  • [15] Target decomposition-led light-weighted offline training strategy-aided data-driven state-of-charge online estimation during constant current charging conditions over battery entire lifespan
    Cao, Ganglin
    Jia, Yao
    Zhang, Shuzhi
    Chen, Shouxuan
    Geng, Yuanfei
    Feng, Rong
    Wang, Ning
    Han, Yaoxiang
    Lu, Haibin
    Zhang, Xiongwen
    ENERGY, 2024, 307
  • [16] [1] A. Freeman, "SAR calibration: An overview," IEEE Trans. Geosci. Remote Sens., vol. 30, no. 6, pp. 1107-1121, Nov. 1992. [2] Y. K. Chan and V. Koo, "An introduction to synthetic aperture radar (SAR)," Prog. Electromagn. Res. B, vol. 2, pp. 27-60, 2008. [3] S. Adeli, "Wetland monitoring using SAR data: A meta-analysis and comprehensive review," Remote Sens., vol. 12, no. 14, pp. 2190-2217, 2020. [4] M. Tello, C. López-Martinez, and J. J. Mallorqui, "A novel algorithm for ship detection in SAR imagery based on the wavelet transform," IEEE Geosci. Remote Sens. Lett., vol. 2, no. 2, pp. 201-205, Apr. 2005. [5] M. Liao, C. Wang, Y. Wang, and L. Jiang, "Using SAR images to detect ships from sea clutter," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 2, pp. 194-198, Apr. 2008. [6] S. Song, B. Xu, and J. Yang, "SAR target recognition via supervised discriminative dictionary learning and sparse representation of the SAR-HOG feature," Remote Sens., vol. 8, no. 8, pp. 683-703, 2016.
    Chen, Jinyue
    Wu, Youming
    Dai, Wei
    Diao, Wenhui
    Li, Yang
    Gao, Xin
    Sun, Xian
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 18 : 8659 - 8671