Gu Tianxiang. On the Planimetric Accuracy Obtained from Synthetic Aperture Side-looking Radar Imagery[J]. Geomatics and Information Science of Wuhan University, 1983, 8(2): 71-81.
Citation: Gu Tianxiang. On the Planimetric Accuracy Obtained from Synthetic Aperture Side-looking Radar Imagery[J]. Geomatics and Information Science of Wuhan University, 1983, 8(2): 71-81.

On the Planimetric Accuracy Obtained from Synthetic Aperture Side-looking Radar Imagery

More Information
  • Published Date: February 04, 1983
  • In this paper the experimental planimetric accuracy through performing geometric processing of three strips of Synthetic Aperture Side-looking Radar(SAR) imagery is reported,and the prospects for mapping medium and small scale maps are analyzed.The proposed method of solution has been procceeded in two stages,In the first stage,coordinates of the imagery of SAR are reduced to ground coordinates,they include the corrections of slant-to-ground rang reduction,along-track coordinates,relief displacements and earth curvature.Then,the reduced coordinates are transformed to geodetic coordinates with the help of a well distributed control points.The RMS errors in position at imagery scale computed from 158 check points are mx=0.09mm my=0.08mm ms=0.12mm The accuracy meets with the requirements of maps at a scale of 1:50000,also with ones of 1:25000 for remote areas.The results obtained herein are also tested by the author by using Derenyi and Leberl's high power polynomials.But the best one occures when the polynomials are limited to the second power without y2 term.Hence the second power polynomial is taken to represent the law of radar systematic distortion.From the exprimental results and the theoretical analysis it is shown that the removal of the adverse effect of relief displacement can increase the accuracy remarkably.This is specially important for radar imagery.It is recommended that dividing the strip imagery into sections is a way to improve its accuracy.
  • Related Articles

    [1]LI Yanjie, YANG Yuanxi, HE Haibo. Effects Analysis of Constraints on GNSS/INS Integrated Navigation[J]. Geomatics and Information Science of Wuhan University, 2017, 42(9): 1249-1255. DOI: 10.13203/j.whugis20150526
    [2]LI Yongming, GUI Qingming, GU Yongwei, HAN Songhui. The Biased Kalman Filter and Algorithm[J]. Geomatics and Information Science of Wuhan University, 2016, 41(7): 946-951. DOI: 10.13203/j.whugis20140072
    [3]LI Zengke, WANG Jian, GAO Jingxiang, TAN Xinglong. A Method to Prevent GPS / INS Integrated Navigation Filtering Divergence Based on SVM[J]. Geomatics and Information Science of Wuhan University, 2013, 38(10): 1216-1220.
    [4]HE Zhengbin, NIE Jianliang, WU Fumei, ZHANG Juqing. Kalman Filtering Algorithm Based on Random Design Matrices with Application to Integrated GNSS/INS Navigation[J]. Geomatics and Information Science of Wuhan University, 2012, 37(9): 1036-1040.
    [5]WU Fumei, NIE Jianliang, HE Zhengbin. Classified Adaptive Filtering to GPS/INS Integrated Navigation Based on Predicted Residuals and Selecting Weight Filtering[J]. Geomatics and Information Science of Wuhan University, 2012, 37(3): 261-264.
    [6]WU Fumei, YANG Yuanxi, CUI Xianqiang. Application of Adaptive Factor Based on Partial State Discrepancy in Tight Coupled GPS/INS Integration[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 156-159.
    [7]HE Dian, YUAN Yunbin, CHAI Yanju. On Adapting Kalman Filtering for Adjusting Observation Noise Covariance in GPS/INS Integration[J]. Geomatics and Information Science of Wuhan University, 2008, 33(8): 838-841.
    [8]XIAO Jinli, PAN Zhengfeng, HUANG Shengxiang. Data Synchronization Method of GPS/INS Integrated Navigation System[J]. Geomatics and Information Science of Wuhan University, 2008, 33(7): 715-717.
    [9]GAO Weiguang, YANG Yuanxi, ZHANG Shuangcheng. GPS/INS Adaptive Filtering Considering the Influences of Kinematic Model Errors[J]. Geomatics and Information Science of Wuhan University, 2008, 33(2): 191-194.
    [10]SUN Hongxing, YAN Li, JIANG Weiping. Accurately Calculating Exterior Orientation Elements of Airborne TLS Using Kalman Filter to Process the New Combination of GPS Double-Difference Carrier Phase and Doppler/INS Data[J]. Geomatics and Information Science of Wuhan University, 2004, 29(7): 642-645.

Catalog

    Article views (724) PDF downloads (151) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return