A New Algorithm to Classify the Homogeneity of ERS-2 Wave Mode SAR Imagette

被引:0
|
作者
Guiting Song
Jagabandhu Panda
Yanhui Zhang
Haoliang Chen
K. Muni Krishna
机构
[1] Zhejiang Ocean University,Department of Marine Science
[2] Nanyang Technological University,School of Physical and Mathematical Sciences
[3] Shandong Agricultural University,College of Resources and Environment
[4] Universities of Shandong,Key Laboratory of Agricultural Environment
[5] Singapore-MIT Alliance for Research and Technology,Department of Meteorology and Oceanography
[6] Andhra University,undefined
关键词
Synthetic aperture radar imagette; Homogeneity; Classification algorithm;
D O I
暂无
中图分类号
学科分类号
摘要
A new classification parameter is developed using 1535 ERS-2 wave mode synthetic aperture radar (SAR) test imagettes to better differentiate homogeneous and inhomogeneous imagettes. The comparison between the new parameter (Min) and the previous one (Inhomo) (Schulz-Stellenfleth and Lehner, 2004) was done under varied threshold values of Inhomo. It is concluded that the performance of ‘Min’ is much better than ‘Inhomo’ when applying to the 1535 test imagettes. Furthermore, both Min and Inhomo are applied to nearly 1 million imagettes collected for the period from 1 September 1998 to 30 November 2000. The comparisons of the global inhomogeneous distribution between ‘Min’ and ‘Inhomo’ reveal that both the areas and percentage of inhomogeneity calculated by ‘Min’ are larger than that calculated by ‘Inhomo’. By analyzing the low wind speed distribution of HOAPS data, we found that low wind speed over the ocean is one of the key reasons for the inhomogeneity of SAR imagettes.
引用
收藏
页码:13 / 21
页数:8
相关论文
共 50 条
  • [31] Comparison of ERS-2 SAR wind measurement with an airborne Doppler lidar wind measurement
    Werner, C
    Rahm, S
    Lehner, S
    Buchhold, M
    LASER RADAR RANGING AND ATMOSPHERIC LIDAR TECHNIQUES, 1997, 3218 : 154 - 162
  • [32] Crop semivariogram texture character analysis and classification from ERS-2 SAR image
    Sun, DF
    Li, H
    SECOND INTERNATION CONFERENCE ON IMAGE AND GRAPHICS, PTS 1 AND 2, 2002, 4875 : 464 - 470
  • [33] Ground deformation at Nisyros volcano (Greece) detected by ERS-2 SAR differential interferometry
    Sykioti, O
    Kontoes, CC
    Elias, P
    Briole, P
    Sachpazi, M
    Paradissis, D
    Kotsis, I
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (01) : 183 - 188
  • [34] Validation of ERS-2 SAR offshore wind-speed maps in the North Sea
    Hasager, CB
    Dellwik, E
    Nielsen, M
    Furevik, BR
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (19) : 3817 - 3841
  • [35] Geostatistical characterization of ice surfaces from ERS-1 and ERS-2 SAR data, Jakobshavn Isbrae, Greenland
    Herzfeld, UC
    Stauber, M
    Stahl, N
    ANNALS OF GLACIOLOGY, VOL 30, 2000, 2000, 30 : 224 - 234
  • [36] First ENVISAT and ERS-2 Parasitic Bistatic Fixed Receiver SAR images processed with the Subaperture Range-Doppler Algorithm
    Sanz-Marcos, Jesus
    Mallorqui, Jordi J.
    Aguasca, Albert
    Prats, Pau
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 1840 - +
  • [37] Using ERS-2 SAR images for routine observation of marine pollution in European coastal waters
    Gade, M
    Ufermann, S
    IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 757 - 759
  • [38] Comparison of ERS-2 SAR and Landsat TM imagery for monitoring agricultural crop and soil conditions
    Moran, MS
    Hymer, DC
    Qi, JG
    Kerr, Y
    REMOTE SENSING OF ENVIRONMENT, 2002, 79 (2-3) : 243 - 252
  • [39] Interannual variability of the Storfjorden (Svalbard) ice cover and ice production observed by ERS-2 SAR
    Haarpaintner, J
    Haugan, PM
    Gascard, JC
    ANNALS OF GLACIOLOGY, VOL 33, 2001, 33 : 430 - 436
  • [40] Using ERS-2 SAR images for routine observation of marine pollution in European coastal waters
    Gade, M
    Ufermann, S
    Rud, O
    Ishii, M
    Jolly, GW
    OPERATIONAL REMOTE SENSING FOR SUSTAINABLE DEVELOPMENT, 1999, : 157 - 163