Comparison of Geometric Rectification Methods Based on Forest Satellite Remote Sensing Image

DOI

10.2991/itms-15.2015.134How to use a DOI?

Keywords

Remote sensing image; Geometric Rectification; accuracy analysis

Abstract

Forest remote sensing image computer processing is a technology used for improving identification ability of remote sensing image in forestry, conducting forest classification and carbon sink with the aid of electronic computers. Quickbird satellite remote sensing image is a commercial satellite remote sensing image with the highest resolution (up to 0.61 meters) currently in the world. The geometric rectification of remote sensing image is the premise to realize image application. This paper expounds the principles and methods of geometric rectification, contrastively analyzes commonly-used geometric model by high-resolution satellites, i.e. Helmert transformation, affine transformation, linear transformation and quadratic polynomial transformation. Experiments show that the quadratic polynomial transformation is feasible with relatively high rectification accuracy for flat terrains.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Weiguo Li
AU  - Wenbing Xu
PY  - 2015/11
DA  - 2015/11
TI  - Comparison of Geometric Rectification Methods Based on Forest Satellite Remote Sensing Image
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 561
EP  - 564
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.134
DO  - 10.2991/itms-15.2015.134
ID  - Li2015/11
ER  -