A Block Adjustment Method of High-resolution Satellite Imagery with Straight Line Constraints

  • CAO Jinshan ,
  • GONG Jianya ,
  • YUAN Xiuxiao
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  • 1. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China;
    2. Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China;
    3. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Received date: 2015-01-12

  Revised date: 2015-04-30

  Online published: 2015-10-23

Supported by

The National Basic Research Program of China(973 Program)(No. 2012CB719902),The China Postdoctoral Science Foundation (No. 2014M562065)

Abstract

Taking "observed straight lines and predicted straight lines in image space being bound to coincide" as a geometric constraint and the rational function model (RFM) as the imaging geometric model of high-resolution satellite imagery (HRSI), a block adjustment method of HRSI with straight line constraintsis proposed. For the proposed method, the control straight line (CSL) in image space should be correspondent with the one in object space while the image point and the ground point on the lines are not necessarily correspondent. Two IKONOS images covering San Diego area, two QuickBird images covering Spokane area and two SPOT-5 images covering Provence area, respectively, were used. The experimental results showed that the proposed method can take full advantage of the control information in the form of linear features. Systematic errors in the rational polynomial coefficients (RPCs) can be compensated effectively. After block adjustment, both the planimetric and height accuracies of the IKONOS, QuickBird and SPOT-5 images reach better than 1 pixel.

Cite this article

CAO Jinshan , GONG Jianya , YUAN Xiuxiao . A Block Adjustment Method of High-resolution Satellite Imagery with Straight Line Constraints[J]. Acta Geodaetica et Cartographica Sinica, 2015 , 44(10) : 1100 -1107 . DOI: 10.11947/j.AGCS.2015.20150023

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