Acta Geodaetica et Cartographica Sinica ›› 2017, Vol. 46 ›› Issue (5): 583-592.doi: 10.11947/j.AGCS.2017.20160622

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A Back Projection Algorithm for Linear Array Imageries Based on the Constraints of Object-space Relation

MO Delin1, ZHANG Yongsheng1, WANG Tao1, YANG Guopeng2,3, XIA Qin1   

  1. 1. Institute of Geographical Spatial Information, Information Engineering University, Zhengzhou 450001, China;
    2. State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan 430079, China;
    3. 95899 Troops, People's Liberation Army, Beijing 100085, China
  • Received:2016-12-09 Revised:2017-03-01 Online:2017-05-20 Published:2017-06-05
  • Supported by:
    The National Major Projects of High Resolution Earth Observation System(No. GFZX04032201-1-1);The Open Foundation of the Key Laboratory of Mapping from Space, National Administration of Surveying, Mapping and Geoinformation(No. K201508)

Abstract: Back projection is the key technology for rectification of linear array CCD imageries. On the basis of analyzing the imaging mode and characteristics of linear whiskbroom image, a back projection algorithm based on the constraints of object-space relation was proposed, aiming at the inefficiency of conventional image-based sequential or iterative search methods. The best scan-line of the adjacent point was used as a priori value, to estimate the number of the scan-lines between the adjacent point and the current point, thus locating the initial best scan-line. Then, a search window was constructed by the center of the initial best scan-line, and an accurate searching was implemented. At last, according to the orientation elements of the best scan-line, the coordinates back projection was carried out. The feasibility, accuracy and efficiency of the proposed method were verified by the experimental results of the airborne linear array whiskbroom simulated image data and the pushbroom real image data.

Key words: back projection, constraints of object-space relation, linear array whiskbroom, best scanline search

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