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Algorithms for Automatic Separation and Indexing of Image Footprints in Satellite Bundle Block Adjustment

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Abstract

This paper brings out the algorithms for automatic sorting and sequencing of images and grouping them into independent blocks from a heterogeneous database of images or sub-scenes. Method for finding the neighbors of a given image from a data base of images is also presented. These algorithms are also useful in the context of finding out the overlap area between the neighbors, automatic tie point detection and also for making mosaics over large areas. These algorithms are a part of in-house developed package for bundle block adjustment of satellite images.

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Authors and Affiliations

  1. Department of Space, Advanced Data Processing Research Institute, Secunderabad, 500 009, India

    D. Sudheer Reddy, T. Krishna Sumanth, P. V. Radhadevi, J. Saibaba & Geeta Varadan

  2. Sci/Eng, Digital Modeling and Mapping Division, Advanced Data Processing Research Institute, 203, Akbar Road, ManovikasNagar PO, Secunderabad, 500 009, India

    D. Sudheer Reddy

Authors
  1. D. Sudheer Reddy
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  2. T. Krishna Sumanth
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  3. P. V. Radhadevi
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  4. J. Saibaba
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  5. Geeta Varadan
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Correspondence to D. Sudheer Reddy.

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Reddy, D.S., Sumanth, T.K., Radhadevi, P.V. et al. Algorithms for Automatic Separation and Indexing of Image Footprints in Satellite Bundle Block Adjustment. J Indian Soc Remote Sens 43, 459–465 (2015). https://doi.org/10.1007/s12524-014-0388-2

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  • DOI: https://doi.org/10.1007/s12524-014-0388-2

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