Impact of GCP distribution on the rectification accuracy of Landsat TM imagery in a coastal zone

被引:0
|
作者
Zhang Ying [1 ]
Zhang Dong
Gu Yan
Tao Fei
机构
[1] Nanjing Normal Univ, Coll Geog Sci, Nanjing 210097, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Telecommun Engn Dept, Nanjing 210003, Peoples R China
关键词
image rectification; ground control point; rectification residuals; coastal zone;
D O I
暂无
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
The purpose is to explore the effect of the spatial distribution of ground control points (GCPs) on the accuracy of imagery rectification. Both area-distributed and linearly distributed GCPs were used to rectify a Landsat TM image of a coastal zone. Rectification accuracy was checked against 99 independent points over the intertidal mudflats with no ground control. Results indicate that the root-mean-square error of residuals over these areas is several times larger than its GCPs-measured counterpart. If the GCPs are spatially dispersed over an area, residuals fluctuate but increase steadily with distance to the source of control in easting (R-2 = 0.827). In northing they fluctuate around 150 in until 15 km, beyond which they rise steadily at a small range of fluctuation. These residuals are less predictable from distance to the source of control than in easting (R-2 = 0.517). If the GCPs are distributed along a control line, residuals rise with distance to it linearly and predictably (R-2 = 0.877) in the direction perpendicular to it. In a direction parallel to it, the distance has little impact on rectification residuals.
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页码:14 / 22
页数:9
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  • [2] Coastal zone geomorphological mapping using Landsat TM imagery: An application in central Albania
    Ciavola, P
    Tessari, U
    Mantovani, F
    Marzotto, M
    Simeoni, U
    [J]. REMOTE SENSING FOR ENVIRONMENTAL DATA IN ALBANIA : A STRATEGY FOR INTEGRATED MANAGEMENT, 2000, 72 : 153 - 163
  • [3] COASTAL EROSION MAPPING THROUGH INTERGRATION OF SAR AND LANDSAT TM IMAGERY
    Ge, Linlin
    Li, Xiaojing
    Wu, Fan
    Turner, Ian L.
    [J]. 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 2266 - 2269
  • [4] Maximizing information content of Landsat imagery for coastal zone applications
    [J]. 2001, American Society for Photogrammetry and Remote Sensing (67):
  • [5] Maximizing information content of landsat imagery for coastal zone applications
    Smit, PH
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2001, 67 (07): : 769 - +
  • [6] Mapping forest fire impact from LANDSAT-TM imagery
    Lobo, A
    Pineda, N
    Navarro-Cedillo, R
    Fernandez-Rebollo, P
    Salas, FJ
    Fernández-Turiel, JL
    Fernández-Palacios, A
    [J]. REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY, 1998, 3499 : 340 - 347
  • [7] Accuracy comparison of Quickbird, Landsat TM and SPOT 5 imagery for Lantana camara mapping
    Taylor, S.
    Kumar, L.
    Reid, N.
    [J]. JOURNAL OF SPATIAL SCIENCE, 2011, 56 (02) : 241 - 252
  • [8] Automatic Mapping Aquaculture in Coastal Zone from TM Imagery with OBIA Approach
    Zhang, Tao
    Li, Qin
    Yang, Xiaomei
    Zhou, Chenghu
    Su, Fenzhen
    [J]. 2010 18TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS, 2010,
  • [9] A technique for assessing the accuracy of subpixel impervious surface estimates derived from Landsat TM imagery
    Jarnagin, ST
    Jennings, DB
    Ebert, DW
    [J]. REMOTE SENSING AND GIS ACCURACY ASSESSMENT, 2004, : 269 - 280
  • [10] A PRELIMINARY ASSESSMENT OF LANDSAT TM IMAGERY FOR MAPPING VEGETATION AND SEDIMENT DISTRIBUTION IN THE WASH ESTUARY
    DONOGHUE, DNM
    SHENNAN, I
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1987, 8 (07) : 1101 - 1108